Across processes and applications, 疯拍传媒 BTP helps improve operational efficiency, enhance the customer experience, and drive innovation. The latest offers a preview of what the future holds for our customers and partners.

疯拍传媒 BTP already offers features such as code generation, application logic, data models, and test scripts, enabling businesses to modernize their IT landscapes, streamline their processes, and make more informed decisions through a consistent data foundation. As we continue to embed generative AI across the platform toolbox, 疯拍传媒 BTP is the trusted business AI platform for 疯拍传媒-centric landscapes.

Here are some highlights:

• Joule, our AI copilot, will see increasing adoption across 疯拍传媒 BTP to help provide information and data, give intelligent recommendations, and execute tasks based on natural language interactions. Looking forward, we will extend Joule to empower customers to build their own generative AI agents and skills. 
• We aim to enhance all 疯拍传媒 BTP services by incorporating additional AI functionalities. Beyond generating code and application logic such as with , , and 疯拍传媒 BTP for the , this will include managing processes and business rules (), handling integration mappings and flows (), and creating analytical charts and stories ().听
• 疯拍传媒 HANA Cloud vector engine and the knowledge graph in 疯拍传媒 Datasphere will help enable customers to better contextualize their input to large language models (LLMs) to achieve high-precision results.
• The set of AI partner offerings accessible in the generative AI hub in 疯拍传媒 AI Core, which is part of 疯拍传媒 BTP, will continue to grow. Customers will soon be able to use them in the context of their business process directly. 
• 疯拍传媒 BTP Cockpit will also include more generative AI capabilities that can simplify the experience around day-to-day administration tasks.

疯拍传媒 BTP is our secure and reliable engine that helps drive business innovation in organizations. And we will make it available to even more customers in the future: 疯拍传媒 recently announced a substantial expansion of regional 疯拍传媒 BTP availability by the end of 2025.

By ensuring access to 疯拍传媒 BTP in more locations via new data centers, we are empowering more customers and partners around the globe to modernize IT landscapes, streamline business processes, and utilize data for better decision-making. While increasing the footprint of 疯拍传媒 BTP globally, we are also infusing our platform with AI capabilities.

With global expansion on the horizon and the addition of AI, it’s all set to help businesses run smoother and make smarter decisions. If you’re curious about our strategic direction and what鈥檚 next, I highly recommend taking a look at our latest .

Michael Ameling is executive vice president and chief product officer of 疯拍传媒 Business Technology Platform.

Together with implementation partner ABeam Consulting, the migration will leverage NEC鈥檚 generative AI technology and 疯拍传媒鈥檚 natural language, generative AI Joule copilot.

NEC, a Japan-based multinational leader in the integration of IT and network technologies, was seeking to optimize costs and streamline data systems to increase integration across its lines of business. As part of advancing its digital transformation, NEC will migrate from on-premise 疯拍传媒 S/4HANA software to 疯拍传媒 S/4HANA Cloud and adopt a clean-core approach, which emphasizes standard offerings and extends them while also reducing future upgrade and operational costs.

NEC is currently operating a large-scale system that includes 1,200 add-ons and more than 200 external interfaces. To migrate to the cloud, NEC will use generative AI to facilitate a clean-core transformation, streamline migration costs and improve operational efficiency. NEC鈥檚 generative AI and 疯拍传媒鈥檚 Joule copilot for natural language processing will automate critical processes such as add-on analysis, report interpretation, code generation from specifications and test automation. Joule is 疯拍传媒鈥檚 generative AI assistant that understands the user鈥檚 unique role and acts as a work copilot across 疯拍传媒 applications to streamline tasks. NEC will be among the first companies to leverage AI tools from 疯拍传媒 to streamline its migrations.

“NEC sees itself as the first customer of its own innovations, applying cutting-edge technologies internally and sharing the gained insights and know-how with customers and society,鈥� NEC President and CEO Takayuki Morita said. 鈥淭his milestone implementation with 疯拍传媒 creates a new industry blueprint for other businesses looking to migrate to the cloud, underscoring NEC’s commitment to leading by example in technological adoption and societal contributions.鈥�

By migrating to 疯拍传媒 S/4HANA Cloud, NEC anticipates more-efficient system operations by tapping into AI to support version upgrades and reduce future operation-related costs while being able to quickly respond to market changes. By leveraging innovative technologies including AI, NEC aims to digitally drive societal and industry transformations. This migration to the cloud is a key part of NEC’s 2025 mid-term management plan focusing on internal, customer and societal digital transformations.

鈥淥ur shared vision with NEC of creating a sustainable society through digital transformation is the foundation for our long-term partnership,鈥� said Christian Klein, CEO and member of the Executive Board of 疯拍传媒 SE. 鈥淭his project marks a milestone in our relationship, and we鈥檙e excited to support NEC on their continued transformation journey.鈥�

Visit the 疯拍传媒 News Center. Follow 疯拍传媒 at .

About 疯拍传媒

As鈥痑 global leader in enterprise applications and business AI, 疯拍传媒 (NYSE: 疯拍传媒)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 疯拍传媒鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 疯拍传媒鈥檚 2023 Annual Report on Form 20-F.
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Blau joined 疯拍传媒 in 2010 and has held various executive leadership positions with a strong track record in process management and business transformation. As chief process and information officer (CPIO), he represents the Corporate Processes & Information Technology (CPIT) organization with the main objective to enable 疯拍传媒 to scale and increase productivity through process transformation and optimization powered by AI. At the same time, the unit functions as the company’s own best reference customer showcasing how 疯拍传媒 runs 疯拍传媒.

In this interview, Blau discusses his role and the transformation of the IT industry in general.

Q: For those not familiar with the Corporate Processes & Information Technology organization, what is its role within 疯拍传媒?

A: It is widely recognized and acknowledged that the traditional concept of IT Services has undergone a significant shift in recent years, thanks to advancements in cloud computing, AI, and Big Data. Companies need to double down on their core strength and USP while demonstrating their ability to scale. To do so, IT has become a strategic instrument to enable every business to be more adaptable, scalable, and intelligent.

At 疯拍传媒, we have invested a considerable amount of time and resources in this transformation, turning IT into a strategic enabler for business growth and a trusted technology partner. However, companies need to rethink their strategies to outperform their competitors by demonstrating operational efficiency and accelerated scalability. We see a substantial requirement to focus on process excellence and automation powered by AI. This means unleashing productivity through simplification and standardization of processes, powered by business AI and 疯拍传媒’s own technology.

With that in mind, our strategic focus has evolved beyond information technology to support end-to-end process excellence with clear accountabilities that drive autonomy and quick decision-making. And that is the leading aspect of the CPIT organization.

Q: How would you describe the difference between the CIO and CPIO?

A: For me, the key difference lies within the approach to problem-solving. Rather than focusing solely on products or tools, the CPIO tends to tackle issues at the process level, where the root causes are often found. Especially as a SaaS company, we tend to solve every issue with another tool or a customization and/or a worst-case modification of a system, while in many cases the problem can be solved by standardizing and simplifying the way we work.

Hence, in addition to our information technology strategy, it is crucial for our organization to fulfill our mandate as 疯拍传媒鈥檚 business process design authority, emphasizing our responsibility to oversee and optimize business processes. This means the business defines the strategy and clear objectives — aka the 鈥渨hy鈥� and 鈥渨hat鈥� — while we define 鈥渉ow鈥� to get there in the most end-user friendly and productive way.

Q: What are you most looking forward to in your new role? 

A: Coming from my former role leading Industry Engineering for 疯拍传媒, I love working close to products and customers. To this extent, I have the perfect job as we are 疯拍传媒鈥檚 customer and first adopter of new technology, all while I am in the luxury position of being able to authentically talk to 疯拍传媒鈥檚 customers about our challenges and solutions, being their trusted 鈥減eer鈥� in the industry. This also means demonstrating how we boost productivity for 疯拍传媒 mainly through our fast-growing AI portfolio.

Q: The past five years have seen a tremendous amount of innovation, especially with the rise of generative AI. How will this influence the role of CIOs or that of an IT organization in the next two to five years?

A: In the coming two to five years, the influx of generative AI promises to revolutionize the landscape of IT organizations and the role of CIOs. Let me give you three examples.

First, it will significantly boost IT productivity by automating repetitive tasks and streamlining processes, which will free up valuable resources to either 鈥渄o more with the same鈥� or elevate those roles to even higher value-adding ones. Second, as CIOs in SaaS companies are customer zero, it is our task to showcase how AI can unlock value in highly differentiating parts of our value chain as innovation leaders of the industry. Third, with data even further emerging as a crucial competitive advantage, CIOs will increasingly focus on harnessing and maximizing the value of data assets. This entails not only owning and controlling data, but also developing new data products and mastering provisioning, management, and analysis, thereby cementing data management as a core responsibility of the IT organization.

For 疯拍传媒, this clearly is the competitive edge in the AI game, as we have access to the probably largest amount of business data to feed high-value AI scenarios.

Q: Considering the fast-tracked development of AI and its potential impact, what is your approach for CPIT and 疯拍传媒 at large?

A: The strategic role of my organization in that context is twofold. First, we are the early adopter of every AI case ideated and developed at 疯拍传媒, with an obligation to challenge the level of quality, maturity, and value on behalf of our customers. Second, I expect my team to also come up with new ideas and potential AI use cases, try them out, and be equally strict in their assessment regarding desirably, feasibility, and especially viability.

At the end of the day, business AI is about quality not quantity. To accelerate AI innovation, we have started an internal initiative to identify use cases with the highest value. This includes a process that also ensures we focus on the most effective solutions. By implementing quality gates in each step of the process, we also prioritize quality over quantity. This enables us to implement use cases that clearly demonstrate business value.

Marcus Kabat is head of CPIT Business Operations at 疯拍传媒.

鈥淢oving to an as-a-service model dramatically changes how an organization does business and keeps customers satisfied, starting with product design and pricing through synchronized order fulfillment, revenue recognition and sharing, invoicing, and contract management,鈥� said Mirjam Wittmann, director of Product Marketing, High Technology at 疯拍传媒. 鈥淲e鈥檙e seeing our customers begin with a targeted pilot in one line of business, followed by refinements and expansion to monetize XaaS packages for greatest competitive advantage.鈥�

XaaS-Driven Growth at Lenovo: Go Bigger Than Back Office

Everything-as-a-service business models are essential to growth plans. Long recognized for laptops, phones, tablets, data center servers, and business solutions, the company鈥檚 service-led transformation has been a catalyst for significant expansion in its non-PC business, accounting for over 42% of the company鈥檚 revenue.

鈥淲e’re in a phase of rapid acceleration, focusing our efforts on the expansion and refinement of our XaaS capabilities and business infrastructure,鈥� said Arthur Hu, senior vice president and chief information officer at Lenovo and chief technology and delivery officer at 尝别苍辞惫辞鈥檚 Solutions and Services Group. 鈥淭his journey involves a multifaceted approach, combining agile development, strategic partnerships, and continuous optimization to ensure that our XaaS offerings meet the evolving needs of our clients.鈥�

Hu said that  provides Lenovo with the flexibility to monetize services through pay-as-you-go, subscription, consumption-based, outcome-based, and other models. For example, the company can structure pay-as-you-go packages priced by the customer鈥檚 power consumption, storage of gigabytes, utilization, and number of nodes in an installation.

鈥淩edefine your product hierarchies to fit the as-a-service world. Update financial accounting for managed services, such as revenue recognition and costing. Provide the sales team with a clear understanding of the offerings so they can articulate the value to customers,鈥� Hu said. 鈥淢ake sure that every impacted system has the integrated data for accurate and timely fulfillment and entitlement that delivers the optimal customer experience and desired outcomes.鈥�

Personalized XaaS Offerings Generate Revenue at Autodesk

offers customers both subscription- and usage-based models for nearly all products across 50 countries. As a global leader in the design and software industry for media, construction, and engineering, Autodesk is using XaaS to future-proof the company.

鈥淎s-a-service provides us with a scalable, nimble foundation that drives better outcomes for customers and generates a steady stream of revenue for the company. We can quickly offer customers personalized products and pricing combinations for faster go-to-market,鈥� said Sudhir Misal, senior director of Engineering at Autodesk. 鈥湻枧拇� solutions are the backbone of our as-a-service business model, helping us cost-efficiently manage orders, converged invoicing, contract accounting, and the financial supply chain. For example, we鈥檝e reduced quarterly financial closing times by over 80%.鈥�

Misal agreed that a successful XaaS strategy requires a mindset shift.

鈥淵ou need to partner closely with your system provider, in our case it was 疯拍传媒, to understand the business context behind the offering. We focused on standardizing as much as possible,鈥� Misal said. 鈥淐hange management was a priority as we went through this journey that included all stakeholders. By talking with peer companies to hear their learnings, we avoided repeating mistakes that others have made.鈥�

Generative AI Promises Dynamic Innovation

No discussion of high-tech innovation would be complete without addressing the significance of generative AI. Misal said that Autodesk was exploring how AI can help companies quickly test and adopt value-added XaaS offerings.

鈥淕enerative AI can analyze data to help organizations see how customers are behaving depending on the services they鈥檙e using,鈥� said Wittmann. 鈥淒ata from generative AI can help companies cross sell and upsell personalized services that meet individual customer preferences, increasing customer loyalty. With faster market demand insights, companies can dynamically adjust XaaS bundles and iterate fresh ideas to take advantage of emerging opportunities before the competition.鈥�

WALLDORF and ARMONK听鈥� IBM (NYSE:听) and (NYSE: 疯拍传媒) today announced their vision for the next era of their collaboration, which includes new听听capabilities and industry-specific cloud solutions that can help clients unlock business value.

“IBM and 疯拍传媒’s shared approach to generative AI, built on an open ecosystem, trust and purpose-built models, will help empower clients to听optimize business outcomes,” said听John Granger, Senior Vice President, IBM Consulting. “Our new Value Generation partnership initiative will enable clients to accelerate the path to innovation, competitive advantage and become a next generation enterprise through generative AI.”

“It makes perfect sense to expand our partnership with IBM to help more customers accelerate their cloud journey leveraging RISE with 疯拍传媒 and realize the transformative benefits of generative AI for business in the cloud,” said Scott Russell, Chief Revenue Officer & Executive Board Member, Customer Success of 疯拍传媒 SE. “This expanded partnership will help more of our joint customers reach new heights by innovating through the cloud, data and business AI to grow and transform their businesses.”

 and 疯拍传媒 aim to accelerate transformation enabled by RISE with 疯拍传媒 by supporting clients in the following key areas:

• Next-Generation AI Business Processes: Together, the companies are exploring opportunities to build new generative AI capabilities for RISE with 疯拍传媒 and infuse AI into 疯拍传媒 business processes across industry-specific cloud solutions and line of business applications. Initially, IBM plans to extend AI capabilities across 疯拍传媒鈥檚 portfolio of cloud solutions and applications, all of which are underpinned by 疯拍传媒 Business Technology Platform (疯拍传媒 BTP). This includes RISE with 疯拍传媒, the GROW with 疯拍传媒 solution, financial solutions for the office of the CFO, supply chain management solutions,  solutions for human capital management, 疯拍传媒 Customer Experience solutions and intelligent spend management solutions. IBM also plans to leverage 疯拍传媒 Signavio and 疯拍传媒 Business AI solutions to help define next-generation business processes through a proof-of-concept adoption program.
• Next-Generation Industry Innovation: IBM and 疯拍传媒 plan to build intelligent industry use cases, enabled by data-driven insights, into end-to-end business processes to fuel next-generation industry innovation. These use cases will initially focus on the industrial manufacturing, consumer packaged goods (CPG), retail, defense, automotive and utilities industries. This includes IBM鈥檚 recent work with 疯拍传媒 to develop new AI solutions for the CPG and retail industries. As part of this initiative, IBM has begun the development of an extensive portfolio of over 100 AI solutions across industry, line-of-business and product delivery. In addition, IBM plans to develop prescriptive industry value maps that define next-generation business processes and opportunities for impact with AI. Clients will be able to access all of these new AI solutions through the global and sites.
• Next-Generation Platform Architecture and Customer Adoption Approach: Next-generation enterprises require next-generation platform architectures and a modernized approach to customer adoption. Through the Value Generation partnership initiative, IBM intends to provide next-generation reference architectures that enable a clean core approach. To do this, IBM plans to leverage 疯拍传媒 BTP, 疯拍传媒 Signavio and  LeanIX solutions. These new reference architectures will help define standards across data, process, systems and device integration, process orchestration and automation. IBM consultants supporting clients on 疯拍传媒 projects can also leverage IBM Consulting Advantage, IBM鈥檚 AI services platform, and its portfolio of proprietary methods, assets and Assistants to bring more repeatability and consistency to client delivery.  With IBM Consulting Advantage, IBM consultants can transform the way they deliver 疯拍传媒 solutions to boost productivity and mitigate risk by leveraging generative AI to help complete tasks like generation of user stories, test scripts, training and change management content and code creation.
• Next-Generation Ecosystem Expansion: IBM and 疯拍传媒 plan to partner around their respective employee network groups and 鈥渘ext-gen鈥� communities, such as the business women鈥檚 networks at IBM and 疯拍传媒, the program and the program of 疯拍传媒 and Veterans at IBM to increase the 疯拍传媒 solutions experience in the consulting workforce and develop the next generation of talent. The companies also plan to explore new ways to collaborate on social impact programs, such as training at- risk youth in the IT sector and accelerating the integration of social businesses into global supply chains.
• watsonx Planned Availability on the Generative AI Hub: IBM Granite Model Series are expected to be accessible for use across 疯拍传媒鈥檚 portfolio of cloud solutions and applications 鈥� which is underpinned by the generative AI hub in 疯拍传媒 AI Core. The generative AI hub facilitates relevant, reliable and responsible business AI and provides instant access to a broad range of large language models (LLMs). This expands on IBM and 疯拍传媒鈥檚 collaboration around . To further highlight watsonx.ai Granite capabilities, IBM Consulting plans to build extensions using the model on the generative AI hub for select customers.

This initiative will build on the companies’ over 50-year collaboration based on deep technology, industry and domain expertise and demonstrates the two organizations’ joint commitment to continue to evolve to put clients first and meet market demand.

IBM Consulting accelerates business transformation for our clients through hybrid cloud and AI technologies, leveraging our open ecosystem of partners. With deep industry and business expertise spanning strategy, experience design, technology, and operations, we have become the trusted partner to the world’s most innovative and valuable companies, helping modernize and secure their most complex systems. Our 160,000 consultants embrace an open way of working and apply our proven, collaborative engagement model, IBM Garage, to scale ideas into outcomes. As the only major global systems integrator inside a technology company, we don’t just advise 鈥� we invent and build what’s next together with our clients. Find out more at .

To learn more about the Value Generation partnership initiative, visit听.

Visit the . Follow 疯拍传媒 at .

About IBM

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to effect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s commitment to trust, transparency, responsibility, inclusivity and service.

痴颈蝉颈迟鈥�痜or more information.

About 疯拍传媒

As鈥痑 global leader in enterprise applications and business AI, 疯拍传媒 (NYSE:疯拍传媒)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 疯拍传媒鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 疯拍传媒 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1疯拍传媒 (1-800-872-1727)

For more information, press only:
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疯拍传媒 疯拍传媒 Room; press@sap.com
Jamee Nelson, IBM, 听jamee.nelson@ibm.com听

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 疯拍传媒鈥檚 2023 Annual Report on Form 20-F.
漏 2024 疯拍传媒 SE. All rights reserved.
疯拍传媒 and other 疯拍传媒 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 疯拍传媒 SE in Germany and other countries. Please see for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.鈥�

That鈥檚 where Claudio Muruzabal, chief business officer of 疯拍传媒 SE, steps in.

Muruzabal is responsible for supporting the Customer Advisory, Solution Area and Services Sales, and Customer Success Management & Engagement teams at 疯拍传媒. For more than eight years, he has played an important role in understanding not only an increasingly complex technology landscape but also how businesses actually use the technology at their disposal. He supports teams that help bring 疯拍传媒 customers closer to their goals by leveraging 疯拍传媒 solutions. This begins with advising customers through honest conversations about how they can apply the intelligent capabilities now included in many 疯拍传媒 solutions, such as generative AI.

I sat down with Muruzabal to find out more about his role, how 疯拍传媒 customers are winning with intelligent technology, and the growing impact of customer success management at 疯拍传媒.

Q: AI is all the rage today, so let鈥檚 start there. What are the biggest opportunities for businesses to use AI?

Muruzabal: Opportunity is everywhere for AI. And it鈥檚 bigger than just automating processes to increase efficiency, which is what was talked about for the longest time. At 疯拍传媒, we鈥檙e seeing how AI can support relevant business processes to instill innovation and competitiveness. While many players in the industry are focused on developing AI engines and large language models, we are focused on accelerating business value through generative AI. I could talk all day about how AI is transforming data analytics and decision-support systems as well as supply chain optimization, predictive maintenance, and HR. Every day we are discovering new opportunities for customers to leapfrog their competition when they combine the power of generative AI with the context of their business data and processes.

What are some examples of how 疯拍传媒 customers are using AI, and what value have they realized so far?

There鈥檚 really so much to get excited about when it comes to how our customers are using the AI capabilities included with their 疯拍传媒 solutions. Across industries, workers everywhere are using natural language to instantly get the data insights they need using the 疯拍传媒 Analytics Cloud solution. I like how busy recruiters can tap into generative AI with 疯拍传媒 SuccessFactors solutions to create compelling job descriptions and interview questions in less time. Joule, our AI assistant and copilot, can support end users in getting the right answers on how to get the most of our cloud solutions. With Joule already embedded across the portfolio 鈥� generally available in 疯拍传媒 SuccessFactors HCM, 疯拍传媒 Start, and 疯拍传媒 S/4HANA Cloud 鈥� we are all excited about the opportunities for our customers.

All industries can get this unique value, including professional soccer clubs FC Bayern Munich and Hertha BSC that are using a scouting prototype powered by AI to find and develop the next generation of star athletes.

AI can solve a lot of problems, but what about the underlying foundational technology stack companies have today? What conversations are you having with businesses about their technology investments?

Early on in our conversations with customers, it鈥檚 important to understand how businesses can set up their core, foundational enterprise technology platform running in the cloud. This is critical to establish a journey of innovation including . Coming back to the foundation, many of our customers have built numerous modifications on top of their core ERP. In order to build a true cloud operating model 鈥� essential to embrace innovation including AI 鈥� it is critical to move to a clean core model. This means that any modification to the ERP functionality offered by 疯拍传媒 is built outside of the core, using extensibility solutions. This is not a technical topic only. Although clean core contributes to the cost-efficient operation of the platform, the true contribution is bringing flexibility and adaptability to the business, converting the cloud operating model into a unique 鈥渋nnovation as a service鈥� platform.

What makes 疯拍传媒 unique and stand out to customers with its value proposition?

疯拍传媒 has the unique value of being the global leader in best of suite solutions built with more than 50 years of industry knowledge and ERP technology leadership. On top of this, our leading 鈥渂est of breed鈥� solutions, such as in HCM, customer experience, intelligent spend and business network, and more, can provide the best functionality and the right integration into the core. Only 疯拍传媒 can offer this value proposition. When we combined this with the cloud operating model 鈥� widely adopted by our RISE with 疯拍传媒 customers 鈥� we provide exponential value for the innovation as a service proposition.

How can customers get the most from their investments? What kind of support is there to help them transform and innovate?

Customer success management is essential in the cloud. It is the end-to-end engagement with our customers, from advisory to sales execution to onboarding, adoption, and consumption. We provide the tools, assets, and content to help accelerate adoption and consumption so as to maximize the value from first use of the solution to full and future use. 疯拍传媒 Preferred Success services can accelerate the time to value even more. To support this motion, deep telemetry being built into our cloud solutions allows customers and our customer success management leaders to better understand how the solutions are being used while identifying opportunities to expand usage.

Where do advisory services fit into the customer journey?

Customer advisory services might be the most essential part of the journey with a customer. Successful projects start with the right business case definition, anchored in the best understanding of the industry and business of our customers. With that in mind, our Customer Advisory teams support building the right technical solutions that can support an enterprise architecture. This is the first step in moving in the right direction of building the cloud operating model.

Gaming is something that keeps inspiring me. I鈥檓 amazed by the speed, accuracy, and level of concentration of professional players. It鈥檚 impressive how this industry has evolved and grown over just a couple of decades.

Team Liquid commands an imposing presence in the esports world, boasting over 160 professional players across more than 15 different games and a staggering fan base of over 10 million followers on various social media platforms. With more than 75 premier events won, Team Liquid is one of the most successful organizations in competitive gaming.

The game with the highest viewership and extensive fandom is League of Legends. Team Liquid successfully competes with their League of Legends team, which recently won the League of Legends Championship Series (LCS) 2024 Spring tournament.

In League of Legends, the goal is to create a strong and balanced team consisting of five characters, called “champions,” in order to outplay and outsmart the opponents during the game by being one step ahead of competition.

Teams participate in a pre-game draft process to select champions before a match. This involves banning and picking champions from a pool of 166 choices to create a strong team.

Champions are the in-game figures controlled by each player. Each champion has particular skills and areas in which they excel. Putting the champions together allows the team to play in various strategic directions to win the match.

After choosing five champions (鈥減ick鈥�), each team is also allowed to remove five champions from the pool (鈥渂an鈥�). Those players cannot be picked by either side. This can be utilized to remove specific parts that would otherwise counter a strategy or hinder the other team from playing their favorite style and/or composition.

Esports teams and their analysts need to prepare for the draft process, as it requires knowledge of the opponent’s favorite picks and strategies. Imagine a five-a-side dodgeball match, but before the match begins, the five players from each team draw their champions from a pool of 166 individual champions.

With bi-weekly updates to the game (鈥減atches鈥�), especially affecting the champions as well as indirectly teams practicing and developing new strategies, competitive League of Legends is an ever-changing game. It creates the need to constantly adapt your draft to a new environment, to analyze both your own and the opposing team’s behavior.

Furthermore, the nature of the draft process and the varying strategies of opponents make accurate predictions difficult. Esports teams have only a week to prepare for the game and gather knowledge about the other team鈥檚 favorite champion picks, strengths, and weaknesses.

Previously, Team Liquid coaches prepared draft scenarios based on manual analysis of the opponent team鈥檚 draft behaviors and champion preferences. However, the challenge was that manual analysis is done before the draft, with the best potential pick or ban changes based on the decisions of the other team. Additionally, the sheer number of potential matches to choose from and the different strategies employed by opponent teams make manual draft prediction very difficult.

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疯拍传媒 Helps Change the Game

What if Team Liquid could analyze in seconds the best choice for upcoming drafts, including picks and bans, while considering more than 6,000 professional esports matches from the past year? What if the analysis would also consider the impact of game patches from the publishers by taking an additional 1.6 million amateur matches into account to assess changes in the power attributes and strengths of the champions? With 疯拍传媒, this is now a reality.

By using 疯拍传媒 AI Core to train a generative AI model that takes data from past matches and puts them into context of the upcoming game, Team Liquid gets suggestions of the best draft picks and bans to maximize the chances to win.

The solution is built on 疯拍传媒 Business Technology Platform (疯拍传媒 BTP), and the data is stored in 疯拍传媒 HANA Cloud to cope with the 1.6 terabyte game data from past games. The result is an intelligent draft bot training, an application that runs on 疯拍传媒 BTP, visualizes the predictions, and provides Team Liquid with the current winning probability after each pick and ban.

Manual Analysis Is a Thing of the Past

With the AI draft bot, Team Liquid can train for draft situations against any professional team they face in a matter of seconds. This is achieved by incorporating multiple influencing factors based on an unprecedented number of matches. The coaches and players benefit from the opportunity to conduct what-if analyses and derive valuable knowledge from the data to simulate new strategies. This is also reflected in the time saved compared to the previous manual analysis: Team Liquid saves approximately 10,000 hours per year per year with the solutions from 疯拍传媒.

Relying on 疯拍传媒 BTP and 疯拍传媒 HANA Cloud, 疯拍传媒 Business AI provides Team Liquid with the opportunity to further improve their game by leveraging data to make more informed decisions. Here is where fun and business meet.

This is how the power of business AI is made tangible in a perfect way — not just for gamers.

Philipp Herzig is chief artificial intelligence officer of 疯拍传媒.

Let’s be honest 鈥� do you know what your company spends daily across different areas like office management, production, or logistics? Expense management sheds light on this expenditure, allowing companies to analyze, document, and manage their expenses effectively. 

Digital solutions for spend management provide transparency and visibility across all expenses, enabling companies to identify potential risks faster and address them proactively. Additionally, they make CO₂ emissions transparent along the value chain, empowering companies to implement decarbonization measures and reduce their carbon footprint. 

AI as a Booster for Procurement and Purchasing Processes 

Artificial intelligence (AI) has become an integral part of our daily lives, optimizing search engine results, personalizing advertising, and facilitating automatic text translation. On smartphones, we have streaming services, online shopping platforms, and even household appliances. AI is subtly integrated to make cumbersome, everyday tasks easier and more efficient. Since the rise of generative AI, companies and entire industries have been diligently working to incorporate it into their solutions for improved processes and efficiency. 

Procurement is one field where the impact of polycrisis is keenly felt, which has driven important changes. Resilience, transparency, and sustainability are the keywords here 鈥� and AI can make the crucial difference. 

AI can digitalize the procurement function, making it more efficient. Stakeholders rightly expect AI implementation to enhance decision-making, automate processes, and expedite insights. AI can also contribute to cost reduction and error rate mitigation. The question is no longer whether companies will adopt AI but when they will do so. And that time has to be now.

AI Strategies: Think Holistically 

To ensure the success of such projects, a holistic approach is needed. AI should become an integral part of the entire procurement process to benefit all areas. This begins with a consistent transformation strategy aligned with the company’s goals and values. It is important to have a strategic, solutions-oriented approach that makes it possible to find answers to real-life business challenges. By effectively integrating AI into data analysis and prediction models, companies can unlock tangible value and drive meaningful outcomes. The quality of the results depends on the quality and availability of corporate data 鈥� and this is where the greatest potential for improvement lies. Companies should clean up their data pool so that only valid and meaningful data is included. 

For spend management, procurement, and purchasing, generative AI in particular holds enormous potential. As in every area where AI is deployed, 疯拍传媒 has committed to strictly adhering to the principles of relevance, reliability, and responsibility in spend management, thoroughly examining each application accordingly. Employees can be relieved of repetitive, manual, and time-consuming tasks, allowing them to focus better on their core tasks. For example, Joule, 疯拍传媒鈥檚 generative AI copilot, will be embedded across 疯拍传媒鈥檚 portfolio, including procurement solutions.

As an intelligent copilot, it can understand natural language, process data from 疯拍传媒 and third-party systems, and derive new insights from them. Thanks to unified data models, it can provide users with appropriate answers to their questions that fit the specific business context and thus helps to ensure that AI makes a meaningful contribution, enhancing business success. Moreover, it can offer meaningful advice to help them solve their daily tasks more intelligently and quickly, thereby helping to increase their efficiency in a secure and compliant manner. The practical use cases are numerous, ranging from HR or finance to supply chain management, procurement, and customer experience. Following our principle of responsibility, Joule can, for example, assist the HR department in eliminating potential bias from job descriptions and can even formulate suitable interview questions based on these job descriptions.

Category management plays a significant role in procurement, enabling companies to optimize their procurement strategies, strengthen supplier relationships, and reduce costs. Accordingly, 33% of procurement experts consider it a top technology trend to focus on in the next 12 to 18 months. A digitalized and AI-enhanced category management company integrates generative AI to increase efficiency and precision in product categorization and procurement. By applying AI-supported algorithms, relevant data is automatically analyzed, leading to informed insights for optimized inventory management and strategic purchasing decisions. 

With the steadily growing amount of data generated by daily business operations, it is becoming increasingly challenging for companies to find the resources to make the most of their own data, all while ensuring data privacy and security aspects are maintained. This data needs to be made accessible, visualized, and processed in a way that it can be leveraged. Therefore, it is important to rely on strong partners like 疯拍传媒 that bring both technical and strategic expertise to develop goal-oriented solutions with a strong focus on data protection and integrity. Now is the time to advance procurement through intelligent collaboration, smart category management, and an AI mindset. 

Practical Example: Category Management at OMV 

OMV, a global chemical and energy company based in Austria, is transitioning its linear value chain into a circular one with the aim of becoming a leading provider of more sustainable fuels, chemicals, and materials. Procurement plays a key role in this transformation. OMV is automating and streamlining all procurement and supply chain processes. The company is now planning to digitalize category management. 

At the core of this initiative is , based on 疯拍传媒 Business Technology Platform (疯拍传媒 BTP) and supported by generative AI. This solution helps procurement teams develop more effective category strategies by helping to accelerate the market analysis process and provide targeted recommendations. This can lead to faster and more efficient category management processes and increased cost savings. 

Complex planning processes that were once done manually can now be easily executed with 疯拍传媒 Ariba Category Management. The solution integrates features and tools to help leverage data for Big Data analytics, and it can provide comprehensive end-to-end visibility throughout the procurement process. 

The adoption of 疯拍传媒 Ariba Category Management offers OMV numerous benefits, including improved efficiency, cost savings, and the promotion of sustainability through the selection of more environmentally friendly suppliers and products. By implementing 疯拍传媒 Ariba Category Management, OMV successfully bridges the digital gap in procurement and takes another significant step towards a circular value chain. 

Curious to Learn More?

Learn more about intelligent category management at , taking place October 14-16, 2024, in Las Vegas.

Elena Parker is chief revenue officer for Intelligent Spend and Business Network, MEE, at 疯拍传媒.

Paul Saunders, head of Product Strategy and chief evangelist of Cloud ERP for鈥枧拇解�疭/4HANA put it this way during a : 鈥淭rust is not the engine oil, it鈥檚 the essence of business.鈥�

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In the interview, Saunders explains this and other aspects of the changing relationship between humans. The former Gartner analyst believes that this changed relationship has pushed trust to the top of the corporate agenda and made 疯拍传媒鈥檚 commitment to relevant, reliable, and responsible business AI all the more crucial.

鈥淭he relationship between 疯拍传媒 and our customers for the longest time was transactional,鈥� he says. But the shift to the cloud has changed that. From the customer鈥檚 perspective, in a cloud environment the SaaS vendor is effectively running the business and that requires a whole new level of trust.

As Saunders notes, “When a data center goes down the customer can’t just say, ‘Hey Bob, get down to the computer room and reboot the box.’ Now, with AI, it’s not just the data we’re providing, but information and recommendations. And some of those recommendations might challenge what the person thinks intuitively.”

For example, when Saunders was CIO of a golf cart maker in Georgia that shipped the carts all over the United States, he put in an early AI-based route planning package designed to optimize the deliveries of the carts to customers across the country.  

But despite the potential efficiency gains promised by the technology, the CEO who had run the company for 40 years and was accustomed to relying on his own judgment overruled the software and insisted that the drivers follow his preferred delivery route.

This resistance to change reflects a broader reluctance to embrace data-driven decision-making, with individuals often interpreting data in a way that reinforces their existing beliefs rather than challenging them.

When faced with the suggestion from a machine to do something different, most people will only follow the advice if they have solid confidence in the accuracy of the underlying data and can retain oversight of the process. 

That, according to Saunders, plays to 疯拍传媒鈥檚 advantage. He acknowledges that 疯拍传媒 is sometimes considered to be 鈥渁 little bit old fashioned,” but also thought of as “incredibly reliable and trustworthy.鈥� 

In such a fast-changing and unpredictable environment 鈥� one in which many experts, including Saunders, predict that at least one big brand name company will be in the news 鈥渇or doing something terrible with AI鈥� 鈥� 疯拍传媒鈥檚 commitment to delivering dependable solutions infused with relevant, reliable, and responsible business AI is key. 

For Saunders, the importance of fostering trust and confidence in both the technology itself and the organizations deploying it, particularly in industries where risk aversion and conservatism are prevalent, cannot be overstated.  

But he also believes that organizations need to strike a balance between automation and human intervention, recognizing that while AI can streamline processes and improve efficiency, human judgment and oversight remain essential for ensuring the accuracy and reliability of AI-generated insights.  

In the end, what really matters to customers is not the technology itself, but the business value that it creates. 鈥淚f you go to any CEO or CFO, they will tell you they only care about three things: revenue, cost, and risk. That鈥檚 it.鈥�

Ultimately, he says, 鈥淓verything we do has to show the business value.鈥� 

Like at home, identifying every dollar you spend and getting the most out of it is more critical than ever for your business. And as we continue to roll out 疯拍传媒 Business AI technology, the teams behind 疯拍传媒 solutions are working on ways to help you reduce the time spent on mundane tasks so you can focus on executing your strategy, unlocking spend potential, and unleashing efficiency.

The first quarter of 2024 was among the most productive in my 18 years at 疯拍传媒. We debuted new AI capabilities in various 疯拍传媒 spend management solutions. Check out some of these highlights:

• 疯拍传媒 Ariba Category Management: We鈥檝e incorporated that can assist category managers by generating recommendations in the solution鈥檚 category segmentation, market dynamics, and cost structure tools.
• Scoutbee Discovery: 疯拍传媒 partnered with Scoutbee, a leading AI-powered supplier intelligence and discovery platform, to launch . This 疯拍传媒 endorsed app can rapidly identify qualified suppliers that meet specific criteria and can help advance strategic business imperatives. of me participating in a recent LinkedIn Live with the Scoutbee team.
• Concur Request: Now, this service uses generative AI to help provide for trip planning.
• ExpenseIt: Users can upload receipt images to the ExpenseIt solution, which taps AI to help with several key fields prepopulated. Plus, ExpenseIt can now itemize hotel folios using generative AI.
• Generative AI search: A new capability within Concur Support allows 疯拍传媒 Concur customers to type questions in natural language and get quick answers using generative AI, .

疯拍传媒鈥檚 market-leading spend and business network solutions are getting even smarter, working to unlock greater value for our customers. We have many resources devoted to spend management and that鈥檚 why we continue to deliver innovation in spend management.

And we are only getting started. By the end of 2024,  is planning the following enhancements:

• Generative AI RFI/RFP responses in 疯拍传媒 Business Network Discovery: With generative AI-enabled responses for postings in 疯拍传媒 Business Network Discovery, suppliers will be able to respond to RFIs promptly and more accurately, helping to save time and reduce costs associated with manual labor and resource allocation.听听
• Catalog enrichment using ChatGPT recommendations: This feature can enable suppliers to generate and improve product descriptions and overall catalog quality based on prompts and keyword recommendations from ChatGPT.听
• Intelligent error simplification using generative AI:听This feature uses machine learning and a large language model to interpret and categorize invoice rejection reasons, allowing suppliers to reduce the number of failing invoices, improve rapid invoice submission and payment, and optimize cash flow.

For more on how AI is transforming business networks, read this recent article from my colleague Joern Keller.

But What Are Our Customers Saying?

Each quarter, G2 highlights the top rated solutions in the industry, chosen by the source that matters most: customers. Spring 2024 is no different, and once again our suite of spend and business network solutions scored extremely well.

• is a G2 Spring Leader in Vendor Management.
• is a G2 Spring Leader in Procure to Pay, Purchasing, Strategic Sourcing, Supplier Relationship Management, and Contract Lifecycle Management.
• is a G2 Spring Leader in Expense, Travel & Expense, and Invoicing.

What鈥檚 more, G2 recently announced its , with 疯拍传媒 Fieldglass and 疯拍传媒 Concur receiving high honors:

• 疯拍传媒 Fieldglass came in at No. 26 in G2鈥檚 Best Software Awards across all products and No. 12 in G2鈥檚 Best Software Awards for best midmarket products.
• 疯拍传媒 Concur came in at No. 4 in G2鈥檚 Best Software Awards for the account and software product category.

My colleagues are also getting their flowers. Etosha Thurman, chief marketing and solutions officer of Intelligent Spend and Business Network, and Steve Seide, global head of Adoption for Intelligent Spend and Business Network, were named Top Procurement Pros in the . A big congratulations also goes out to Darcy MacClaren, CRO for 疯拍传媒 Digital Supply Chain, who received a Pros to Know Lifetime Achievement award.

Driving Success for Our Customers

Hearing me spotlight our direct and indirect procurement, external workforce, and travel and expense management solutions is one thing. Seeing them in action is something way more powerful. Here are a few recent customer success stories to take in:

• American Eagle Outfitters (AEO), a leading global specialty retailer offering high-quality on-trend clothing, accessories, and personal care products through its portfolio of brands, needed to evaluate indirect purchasing processes and vendor relationships to maximize efficiency. See how helped simplify processes and deliver compliant purchasing protocols across the company.
• Power provider to over 900,000 electric customers, Oklahoma Gas & Electric Company (OG&E) faced challenges with the complexity of third-party and cross-department management of contingent workers. After transitioning 疯拍传媒 Fieldglass solutions to internal management, OG&E gained the visibility to make more informed financial decisions, like supplier negotiations.
• Vestas Wind Systems, the world鈥檚 largest manufacturer of wind turbines, launched a large-scale quality initiative powered by 疯拍传媒 Business Network to help mitigate product defects in a highly complex supply chain. Now, using 疯拍传媒 Business Network, suppliers complete predefined quality tests and document them before confirming or sending an order. This enables Vestas employees to be warned in advance of any quality issues further up the supply chain, so they can take corrective action.
• Most KUKA employees are based in Germany, where tax regulation is complex and submitting hotel and entertainment expenses is anything but simple. The KUKA team worked together to develop a simple process using 疯拍传媒 Concur solutions, connected to 疯拍传媒 ERP, that allows employees to create hotel and entertainment expenses with fewer errors and fewer rejected expense reports.

Join Us at 疯拍传媒 Sapphire!

疯拍传媒 Sapphire & ASUG Annual Conference is June 3-5 in Orlando, Florida, this year and I can鈥檛 wait to meet with customers, partners, and my fellow colleagues. This is the best event in the industry in my opinion and you don鈥檛 want to miss out. Join us by registering on the , where you can also save your spot at the 疯拍传媒 Sapphire Virtual and 疯拍传媒 Sapphire Barcelona events. See you there!

Jeff Collier is chief revenue officer for 疯拍传媒 Intelligent Spend and Business Network.

And for you and your business, you can tell all those success stories 鈥� and more 鈥� with the 疯拍传媒 SuccessFactors HCM suite and our first half 2024 release.

As your organization and employees begin to embrace AI, HR has the opportunity to drive new levels of employee productivity, engagement, and growth. 疯拍传媒 SuccessFactors HCM can give you everything you need 鈥� the global foundation, skills framework, people-first experiences, and purpose-built AI capabilities 鈥� to help take HR to the next level. With the 疯拍传媒 SuccessFactors first half 2024 release, we are delivering more than 250 innovative features and enhancements.

疯拍传媒 Business AI

In 1H 2024, we are thrilled to introduce more than 25 new AI capabilities to enable better employee experiences and new levels of productivity.

Among these capabilities include the ability for applicants to provide skills during the application process. This can enable recruiters to see a skills compatibility for each applicant based on matching the applicant鈥檚 skills and the job requisition, helping improve applicant screening and time to hire. Furthermore, personalization in 疯拍传媒 SuccessFactors Opportunity Marketplace is enhanced with new AI-driven recommendation categories, 鈥淚gnite Your Role鈥� and 鈥淩each Your Aspirations.鈥� These guided experiences can enable employees to proactively take steps to reach their development goals.

Generative AI continues to be embedded across the 疯拍传媒 SuccessFactors HCM suite, including new capabilities to help employees create ready-made performance and development goals and AI-assisted writing to help improve the quality, clarity, and conciseness of writing across a variety of areas within 疯拍传媒 SuccessFactors solutions.

Further, with this release, insights based on an employee鈥檚 compensation and job history are available to help support managers in having effective and well-informed compensation discussions. 

We have also added more than 15 new capabilities in this release to help both managers and employees get work done in a conversational way, such as creating or changing a position, creating spot awards, clocking in and out, and viewing pay statements as well as time capabilities like requesting time off, checking leave balances, and syncing holidays to Outlook calendars while managers can review and approve time off. Further, employees can now clock in and out using Joule, Microsoft Teams, or the 疯拍传媒 SuccessFactors Mobile app.

疯拍传媒 SuccessFactors Employee Central

We are excited to unveil two new people profile experiences 鈥� the profile preview and the spotlight view. The profile preview can provide a snapshot of key areas of the employee profile, including job, manager, location, and contact details, to quickly view and connect with others. Additionally, the spotlight view can showcase employee skills and competencies, mentoring and target roles, and other relevant personal and organizational information.

We are also introducing a new org chart experience with a refreshed look and feel. Available on desktop and mobile, users can explore their organizational structure with improved expand and collapse capabilities, which helps provide full accessibility to an employee鈥檚 profile preview, with an option to open the new spotlight view.

Customers can now automatically process new hires from 疯拍传媒 SuccessFactors Recruiting and 疯拍传媒 SuccessFactors Onboarding into 疯拍传媒 SuccessFactors Employee Central. This capability helps further reduce the time to hire, which is especially important with mass, seasonal, and high-volume hiring.

疯拍传媒 SuccessFactors Employee Central Global Benefits

With this release, we are pleased to introduce a new benefits enrollment experience for insurance, savings, and pension benefit types. Available on both desktop and mobile, the guided experience for benefits elections can give employees increased convenience with improved navigation and increased confidence with side-by-side plan comparisons and embedded instructional text. Additionally, employees can update dependent information and manage beneficiaries directly from the benefits enrollment process, which helps further streamline the enrollment experience.  

疯拍传媒 SuccessFactors Time Tracking

We are thrilled to share the launch of a new time sheet experience that integrates the latest version of My Timesheet in 疯拍传媒 S/4HANA with 疯拍传媒 SuccessFactors. Employees can now record time for payroll, as well as against activities and cost objects, from a single time sheet across applications. This helps organizations leverage real-time connectivity between HR and finance operations to keep track of employee activity and labor costs and to pay employees accurately and on time.

Additionally, a new monthly calendar view for time sheets can give employees and managers a complete picture of recorded time over a month. Users can drill down into specific days and submit or approve time for pay periods beyond a week, such as biweekly or monthly.

For managers, a new time approval center helps simplify approvals with a centralized dashboard highlighting anomalies for swift resolution. Managers can monitor team working hours effectively, helping to ensure accurate and timely payroll processing.

疯拍传媒 SuccessFactors Onboarding

With enhancements to the onboarding journey experience, new hires can now use the new Your Onboarding Checklist page to reference and complete all tasks 鈥� onboarding data collection, compliance tasks, additional onboarding tasks, and exploring the onboarding guide 鈥� from one place with a single view. Available for new hires, rehires, internal hires, and employees with global assignments, this improved experience can save time for onboarding participants while helping to ensure productivity from the start.

And that鈥檚 only a fraction of all the innovations we鈥檙e bringing to customers in 1H 2024. There鈥檚 much more in the release, including new and exciting updates in:

• Generative AI and Joule capabilities
• 疯拍传媒 SuccessFactors Opportunity Marketplace
• 疯拍传媒 SuccessFactors Compensation
• 疯拍传媒 SuccessFactors Succession & Development
• 疯拍传媒 SuccessFactors Incentive Management
• 疯拍传媒 SuccessFactors Work Zone

Read the and watch the to find out more.

Bianka Woelke is group vice president of Application Product Management at 疯拍传媒.

By shifting towards a skills-based approach to talent acquisition and development, companies can build a workforce that is not only capable of meeting current demands, but also equipped to navigate future challenges effectively. Here are three strategies for building a dynamic organization with a skills-based approach to talent.

1. Identify and Prioritize Critical Skills

The first step in implementing a skills-based approach is to identify the key skills that are crucial for the organization’s success. This involves analyzing the current and future needs of the business and understanding the skills that are in high demand in the market. By prioritizing these critical skills, organizations can focus their hiring efforts on candidates who possess or have the potential to develop these competencies.

With the 疯拍传媒 SuccessFactors talent intelligence hub, organizations can have the power and simplicity of a single skills model from recruiting, onboarding, learning, and development, all the way through to performance and succession.听It helps to better understand, build, and leverage the skills of workforces. It can connect individual skills, attributes, strengths, and preferences to both people and experiences throughout听疯拍传媒 SuccessFactors solutions.

By creating a comprehensive overview of the skills available within the organization, managers can identify gaps and areas for improvement. This information can inform talent development initiatives, such as training programs or job rotations, to help employees acquire the necessary skills to excel in their roles. For example, within the talent intelligence hub there is a team growth portfolio view, which allows managers to quickly assess skill gaps and search for prioritized skills within their teams.

2. Foster a Culture of Continuous Learning

Building a dynamic organization requires a culture that supports continuous learning and skill development. Organizations can encourage employees to enhance their skills through internal training programs, mentorship opportunities, and access to external resources. By creating a learning environment where employees are motivated to upskill and reskill, organizations can ensure that their workforce remains adaptable and competitive in a rapidly changing market.

AI-enabled learning platforms can deliver personalized and adaptive training programs based on individual skill gaps and career aspirations. with embedded AI can give organizations a wide range of capabilities that help enhance a learner鈥檚 experience with relevant recommendations that are unique to each learner and based on their needs and interests. In addition, has AI-driven recommendations to help match employees with assignments, career opportunities, mentors, and more. This solution considers not only qualifications but also skills, experiences, and preferences, so that organizations can ensure better talent alignment and engagement.

3. Embrace Flexibility and Adaptability

In a skills-based approach to talent management, organizations need to be flexible and adaptable in their recruitment and development practices. This means being open to hiring candidates with transferable skills and potential for growth, rather than focusing solely on specific job titles or qualifications. This can be made possible with technology that supports skills-based hiring.

With , skills can be aligned to job requisitions and skills-based candidate evaluations. This can allow hiring managers to view rankings of candidates and determine the best candidate based on their skill proficiency. In addition, recruiters can leverage generative AI capabilities to help enhance job descriptions, including the proper skills and competences, which helps recruiters hire the best talent for a role. By embracing a more flexible approach to talent acquisition, organizations can build a diverse workforce with a wide range of skills and perspectives, driving innovation and creativity.

A skills-based approach to talent management can help organizations build a dynamic and resilient workforce that is equipped to thrive in today’s fast-paced business environment. By prioritizing critical skills, fostering a culture of continuous learning, and embracing flexibility in recruitment and development practices, organizations can create a competitive advantage through their most valuable asset 鈥� their people.

To learn more about how to build a dynamic organization with a skills-based approach to talent, register for this听 on Thursday, April 25, at 1:00p.m. EST.

Christina Russo is a global director of Product Marketing at 疯拍传媒 SuccessFactors.

Enterprise GPT and digital launchpad, powered by Joule, won silver in the Best Use of Technology in Sales category, while 疯拍传媒 Digital Value Discovery won bronze for Value-Based Selling Techniques.

Digital customer engagement at 疯拍传媒 is executed via digital hubs located at 15 locations across six continents. The hubs are home to more than 1,000 digitally skilled, multi-disciplinary teams that innovate with and apply AI capabilities to serve personalized and immersive engagements, whenever and wherever needed.

鈥湻枧拇� digital hubs were able to support more than 22,000 customer engagements last year 鈥� primarily virtually 鈥� thanks to a plethora of AI tools we adopt internally to drive wider customer coverage and faster execution of digital customer engagements,鈥� explains Sam Masri, global head of Digital for Customer Success at 疯拍传媒.

鈥淲e are scaling and expanding our digital customer engagement capabilities to every customer-facing role and function in 疯拍传媒, ensuring everyone uses multiple AI tools to outsource administrative, repetitive, and manual activities to AI,鈥� he elaborates. 鈥淭his way, we have more capacity to focus on strategic activities that address customer needs and increase customer satisfaction. We engage with 疯拍传媒 customers of all sizes and industries at a pace that matches their pressing business requirements, accelerating business outcomes they get from our cloud solutions.鈥�

The Stevie Awards encompass several of the world鈥檚 leading business award programs, including the prestigious American Business Awards庐 and International Business Awards庐. More than 2,300 nominations from organizations of all sizes across all industries from 47 nations and territories were evaluated in this year鈥檚 competition. Finalists were determined by the average scores of more than 200 professionals worldwide.

For example, the introduction of low-code/no-code has made application development accessible to everyone in an organization 鈥� with or without a technical background 鈥� to improve experiences for everyone. Just take Dak, the then 12-year-old junior app developer from Massachusetts, who was part of my . With 疯拍传媒 Build solutions, Dak was able to develop all kinds of apps and publish them to a wide audience, such as the 鈥淜nowledge 4 Ever鈥� app that offers kids a playful learning experience during summer break.

Then, there are cloud technologies that further boost accessibility and offer other benefits. Generative artificial intelligence (AI) has put more power into more hands. Another advancement, composable technology, will make it easier for businesses to quickly assemble, reassemble, and compose solutions to meet their needs and those of their customers.

Over the course of my 11-year journey at 疯拍传媒, the 疯拍传媒 Innovation Awards have served as a one-of-a-kind global platform to showcase customers and partners that have used their creativity, teamwork, 疯拍传媒 products, and cloud technologies to achieve remarkable results. This year, though, is a different experience for me. As an executive sponsor of the awards, I鈥檝e had the privilege of experiencing up close what makes this program and the participating businesses so special.

Today, I am thrilled to announce the . Out of 170 businesses, one in three were chosen as finalists and now the winners have been announced. These winners come from various industries and locations worldwide. What all of them share is the use of 疯拍传媒 products and technologies to create innovative solutions for their customers, employees, and communities. Congratulations to all participants for demonstrating remarkable abilities and highlighting the importance of curiosity and continuous learning!

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AI Plays a Critical Role

Generative AI has empowered more people. Many of the participants have utilized 疯拍传媒 Business AI to boost their businesses. Take the winner , one of the world鈥檚 leading suppliers of automotive seat systems, which has leveraged 疯拍传媒 solutions, including 疯拍传媒 AI Launchpad and 疯拍传媒 AI Core, to revolutionize cockpit customization. When personalizing cockpit elements such as seats, door panels, and dashboards, OEMs and customers can see the carbon impact of each choice. By providing and promoting more sustainable and environmentally friendly options, Martur Fompak has decreased carbon emissions by 34% for each seat the company produces. AI has also helped the company increase its efficiency to achieve calculations 50 times faster than with manual methods and accelerate data collection by 75 times.听

Sustainability for a Better World Today 鈥� and Tomorrow

Technology has significantly contributed to improving lives, both within and beyond business contexts. Numerous winners like Martur Fompak have prioritized sustainability. Let us look at one more innovator in this area: .

A producer of high-quality sherries, Gonz谩lez Byass is committed to the circular economy concept of eliminating waste, circulating materials, and regenerating nature. The company deploys sustainable and water-saving agricultural techniques. To assist with eliminating and recycling waste, Gonz谩lez Byass turned to 疯拍传媒 and 疯拍传媒 Responsible Design and Production. The company needed a faster, more transparent way to gather and manage data, specifically around the purchase and use of plastic. With 疯拍传媒 Responsible Design and Production, Gonz谩lez Byass can quickly and effectively monitor, measure, and act on data. The company recovers 99% of the waste generated during production while recycling 100% of paper, cardboard, glass, and plastic.  

Adoption Can Be Challenging

Even top technologies such as AI may need support to gain widespread acceptance. Many of this year鈥檚 winners have been innovative with their focus on adopting 疯拍传媒 technology. is a prime example.

A leader in onshore/offshore wind energy production, Vestas wanted to improve its supplier and partner collaboration and selected 疯拍传媒 for the task. Vestas began its journey with 疯拍传媒 in 2007 by employing 疯拍传媒 ERP Central Component and consolidating to ONE ERP in 2015. Since 2017, the company has been transforming its digital procurement for supplier collaboration with 疯拍传媒 Ariba solutions. Last year, Vestas began to build out its value chain alongside suppliers and partners with 疯拍传媒 Business Network, enabling data transparency and connectivity in finance, production planning, and logistics management. As a result, 6,000 suppliers were onboarded, US$12.5 billion in purchase orders was executed, 350,000 orders were confirmed, and 25,000 advance ship notices were generated, to name a few transactions 鈥� all in 2023. 

I am happy to say that the 2024 疯拍传媒 Innovation Awards honor businesses that have demonstrated their innovation and effective use of 疯拍传媒 products and technologies. They鈥檝e adapted to and met the ever-changing needs of their customers and communities and, as I wrote earlier, achieved remarkable results in diverse areas. Congratulations to all winners! 

The Winners Shine in Seven Categories

If you’re curious about the path to victory for our winners, learn more in this article. Thirty winners were selected, covering the following categories:

• Business Innovator, focusing on transforming the supply chain, processes, or business networks using cloud solutions from 疯拍传媒
• Industry Leader, for employing 疯拍传媒 solutions to address big challenges and change how business is conducted
• Experience Wizard, for achieving business transformation with cloud solutions from 疯拍传媒 to improve employee and customer experiences
• Sustainability Hero, achieving sustainability with leading-edge solutions
• Services Supernova, for outstanding achievements in transforming businesses into sustainable enterprises
• Transformation Titan, demonstrating exceptional innovation and transformational leadership in using 疯拍传媒 Business Technology Platform (疯拍传媒 BTP)
• Partner Paragon, for accelerating the adoption of 疯拍传媒 BTP

Juergen Mueller is chief technology officer and a member of the Executive Board of 疯拍传媒 SE.

But in reality, some functions are much better suited than others to gain from AI. The deeper the reservoir of data associated with an operational process 鈥� and the broader the sharing of that data not only within an organization but among its trading partners as well 鈥� the greater the potential for AI to bolster collaborative capabilities, instill operational resilience, and unlock exponential value.

By facilitating the convergence of trading partners鈥� operational data, cloud-based networks strengthen transparency and foster collaboration across interconnected processes such as procurement, supply chain, logistics, and asset management. The vast troves of data accumulated from these functions 鈥� and the insights they reveal 鈥� bear significant implications for forecasting demand, planning inventory, sourcing components, procuring labor, maximizing utilization, managing logistics, gauging sustainability, achieving compliance, and securing financing. Yet the sheer volume of such data, sometimes spanning billions or more transactions, can defy human interpretation in the quest to optimize decision-making.

That鈥檚 where artificial intelligence comes in.

As the world鈥檚 largest B2B collaboration platform, facilitates hundreds of millions of transactions per year, capturing a unified, end-to-end view of spend. So prodigious is the cloud-based network鈥檚 volume 鈥� exceeding US$5.3 trillion in commerce annually, greater than the gross domestic product of every nation except the United States and China 鈥� that, through innovations in predictive and technologies, 疯拍传媒 Business Network is transforming procurement, supply chain, logistics, asset management, and related operational processes, with the goal that every business runs as an intelligent, sustainable enterprise.

The cloud is uniquely fit for the task of delivering simplicity within a many-to-many network of trading partners. A network鈥檚 features, from its search functionality to the matching of buyers with suggested suppliers, must aid the dual goals of transparency and ease of use. Predictive and generative AI capabilities augment businesses鈥� ability to discover trading partners on the basis of complementary resources, mutual value, and strategic alignment. With every successive use, generative AI sharpens its ability to anticipate operations professionals鈥� requirements to match supply with demand. Meanwhile, AI helps businesses to automate their most time-consuming procurement and supply chain activities through predictive mechanisms as well, hastening the ability to arrive at better, more informed decisions. When applied to the broadest possible sets of operational data, AI removes the guesswork from business-to-business commerce and replaces it with new leads, renewed confidence, and resilient supply chains.

With these objectives in mind, 疯拍传媒 Business Network is transforming its powerful discovery functionality into a simple chat prompt this year. Also in 2024, generative AI will enable 疯拍传媒 Business Network to create catalog content based on existing data in the network, detect potential errors within invoices, and obtain quote requests from buyers via natural-language, on-screen dialogue with matched suppliers. Integrating AI capabilities into 疯拍传媒 Business Network thus promises to reshape the trading partner experience by enabling buyers to reach far more suppliers with precision for the specific goods and services they produce. Trading partners large and small benefit equally from the increased flow of accurate, detailed, and complete information identifying each other鈥檚 offerings and competitive advantages.

As AI technologies take shape and mature, infusing intelligence natively into business processes, digital commerce platforms are certain to introduce many enhanced capabilities. Naturally, with its scale and history of innovation, you can expect 疯拍传媒 Business Network to lead the way. But you鈥檒l know the moment that artificial intelligence has truly transformed enterprise software when its features subtly blend in, almost imperceptibly, to simplify everyday operational processes, making business applications more intuitive and predictive for trading partners. That is our vision for AI at 疯拍传媒 Business Network, where the intelligence may be increasingly artificial but the commitment to customer success is invariably genuine.

For further information on 疯拍传媒 Business Network and how we are equipping enterprises with AI and other digital tools needed to counter disruption, visit and .

J枚rn Keller is executive vice president and chief product officer of 疯拍传媒 Business Network.

疯拍传媒 HANA Cloud is a market-leading database-as-a-service enabling intelligent data applications and is one of the most adopted services within 疯拍传媒 Business Technology Platform (疯拍传媒 BTP) internally at 疯拍传媒. As of today, more than 180 different applications and services use 疯拍传媒 HANA Cloud with its multi-model capabilities.

Now, 疯拍传媒 HANA Cloud is also a leader in the generative AI age.

At 疯拍传媒, we work with various LLMs such as GPT-4, Llama2, Falcon-40b, and Claude2. While these models offer amazing opportunities, they also have limitations. For example, LLMs may rely on outdated training data and lack company-specific data and business process context.

As an example, imagine having an LLM as a colleague. This colleague would be very intelligent, able to program, pass exams, or have arguments 鈥� but this colleague would not know anything about what happened in the world in the past year, nor have any idea about internal processes of your company or any of your systems. Even worse, after every conversation you have, this colleague would forget what you just talked about. Working with such a lack of memory would be of limited value. This shortcoming is why an LLM cannot answer easy questions like 鈥淲hat do you think about the offer from our most important supplier last week?鈥� An LLM can only work with the initial training data 鈥� all other data must be provided as context.

Supplementing this lack of information is where 疯拍传媒 HANA Cloud vector engine can assist. The engine can provide LLMs with all the relevant data of an organization through a process called “retrieval-augmented generation.”

A Game-Changing Feature

So how does the vector engine work? It is a new addition to 疯拍传媒 HANA Cloud’s multi-model engines, enabling customers to utilize the similarity between two or more vectors to solve business problems. With the integration of AI-focused technology, 疯拍传媒 HANA Cloud can now empower businesses to combine intuition along with data-driven insights to solve even the most complex of problems.

Some key benefits and features of the vector engine include:

• Multi-model: Users can unify all types of data into a single database to build innovative applications using an efficient data architecture and in-memory performance. By adding vector storage and processing to the same database already storing relational, graph, spatial, and even JSON data, application developers can create next-generation solutions that interact more naturally with the user.
• Enhanced search and analysis: Businesses can now apply semantic and similarity search to business processes using documents like contracts, design specifications, and even service call notes.
• Personalized recommendations: Users can benefit from an improved overall experience with more accurate and personalized suggestions.
• Optimized large language models: The output of LLMs is augmented with more effective and contextual data.

The Database Foundation of 疯拍传媒鈥檚 Generative AI Strategy

The addition of the vector engine establishes 疯拍传媒 HANA Cloud as the default database in 疯拍传媒’s generative AI solution strategy. Customers can create the next level of user experiences along with other services within 疯拍传媒 BTP. As an example, 疯拍传媒 BTP can provide centralized access to SaaS-based LLMs from multiple vendors as well as host LLMs from open-source models or third parties. The generative AI hub in 疯拍传媒 AI Core, a capability that facilitates the use of generative AI capabilities, will soon rely on 疯拍传媒 HANA Cloud as the primary vector storage. One function of the generative AI hub feature is to help provide a process for creating embeddings and storing the resulting vectors in 疯拍传媒 HANA Cloud. Customers building intelligent data applications can use both services together to augment LLM queries with relevant context for meaningful answers.

疯拍传媒 is working on foundation models that are specific for 疯拍传媒-related industry and process knowledge.

The Database for Innovation

疯拍传媒 HANA Cloud continues to lead the market by storing and processing different types of relevant business data 鈥� all within the same database. The new vector engine, combined with other multi-model capabilities, opens a world of possibilities for applications to help enhance the execution of business processes. Whether improving search capabilities, gaining deeper insights for informed decisions, or optimizing LLMs, 疯拍传媒 HANA Cloud enables the type of applications that can elevate the expertise and effectiveness of every user.

To learn more, sign up for . Do you already have a use case for 疯拍传媒 HANA Cloud vector engine in mind? If so, consider registering for the .

Juergen Mueller is CTO and member of the Executive Board of 疯拍传媒 SE, Technology & Innovation.
Stefan Baeuerle is head of Database, 疯拍传媒 HANA Database, & Analytics for Technology & Innovation at 疯拍传媒.

These announcements were made at , the flagship conference for 疯拍传媒 Concur users and experts, from March 19-21 in Las Vegas.

AI is only as good as the quality and breadth of the data it draws upon. 疯拍传媒 Concur is one of the global market leaders in travel and expense solutions with more than 92 million end users booking travel and/or processing expenses.

疯拍传媒 debuted new business AI capabilities in 疯拍传媒 Concur solutions to help customers save time and improve accuracy when managing business travel and expenses:

• Concur Request: Now uses generative AI to provide intelligent cost estimates for trip planning.
• ExpenseIt solution: Customers can upload receipt images to ExpenseIt web, where it taps AI to automatically create a new expense with several key fields prepopulated. Plus, ExpenseIt now itemizes hotel folios using generative AI.
• Generative AI search: A new capability within Concur Support allows 疯拍传媒 Concur customers to type questions in natural language and get quick answers using generative AI without having to submit a support ticket.

The evolution of Concur Travel, featuring a consumer-grade user experience, now offers new content and features:

• Hotel and rail content: New direct integrations to American Express GBT, BCD, CWT RoomIt, FCTG and HRS designed to enhance the traveler鈥檚 shopping experience by providing more options, clarity and transparency. Additionally, users can search, book and purchase UK rail content.
• Microsoft Teams integration: Travelers can share a reservation from their Concur Travel trip list to a Microsoft Teams chat, so that coworkers can book the same trip.
• Sustainability-based travel decisions: Through an integration with , one of the travel industry鈥檚 leading independent sustainability intelligence platforms, evolution of Concur Travel users can view and sort the greenhouse gas emissions of each flight segment, as well as rail and car rental options, and browse hotel providers by emissions, certifications and sustainability scores.

The new, reimagined Concur Expense experience is AI-powered, optimized for mobile and already being used by early adopter customers. In the new experience, expense reports are automatically created and easily managed thanks to the following capabilities and a :

• Automatic expense entry, itemization, and categorization with ExpenseIt
• Timeline view of expenses
• Intelligent notifications such as missing receipts, missing attendees or expense reports ready for submission
• Attendee suggestion based on expense type and amount
• Automated expense creation for Mastercard transactions

To learn more about at 疯拍传媒 Concur Fusion or to join the virtual event, visit .

Visit the . Follow 疯拍传媒 at .

Media Contact:
Kelly Murray, +1 (978) 708-6821, kelly.murray@sap.com, ET
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This material is provided by 疯拍传媒 SE or an 疯拍传媒 affiliate company for informational purposes only, without representation or warranty of any kind, and 疯拍传媒 or its affiliated companies shall not be liable for errors or omissions with respect to the material. The only warranties for 疯拍传媒 or 疯拍传媒 affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. No part of this material may be reproduced or transmitted in any form or for any purpose without the express permission of SE or an 疯拍传媒 affiliate company. 疯拍传媒 SE or its affiliated companies have no obligation to pursue any course of business outlined in this material or any related presentation, or to develop or release any functionality mentioned therein. This material, or any related presentation, and 疯拍传媒 SE or its affiliated companies鈥� strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be 漏 2024 疯拍传媒 SE or an 疯拍传媒 affiliate company. All rights reserved. See Legal Notice on www.sap.com/legal-notice for use terms, disclaimers, disclosures, or restrictions related to this material. 3 / 3 changed by 疯拍传媒 SE or its affiliated companies at any time for any reason without notice. The information in this material is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. Some software products marketed by 疯拍传媒 SE and its distributors contain proprietary software components of other software vendors. Please note the national product specifications may vary. This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.  Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 疯拍传媒鈥檚 2023 Annual Report on Form 20-F.

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WALLDORF and SANTA CLARA, Calif. 鈥� (NYSE: 疯拍传媒) and (NASDAQ: NVDA) today announced a partnership expansion focused on accelerating enterprise customers鈥� ability to harness the transformative power of data and generative AI across 疯拍传媒鈥檚 portfolio of cloud solutions and applications.

The companies are collaborating to build and deliver 疯拍传媒 Business AI, including scalable, business-specific generative AI capabilities inside the Joule copilot from 疯拍传媒 and across 疯拍传媒鈥檚 portfolio of cloud solutions and applications 鈥� all of which are underpinned by the 疯拍传媒 generative AI hub. The generative AI hub facilitates relevant, reliable and responsible business AI and provides instant access to a broad range of large language models (LLMs).

听As part of 疯拍传媒鈥檚 ongoing initiative to build generative AI directly into the applications that power the world鈥檚 businesses, the partnership aims to help customers adopt generative AI capabilities at scale across their organizations. 疯拍传媒 will use to fine-tune LLMs for domain-specific scenarios and deploy applications with new 鈩� microservices. 疯拍传媒 and NVIDIA plan to make the new integrated capabilities available by the end of 2024.

鈥淓nterprise customers want to leverage state-of-the-art technology that delivers real business value,鈥� said Christian Klein, CEO and Member of the Executive Board of 疯拍传媒 SE. 鈥淪trategic technology partnerships, like the one between 疯拍传媒 and NVIDIA, are at the core of our strategy to invest in technology that maximizes the potential and opportunity of AI for business. NVIDIA鈥檚 expertise in delivering AI capabilities at scale will help 疯拍传媒 accelerate the pace of transformation and better serve our customers in the cloud.鈥�

鈥湻枧拇� is sitting on a gold mine of enterprise data that can be transformed into custom generative AI agents to help customers automate their businesses,鈥� said Jensen Huang, founder and CEO of NVIDIA. 鈥淭ogether, NVIDIA and 疯拍传媒 will bring custom generative AI to the thousands of enterprises around the world that rely on 疯拍传媒 to power their operations.鈥�

Harnessing Business Data and Generative AI to Advance Customer Insights

疯拍传媒 and NVIDIA plan to collaborate to integrate generative AI into cloud solutions from 疯拍传媒, which include the latest release of the 疯拍传媒 Datasphere solution, 疯拍传媒 Business Technology Platform (疯拍传媒 BTP) and RISE with 疯拍传媒.

疯拍传媒 plans to build additional generative AI capabilities within 疯拍传媒 BTP using NVIDIA鈥檚 generative AI foundry service, featuring AI supercomputing, software and NVIDIA AI Foundation models. These new capabilities are designed to be the basis of 疯拍传媒鈥檚 development and deployment of generative AI for customers and is expected to be accessible in the generative AI hub in 疯拍传媒 AI Core and 疯拍传媒 Datasphere.

Additional generative AI initiatives include:

• New capabilities for the Joule copilot: Joule can leverage (RAG) capabilities built by NVIDIA and 疯拍传媒, which can be deployed on leading hyperscalers or 疯拍传媒鈥檚 own cloud environments. As a natural-language, generative AI copilot, Joule helps customers unlock the potential in their business by automating time-consuming tasks and quickly analyzing business-critical data to deliver more intelligent, personalized experiences.
• Innovative use cases leveraging 疯拍传媒 S/4HANA Cloud, 疯拍传媒 SuccessFactors and 疯拍传媒 Signavio: 疯拍传媒 and NVIDIA are exploring more than 20 generative AI use cases where the companies can combine assets to simplify and enhance digital transformation. Among these are generative AI features that can automate enterprise resource planning with intelligent invoice matching in 疯拍传媒 S/4HANA Cloud; improve human resources use cases leveraging 疯拍传媒 SuccessFactors; and accelerate new generative AI insights from 疯拍传媒 Signavio to better process business recommendations and optimize 疯拍传媒鈥檚 customer support processes.
• Unifying AI data sources with 疯拍传媒 Datasphere: Built on 疯拍传媒 BTP, 疯拍传媒 Datasphere enables integration and a unified view of semantically rich 疯拍传媒 data with third-party data across the enterprise landscape to help customers adapt faster to market changes and make more efficient and better informed decisions. With 疯拍传媒 Datasphere, customers can confidently access a high-quality data fabric using AI and machine learning (ML) models. To accelerate 疯拍传媒鈥檚 federated machine learning (FedML) capabilities for 疯拍传媒 Datasphere, NVIDIA and 疯拍传媒 are facilitating easier access to data for data scientists and enhancing ML workload performance with the support of NVIDIA accelerated computing platforms and NVIDIA AI Enterprise data science software such as 鈩�.
• Using LLMs for the ABAP programming language: To aid developers in creating domain-specific language code, 疯拍传媒 plans to use NVIDIA AI foundry services to assist in fine-tuning LLMs. This will build on 疯拍传媒鈥檚 use of generative AI models to assist developers who use ABAP through the company鈥檚 ABAP Cloud model and 疯拍传媒 Cloud Application Programming model.

NVIDIA AI Enterprise Powers Production-Grade Generative AI Across Cloud Solutions from 疯拍传媒

Once models are ready for deployment in cloud solutions from 疯拍传媒, 疯拍传媒 plans to use NVIDIA AI Enterprise software, including NVIDIA NIM inference microservices and NVIDIA NeMo Retriever鈩� microservices. NVIDIA NIM can be used to accelerate and maximize inference performance across the accelerated infrastructure from 疯拍传媒. Using NVIDIA NeMo Retriever microservices, 疯拍传媒 plans to add RAG capabilities that enable generative AI applications to more securely access data running on 疯拍传媒 software to improve accuracy and insights. Customers can plan to use RAG on both 疯拍传媒 and third-party data.

To learn more about the 疯拍传媒 and NVIDIA partnership, .

Visit the 疯拍传媒 News Center. Follow 疯拍传媒 at.

About NVIDIA

Since its founding in 1993, (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company鈥檚 invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at.

About 疯拍传媒

疯拍传媒鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 疯拍传媒 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 疯拍传媒 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 26 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 疯拍传媒 helps the world run better and improve people鈥檚 lives. For more information, visit .

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NVIDIA: Shannon McPhee, +1 (310) 920-9642, smcphee@nvidia.com

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features, and availability of NVIDIA鈥檚 products and technologies, including NVIDIA鈥檚 generative AI foundry service, NVIDIA NIM microservices, NVIDIA DGX Cloud AI supercomputing, NVIDIA AI Enterprise software, and NVIDIA AI Foundation models, NVIDIA accelerated computing platforms, NVIDIA AI Enterprise data science software such as NVIDIA RAPIDS, RAPIDS cuDF and cuML, NVIDIA NeMo Retriever microservices; NVIDIA鈥檚 partnership with 疯拍传媒, the benefits and impact of such partnership, and the features and availability of its services and offerings; 疯拍传媒 sitting on a gold mine of enterprise data that can be transformed into custom generative AI agents to help customers automate their businesses; and NVIDIA and 疯拍传媒 bringing custom generative AI to the thousands of enterprises around the world that rely on 疯拍传媒 to power their operations are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 疯拍传媒鈥檚 2023 Annual Report on Form 20-F.

漏 2024 疯拍传媒 SE and NVIDIA Corporation. All rights reserved.

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Meanwhile, as legislation to bolster transparency in supply chains , the digital platforms through which trading partners carry out interconnected operational processes have become indispensable for managing risk, advancing sustainability objectives, and verifying adherence to ethical business practices 鈥� even as volatility in international commerce gathers pace.

After rebounding from several years of logjammed seaports, idled factories, and quarantined workers, many businesses find that though COVID-19 has receded, disruption stubbornly persists. Yet visibility across all aspects of the supply chain 鈥� from sourcing raw materials and managing logistics capacity to securing working capital solutions and managing dispersed physical assets 鈥� remains paramount in the quest to ensure business continuity, instill operational resilience, and deepen competitive advantage.

To help provide businesses with the 360-degree visibility and collaborative capabilities they require across complex trading relationships, 疯拍传媒 Business Network can connect people, processes, and systems across multiple enterprises to help digitize transactions, harness data-driven insights, and create transparent, resilient, and sustainable supply chains. Through , trading partners can gain process efficiencies, improve supply assurance, and achieve business process and regulatory compliance by increasing operational transparency. With , companies can achieve supply chain visibility by enabling plan-driven automation, optimizing capacity and inventory, and streamlining workflow. Aided by , shippers and carriers can work together in unison, track and trace goods in transit, and achieve transparency throughout the supply chain by optimizing logistics processes, increasing on-time deliveries, and mitigating third-party risk. Relying on , owners, operators, and service providers can strengthen joint processes and the flow of shared information through a single, consistent version of asset master data to help streamline asset maintenance processes and reduce maintenance costs. With the benefit of , trading partners can enhance payment security, free up working capital through early-payment discounts, and leverage access to capital bound up in outstanding receivables.

By linking together the routine business processes of trading partners, cloud-based networks establish the breadth of data necessary to apply predictive and generative AI applications to yield meaningful insights and outcomes. Through large language models and other forms of machine learning, cloud-based applications create new content with characteristics resembling that which precedes it. With every successive effort, sharpens its ability to tailor desired content.

As the world鈥檚 largest platform for business-to-business commerce, 疯拍传媒 Business Network can present an ideal setting for generative AI, in that it helps bring together an extremely large volume of trading partners across hundreds of millions of transactions representing US$5.3 trillion in commerce annually. Later this year, generative AI capabilities in 疯拍传媒 Business Network will be able to help detect errors and present automatic summaries when businesses create invoices. AI will also enable the network to help enrich catalog content and discovery posting responses for suppliers.

疯拍传媒 Business Network has accumulated significant structured content over many years to help generate broad operational insights for trading partners. When buyers, suppliers, carriers, and financing solution providers share operational data with each other in real time, the mutual value they create can be exponential rather than additive, enabling all participants in commerce to plan ahead with confidence, continuity, and enduring resilience.

For further information on 疯拍传媒 Business Network and how we are equipping enterprises large and small with the digital tools needed to counter disruption, visit .

J枚rn Keller is executive vice president and chief product officer of 疯拍传媒 Business Network.

While data may be the fuel powering the engine of AI, it鈥檚 good data that鈥檚 the real game changer. With good data, a company can automate processes — freeing up their people to do the most impactful work — and analyze the most important variables facing their business to create intelligent insights.

That鈥檚 where a datasphere comes in. It makes data more complete and logical by understanding the different relationships within a company鈥檚 data. And that鈥檚 what can truly bring out the best in any business today.

Having a central hub for data is more critical than ever. It allows our customers to better model their business across all 疯拍传媒 business applications. That鈥檚 exactly why we introduced 疯拍传媒 Datasphere last year to empower businesses with insights they need 鈥� based on the right data 鈥� in the context of their business. Since then, generative AI has disrupted and simplified even more business processes, and data capture is no different. This week we announced new generative-AI features in 疯拍传媒 Datasphere that will transform enterprise planning through simplified data landscapes and more-intuitive data interaction.

Why is this important? Because having a unified data view that simplifies the data landscapes while retaining context and logic is what enables businesses to adapt faster to market changes and make better decisions. It鈥檚 also a more efficient way of working. Because while you鈥檙e busy pulling data together, competitors are circling your customers.

I am constantly speaking with our customers about the value of 疯拍传媒 Datasphere. It鈥檚 a data architecture that harmonizes mission-critical data across an organization. I hear amazing outcomes they鈥檙e able to achieve: from PwC breaking down silos in the different countries where it stores sensitive data so its workforce can access it more efficiently and securely for customers, to the Lufthansa Group taking data from different parts of its operations like aircraft, HR, and procurement, to see how decisions from one could impact the other.听
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With our additional news this week, such as making our generative AI copilot Joule available in 疯拍传媒 Analytics Cloud and expanding our partnership with Collibra to help our customers meet compliance, privacy, and regulatory requirements related to AI as they evolve, we鈥檙e making it easier to find the right data and use it to drive deeper insights, more efficiencies, faster growth, and more trust in their business.

While PwC and Lufthansa show what鈥檚 possible today with a simplified data fabric, imagine what is about to become possible when you infuse it with the power of generative AI that understands your business 鈥� and then learns from that data. This has the potential to deliver exponential value from your data.

Or think of it this way: years ago, the biggest differentiators for businesses were price, location, products, and services. Today, and especially in the years ahead, it could very well be how effectively a business is training their AI models. That鈥檚 why building the right data fabric is one of the most important investments any business can make today.

It鈥檚 been said that the best way to predict the future is to invent it. And in an era where data is being created exponentially, I believe that those businesses that can separate the signal from the noise when it comes to their data will be the ones that invent the future in an AI-first world.

Scott Russell is a member of the Executive Board of 疯拍传媒 SE.

鈥淐apturing data to make better decisions is an enterprise technology imperative that鈥檚 become increasingly critical as AI 鈥� which relies on quality data 鈥� revolutionizes every aspect of business,鈥� said Juergen Mueller, 疯拍传媒 Chief Technology Officer and member of the Executive Board. “Our newest 疯拍传媒 Datasphere innovations, as well as an expanded partnership with Collibra, represent a quantum leap in our ability to help customers drive intelligent business transformations through data.鈥�

At the heart of these announcements is the business data fabric, an architecture that helps ensure data is not just an asset but also the core underpinning of strategic initiatives. The innovations and partnership announced today equip organizations to deliver meaningful data to data consumers 鈥� with business context and logic intact.

“We have decided to leverage 疯拍传媒 Datasphere for a modern business data fabric architecture in conjunction with our 疯拍传媒 S/4HANA landscape. It allows us to effectively establish a modern data analytics platform that enables a business self service capability on the basis of trusted data and data models,鈥� said Achim Welter, Senior Director ERP, Digital & IT Strategy, Hershey鈥檚.

Today鈥檚 疯拍传媒 Datasphere innovations help customers achieve a unified data view that simplifies their data landscapes while retaining context and logic 鈥� enabling them to adapt faster to market changes and make more-efficient decisions. From new copilot and vector database capabilities that help ensure business context remains constant in generative AI outputs to a new knowledge graph that helps uncover insights and patterns in complex data, 疯拍传媒鈥檚 data innovations help ensure customers have the full power of their data at their fingertips.

Today鈥檚 key innovations include:

Generative-AI Copilot and AI Governance

疯拍传媒鈥檚 generative-AI assistant, the copilot, is now coming to the 疯拍传媒 Analytics Cloud solution to automate the creation and development of reports, dashboards, plans and more. This automation is enabled by the 疯拍传媒 HANA Cloud vector engine capabilities, which combine the power of large language models with the relevant data of your organization 鈥� helping ensure business context is a constant for generative-AI outputs.

Incorporating generative AI across the business isn鈥檛 possible without trusted and governed data. To provide organizations with a solution to govern the policies, processes and practices of AI, 疯拍传媒 is announcing an expansion of our partnership with Collibra to integrate Collibra鈥檚 AI Governance with 疯拍传媒 data assets. This can help provide transparency and accountability for organizations and help ensure regulatory, compliance and privacy policies are met.

Discover Hidden Insights and Patterns with Knowledge Graph

With the new 疯拍传媒 Datasphere knowledge graph, organizations can discover hidden insights and patterns across their applications and systems. This enables both technical and business users to deeply understand the relationships between data, metadata and business processes, as well as boost the effectiveness of machine learning and large language models.

Unified and Advanced Planning and Analytics

The new 疯拍传媒 Datasphere integration with 疯拍传媒 Analytics Cloud offers a single data management system and advanced analytics to power cross-organizational planning. Planners can leverage a single flexible model to break down silos between planning using one tool for data preparation, modeling and planning.

Additionally, business users can use the new compass capability in 疯拍传媒 Analytics Cloud to realize better outcomes in planning and analytics through data-driven simulation. It enables organizations to run complex simulations using a chat interface to evaluate predictive outcomes and continually adjust controllable variables to find the optimal plan.

This supports customers to transform their planning by unifying financial, operational, supply chain and workforce planning with native connection to 疯拍传媒 applications and third-party data.

To learn more, please read: Unleashing the Latest 疯拍传媒 Data and Analytics Innovations.

Visit the 疯拍传媒 News Center. Follow 疯拍传媒 at .

About 疯拍传媒

疯拍传媒鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 疯拍传媒 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 疯拍传媒 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 26 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 疯拍传媒 helps the world run better and improve people鈥檚 lives. For more information, visit .

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 疯拍传媒鈥檚 2023 Annual Report on Form 20-F.
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疯拍传媒 and other 疯拍传媒 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 疯拍传媒 SE in Germany and other countries. Please see for additional trademark information and notices.
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Read on to learn more about these transformative announcements, which will enable businesses to unlock new potential in the areas of data management, AI-driven planning, and analytics.

Access Insights Wherever Your Data Resides

疯拍传媒 Datasphere Knowledge Graph

疯拍传媒 Datasphere knowledge graph will enable organizations to better represent their real-world use of data, leading to more effectively leveraging it for generative AI and better reasoning.

As data is onboarded, transformed, and integrated in 疯拍传媒 Datasphere, 疯拍传媒 Datasphere knowledge graph automatically creates an ontology representing the relationships in the data, including the inherent business context from 疯拍传媒 application sources like 疯拍传媒 S/4HANA. This is then available to be extended and augmented via an ontology editor to reflect specific attributes within an organization. Finally, the data in 疯拍传媒 Datasphere is automatically applied to this ontology to create a knowledge graph that allows the data to be processed as a semantic web of relationships, drawing new insights from connections that are otherwise difficult to follow.

These knowledge graphs are better suited for answering complex, often open-ended questions. For example, a marketing manager might ask a question like: 鈥淲hat type of campaign for mountain bikes works best for my highest performing cities with a population over 1 million?鈥�

Knowledge graphs can provide better context to large language models (LLMs) and prevent AI-generated 鈥渉allucinations.鈥� 疯拍传媒 Datasphere knowledge graph will enable organizations to unleash the power of AI for even the most complex queries.

The effort and cost of manually creating knowledge graphs is typically very high. 疯拍传媒 Datasphere knowledge graph overcomes this by pre-populating the knowledge graphs using all the valuable content already available in 疯拍传媒 Datasphere. The knowledge graph can then be used with Joule, 疯拍传媒鈥檚 generative AI co-pilot, allowing business users to ask both open-ended and specific questions and get instant and well-documented answers. Sign up for a preview of 疯拍传媒 Datasphere knowledge graph via the link below.

疯拍传媒 HANA Cloud Vector Engine

With the next release of 疯拍传媒 HANA Cloud, a vector capability will be added to existing multi-model capabilities, allowing customers to gain value from all relevant types of business data using a single database. The inclusion of a vector engine further enables customers to build that combine the natural intuition of human interaction with powerful machine learning and multi-model processing capabilities.

The vector engine in 疯拍传媒 HANA Cloud provides the ability to store and compare vectors using SQL. Determining similarity between vectors enables use cases such as retrieval-augmented generation (RAG), recommendations, classifications, clustering, and more. Key benefits of 疯拍传媒 HANA Cloud vector engine include:

• Simplify data architecture and security with a single multi-model database with SQL interaction
• Gain new insights by combining spatial, graph, JSON, and relational data with vector queries
• Easily incorporate vector use cases in solutions based on the HANA Cloud ecosystem (clients, Python libraries, CAP, etc.)
• Integrate with open-source community tools such as LangChain via plug-ins

疯拍传媒 HANA Cloud vector engine is currently in public preview and is planned for general availability in late Q1 2024.

Simplified Consumption of Data Products in 疯拍传媒 Datasphere

Data products facilitate self-service access to data as a product and enable data sharing across application boundaries. Data consumers need an easy way to explore, understand, and activate the data needed to perform their tasks 鈥� and data providers need an easy way to publish their assets and make them available to data consumers.

疯拍传媒 is innovating in this space with an improved user experience that drives data sharing at scale. This starts with published data products, whether produced by 疯拍传媒 line-of-business applications, industry solutions, or third parties, and follows with simple consumption in 疯拍传媒 Datasphere.

In 疯拍传媒 Datasphere, customers will find ready access to 疯拍传媒 and non-疯拍传媒 data products and easily install them into their 疯拍传媒 Datasphere instance. The procedure establishes relevant connections and creates the necessary artifacts in 疯拍传媒 Datasphere without the user having to enter those details. Key to this is making data provisioning easier via metadata, which are described via the Open Resource Directory (ORD) protocol. The experience will be harmonized within 疯拍传媒 Datasphere by bringing catalog and the data product installation closely together. Visit for the latest updates.

疯拍传媒 Datasphere Semantic Onboarding Enhancements

Semantic onboarding provides a seamless import of semantically rich objects from 疯拍传媒 S/4HANA and 疯拍传媒 BW/4HANA into 疯拍传媒 Datasphere. Now, we are taking the next step by adding support for 疯拍传媒 HANA Cloud and 疯拍传媒 data products through the same unified onboarding experience.

Customers will be able to combine their 疯拍传媒 HANA Cloud modeling approach with 疯拍传媒 Datasphere by importing calculation views into the data layer of 疯拍传媒 Datasphere. This preserves the semantic information such as measures, attributes, hierarchies, aggregations, and currencies/units, while keeping 疯拍传媒 HANA Cloud and 疯拍传媒 Datasphere objects in sync — allowing customers to leverage their prior investments in 疯拍传媒 HANA modeling.

Likewise, semantic onboarding of 疯拍传媒 data products will enable inheritance of business context from 疯拍传媒 line-of-business applications and industry solutions. By providing the semantics of the source systems and transferring that into the business data fabric as a foundation, 疯拍传媒 Datasphere drastically improves the analytic workflow and accelerates and simplifies data-driven insights.

Collibra AI Governance Integration with 疯拍传媒 Solutions

The 疯拍传媒 and Collibra partnership enables end-to-end data governance and delivers trusted data to all users across the business data fabric. As more tasks and decisions are automated by AI within critical business processes, the need to extend governance to AI has also become apparent.

The partnership with Collibra is being expanded to address the data and AI governance needs of joint customers via Collibra AI Governance. We will build tailored integrations between Collibra AI Governance and 疯拍传媒 solutions to connect the data used for AI with the models themselves in a single platform, allowing enterprises to track and manage their AI development efforts.

• Customers will better understand data lineage and metadata of 疯拍传媒 data that is utilized in AI modeling. With that, users can see what data their AI models were trained on to ensure that the data is accurate and from a trusted source.
• Customers will benefit from a single view to understand what AI models exist in their organization, and what data is being used to power them. AI/machine learning models created with 疯拍传媒 technology will be registered with the Collibra AI Governance platform.

This extension of the 疯拍传媒 partnership with Collibra will increase transparency and accountability for organizations, and help ensure that regulatory, compliance, and privacy policies are being met. More importantly, it will build user trust by preventing biased decision-making, inaccurate recommendations, and other risks arising from AI.

Together, 疯拍传媒 and Collibra will help joint customers address the data and AI governance needs across their organizations. Collibra AI Governance was and is available to interested customers.

疯拍传媒 Datasphere Confluent Integration

Core to the 疯拍传媒 data strategy is providing customers with the ability to interoperate with the world鈥檚 leading data and AI vendors through an open data ecosystem. To this end, the newly enhanced Confluent integration enables real-time streaming of data to and from 疯拍传媒 Datasphere.

First, the outbound capabilities were extended by taking advantage of Confluent鈥檚 proprietary schema registry capabilities. Second, the Confluent schema registry will be used to enable seamless consumption of Confluent data within 疯拍传媒 Datasphere.

The integration is specifically tailored to Confluent and provides a superior user experience for joint customers. It allows connections on the application level without additional custom application development. The integration is a pre-established replication flow in 疯拍传媒 Datasphere, which already includes delta and real-time processing natively. This makes the process very efficient as it does not force customers to load all the data at every step, but only when data has changed.

The first integration for data ingestion into Kafka and Confluent is generally available. Additional capabilities for Confluent specific outbound and inbound integration will be generally available at the end of Q1 and Q3, respectively.

Transform Planning with a Business Data Fabric

疯拍传媒 Analytics Cloud for Planning Deep Integration to 疯拍传媒 Datasphere

疯拍传媒 Datasphere and 疯拍传媒 Analytics Cloud for planning will be more closely integrated to expand the business data fabric to planning use cases. 疯拍传媒 Analytics Cloud planning models can be deployed into 疯拍传媒 Datasphere, bringing plan and actuals data together for real-time steering.

Through a reduction in both data footprint and modeling efforts, 疯拍传媒 Analytics Cloud extends planning functionality via 疯拍传媒 Datasphere and its native capabilities for transformation and integration. This reduces the complexity and risk inherent in storing multiple copies of data which is prevalent today.

疯拍传媒 Analytics Cloud for planning will have live access to actual and plan data for extended planning and analysis scenarios, including the live usage of master data. With this, 疯拍传媒 Datasphere will become the platform on which planning processes and tools can integrate.

疯拍传媒 is the only vendor to offer a business data fabric that seamlessly integrates planning and therefore covers the entire technology stack required to transform data into insights and future actions. Visit for the latest updates.

Foster Trusted AI Across Your Business

疯拍传媒 Analytics Cloud Generative AI Co-Pilot

疯拍传媒 customers will embrace the power of generative AI to create and simulate business plans in 疯拍传媒 Analytics Cloud. With the power of Joule, planning and analytics professionals can leverage generative AI capabilities in a wide range of business processes. Activities such as data discovery, dashboard creation, planning model maintenance, and more are benefitting from a boost in core capabilities and an unmatched user experience.

With the power of natural language processing, end users can easily run analytical queries, simulate driver impacts, plan resource allocations, and auto-generate dashboards and calculations. For example, a business user seeking to understand why gross margins declined in the latest version of a plan could query Joule, which could automatically look through previous plan iterations and attached comments, and uncover the fact that planners were estimating higher commodity costs.

疯拍传媒鈥檚 investment in AI and its understanding of the context of business data provides truly limitless potential in unleashing the world of planning and analytics.

A preview of Joule co-pilot functionality in 疯拍传媒 Analytics Cloud is planned to be available in Q2 2024. Sign up for the preview via the link below.

疯拍传媒 Analytics Cloud Compass

In an increasingly volatile business climate, it is essential to create operational and financial plans and provision BI insights with risk mitigation in mind. This requires the ability to simulate uncertainties and the probability of their impact. Knowing how uncertainties in commodity prices, labor costs, or production volumes will hit your operational expenses or revenue means that companies can quickly prepare and plan counter measures for any scenario.

疯拍传媒 Analytics Cloud compass provides Monte Carlo simulation capabilities with a business user-friendly interface. This enables non-technical users to perform real-time multi-variate analysis without prior IT setup or advanced statistical skills.

Users can perform business simulations directly in 疯拍传媒 Analytics Cloud at a fraction of the time and effort required to perform similar analysis manually. Scenario modeling capabilities will allow comparisons between assumptions, and the reporting of impact variances provides real-time insight, concept validation, and reveals the sensitivity of the drivers chosen. Now customers can identify their major drivers and combinations over time, enabling a better understanding of the dynamics between the data, and how to continuously simulate better and faster. With compass, customers can face the future with confidence.

A preview of 疯拍传媒 Analytics Cloud compass is planned to be available at the end of Q3 2024. Sign up for the preview via the link below.

Get Started Today

Begin your path toward unlocking the full potential of your business data with 疯拍传媒 Datasphere. Embrace the opportunity to seamlessly integrate and activate your data landscape, propelling your business into a new era of insights and efficiency. Start now and transform how your organization leverages data with 疯拍传媒 Datasphere.

Start your journey today to bring out your best with 疯拍传媒 data and AI:

•  with the 30-day guided experience.
• with a free assessment and special offers.
• with the Total Cost of Ownership study and getting started package
• of the upcoming 疯拍传媒 Datasphere and 疯拍传媒 Analytics Cloud features

Irfan Khan is chief product officer and president for 疯拍传媒 HANA Database & Analytics.

It鈥檚 never been easier to connect, unify, and manage 疯拍传媒 and third-party data. That鈥檚 why industry leaders such as Porsche, Hanes, and Bosch are using 疯拍传媒 Datasphere to enable self-service access to trusted business data across any cloud infrastructure.

Today, our mission continues at our virtual event. We鈥檙e taking another step forward to enable organizations to bring out their best with data and AI. 

Access Insights Wherever Your Data Resides

With many data landscapes distributed across different siloes in the cloud and on premises, organizations require an integrated approach that unifies their underlying data landscapes. This is made possible with 疯拍传媒 Datasphere, which enables a business data fabric architecture. By providing seamless and scalable access to all data without duplication, data and planning professionals can securely access all their data no matter where it resides.

In fact, organizations seeking to implement a business data fabric architecture can save up to 138% using 疯拍传媒 Datasphere compared to third-party implementations.

At 疯拍传媒, we understand that a critical capability in the era of AI is to understand the real-world use of business data. With decades of experience helping organizations run mission-critical business processes, we see firsthand the power business data has in determining optimal business performance.  

To make this possible, we鈥檙e excited to announce the 疯拍传媒 Datasphere knowledge graph. This capability enables organizations to discover hidden insights and patterns across their applications and systems. And it empowers both technical and business users to deeply understand the relationships between data, metadata, and business processes, as well as boost the effectiveness of machine learning and large language models (LLMs).  

Transform Planning with a Business Data Fabric

疯拍传媒 connects people and enterprise planning more powerfully than ever before. Now any organization can transform planning by unifying financial, operational, supply chain, and workforce planning through a business data fabric architecture.听听

The new 疯拍传媒 Datasphere integration with 疯拍传媒 Analytics Cloud offers a single data management system and advanced analytics to power cross-organizational planning. Planners can leverage a single flexible model to break down silos between planning with one tool for data preparation, modeling, planning, and analytics and to conduct thorough analysis, understand the broader context, and make more informed decisions. 

Additionally, business users can use the new 疯拍传媒 Analytics Cloud compass to realize better outcomes in planning and analytics using Monte Carlo simulation. This enables organizations to run complex simulations via a chat interface to predict possible outcomes and find the optimal plan. 

Foster Trusted AI Across Your Business

We鈥檙e bringing the power of generative AI to planning and analytics with 疯拍传媒 Analytics Cloud, which provides AI-generated data exploration, automation of planning and data management tasks, and deep analysis with Joule copilot. This is enabled by vector capabilities in 疯拍传媒 HANA Cloud that combine the powerful capabilities of LLMs with all the relevant data of your organization 鈥� ensuring business context is a constant for generative AI outputs.

Incorporating generative AI across an organization is not possible without trusted and governed data. To provide customers with a solution to effectively manage data and AI policies, processes, and life cycles, we are excited to announce the expansion of our partnership with Collibra. Beyond the integration between 疯拍传媒 Datasphere and Collibra announced last year, we will now work together to integrate Collibra鈥檚 AI Governance platform with 疯拍传媒 data and analytics solutions. 

Get Started Today 

Start your journey today to bring out your best with 疯拍传媒 data and AI:

• 鈥痺ith the 30-day guided experience 
• with a free assessment and special offers 
• with the Total Cost of Ownership study and getting started package

JG Chirapurath is chief marketing and solutions officer for 疯拍传媒 BTP.

That鈥檚 why we鈥檝e built our industry-leading suite of spend management solutions that span direct and indirect procurement, external workforce, and travel and expense management. These solutions help you gain visibility into your supply chains, procure what鈥檚 critical to get the job done, and protect your bottom line 鈥� whether you鈥檙e simplifying expense, travel, and accounts payable processes, or finding the right talent to ensure your company鈥檚 profitability.

With our core commitment to 疯拍传媒 Business AI, we are focused on applying generative AI technology to all categories of spend. Like my colleague says, we鈥檙e 鈥渄riving efficiency, quality, and insight into processes that cut across spend management.鈥� Here are we鈥檙e hard at work on.

Our spend management and business network solutions continue evolving and improving with time 鈥� and 2024 will be no different. But before I get ahead of myself, let鈥檚 reflect on the incredible last half of 2023, which has laid the foundation for all the amazing innovation to come in 2024.

Enhancing Your Control over Company Spend 

New enhancements to 疯拍传媒 Ariba solutions, 疯拍传媒 Concur solutions, and 疯拍传媒 Business Network can take spend management from the most mundane part of your day to the most strategic. Here are a few enhancements we announced late last year:

• Region-specific strategy and planning for category management: Different regions of the world require different procurement strategies. The ability to in 疯拍传媒 Ariba Category Management is now a reality. With its advanced analytics, AI-driven insights, and integrated frameworks and tools, users of 疯拍传媒 Ariba Category Management can reap the benefits of data-driven decision-making, identification of strategic sourcing opportunities, and mitigation of risks.
• The biggest Concur Travel release to date: As we continue rolling out the globally, the new end-to-end booking experience became available for customers whose travel management companies use the Sabre GDS from the U.S. point of sale for air, hotel, and car rental bookings. Congratulations to all our customers that made the strategic switch.
• Supplier catalogs within 疯拍传媒 Business Network: With the newly released , suppliers can upload a catalog that is publicly searchable and viewable by buyers on the network. With a network catalog, suppliers can maintain a single list of all the products they offer, creating high-quality buyers looking for the exact items listed. More improvements to the catalog and user demos are coming your way soon.

Customer Love

With Valentine’s Day coming up, it鈥檚 only right to brag about all the customer love we鈥檝e been receiving. Words of affirmation is our love language.

• 疯拍传媒 Fieldglass is the .
• 疯拍传媒 Ariba is the .
• 疯拍传媒 Concur is the in Expense, Travel & Expense, and Invoicing.

To top it off, , , and swept the 2023听鈥淏est Of鈥� Awards from TrustRadius! TrustRadius, the most trusted review site for business technology, also released more wins for our spend management solutions:

• is Top Rated in Workforce Management, Contractor Management, Freelance Management, and Vendor Management Systems (VMS).
• is Top Rated听in Procurement, Expense Management, and Supply Chain Management.
• is Top Rated in Expense Management, Travel Management, and Accounts Payable.

疯拍传媒 Recognized by IDC MarketScape

I am also thrilled to announce that 疯拍传媒 was positioned as a Leader in the听IDC MarketScape: Worldwide Multi-Enterprise Supply Chain Commerce Network 2023 Vendor Assessment.*

According to the assessment report, 鈥湻枧拇� Business Network is a comprehensive B2B collaboration platform that connects people, processes, and systems across multiple enterprises, digitizing transactions and creating transparent, resilient, and sustainable supply chains.鈥�

The report highlights these 疯拍传媒 strengths:

• Depth and breadth of product features, functionality, future road map covering all major B2B collaboration categories (indirect, direct material, MRO logistics, financial, services, sustainability), and scenarios in an end-user, persona-based manner
• Integration and extensibility capabilities including integration between 疯拍传媒 ERP, 疯拍传媒 procurement modules, and other applications (other ERP, SCAM, and customer applications) and technologies (machine learning, AI, blockchain) through 疯拍传媒 Business Technology Platform
• Global adoption and breadth of collaboration among the industry’s largest, highly adopted B2B collaboration platforms, enabling trading partners to collaborate in real time
• Ongoing efforts to harmonize commerce, asset intelligence, and logistics continue to enhance the power of the connected economy.

Thank you to our customers and my colleagues for collaborating on this fantastic win.

Customer Success Stories

Al Dahra, one of the world鈥檚 largest agribusiness logistics companies, manages food and animal feed supply chains from its home in the United Arab Emirates (UAE) to countries around the globe. to gain greater visibility into daily operations and as its digital solution to connect the company with its partners and clients.

Building material manufacturer Heidelberg Materials AG knew that visibility across its supplier base was key to enabling the smart decision-making that would help it improve financial performance while meeting sustainability goals. See how it achieved this by .

Watch how Chobani, America’s top Greek yogurt brand, uses to fully automate its expense processes.

BT Group aims to be the world鈥檚 most trusted connector of people, devices, and machines. Read how it to deliver a modernized, connected colleague experience.

Register for 疯拍传媒 Concur Fusion

If you鈥檙e lucky enough to attend this year, don鈥檛 miss my colleague Etosha Thurman, chief marketing & solutions officer for 疯拍传媒 Intelligent Spend and Business Network, presenting in the keynote. She will be demonstrating transformative AI in 疯拍传媒 Concur travel, expense, and invoicing solutions, and how we鈥檙e creating a world where travel and expenses can practically manage themselves.

Jeff Collier is chief revenue officer for 疯拍传媒 Intelligent Spend and Business Network.

*Source: 鈥�,” by Simon Ellis, December 2023, IDC #US49948423.

In my role at 疯拍传媒, I speak to business leaders all the time about the value that generative AI can add to their business in ways they might not even realize, and I hear countless stories about how it is already starting to do that. One of my favorite examples is one that 疯拍传媒 announced last week in an arena that is near and dear to me: finding and developing the next generation of star athletes.

As someone who used to play and coach basketball in Australia, I have had a lifelong appreciation of coaching but also of听scouting talent. Scouting is a discipline where art truly meets science, where experience and intuition are strengthened by the objective reality revealed by data.

While professional scouting has been around for a very long time, as more data on players becomes available, more teams are using it as听a competitive advantage. But that鈥檚 not as easy as it sounds. While the sophistication of scouting reports is impressive, the process of creating and using them effectively has never been efficient. When you consider how many potential young star athletes there are in the world, you can see how this would create an enormous amount of scouting reports to go through in a short period of time. The problem gets even more daunting when you consider that they are written in different languages and in different writing styles.听

In short, it鈥檚听exactly the kind of challenge that generative AI for business is built to solve.

For proof of that, just look at the German professional soccer clubs FC Bayern Munich and Hertha BSC. For a long time, both clubs have employed talent scouts who travel the world watching matches and collecting reams of data about players in the hope of finding the next great star before any of their competitors do.

But to show how this could be done better, 疯拍传媒 collaborated with FC Bayern Munich and Hertha BSC on a prototype. It uses generative AI to create automated summaries and recommendations of the reports created by their different scouts in different parts of the world and makes them available to club executives simply by asking for them in their natural language.

For example, imagine a German-speaking manager of the club being able ask for a key summary in 100 words or less of a scouting report on a young player who was scouted in Argentina and written in Spanish. That same manager can also ask it to compare two players based on their just their defensive skills or听endurance. While translation apps听can听translate听an听entire report from Spanish to German,听it takes a large language model (LLM) to create these summaries and competitive analyses on demand using natural language commands — essentially just the information that club executives really need to make informed decisions fast.

This is exactly what the prototype allowed these clubs to do. It听took听a time-consuming task and automated it in an intelligent way to make it useful. As a result, we will soon be rolling out this capability as part of our sports management suite, , which has already been helping athletes and teams get better results in their sport while also creating better experiences for their fans since 2015.

Why should business leaders care about better scouting reports? Two reasons: first, because they face many of the same challenges in their own business, needing to harness the power of their data quickly on demand for competitive advantage. And second, because generative AI is not just a specific solution for a specific problem.听Its true magic is that it is also scalable across an entire enterprise to address other business needs, from financing and supply chain management to procurement, travel, trainings, and more. For example, when generative AI is combined with 疯拍传媒 Business Technology Platform (疯拍传媒 BTP), businesses have the ability to write code, keeping their core clean and building generative AI extensions to further scale impact.

There is simply no doubt that data is the playbook of champions in sports. But it is also creating a new playbook of value in business. And with the era of generative AI for business only just beginning, I cannot wait to see what other amazing innovations will move from imagination to reality — and all of the value that they will create.

Scott Russell is a member of the Executive Board of 疯拍传媒 SE.

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鈥淎I has the potential to disrupt your entire business model,鈥� according to CEO and Member of the Executive Board of 疯拍传媒 SE Christian Klein.

Organizations don鈥檛 just buy new generative AI tools, they implement new technology that can completely change how everything gets done. Generative AI can help people work faster and more efficiently, but building effective teams will require leaders to prioritize trust, humility, and honesty. Leaders will also have to better evaluate what types of technology to implement and who to hire. Communication about AI will be critical to helping workers understand the technology and its opportunities.

Tune in as Klein and experts from Deloitte, Stanford University, and BCG explore how this powerful tool will transform business.

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鈥淭he wonderful thing about this generation of AI is that it is accessible,鈥� 疯拍传媒鈥檚 Julia White said. 鈥淵ou don鈥檛 need to be a deep technologist to interact with it…and benefit from it.鈥�

White joins experts from Deloitte, BCG, and StartSteps Digital Education to discuss society鈥檚 scramble to get the right people into new jobs. This involves reskilling, upskilling, and redeploying workers as well as necessary skills like critical thinking and communications 鈥� not to mention a shift in thinking to accept this new and often intimidating technology.

Tune in to hear more from White, Deloitte’s Lara Abrash, BCG’s Judith Wallenstein, and StartSteps’ Mozamel Aman.

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鈥淚t鈥檚 a duet and not a duel,鈥� according to 疯拍传媒鈥檚 Thomas Saueressig, noting that people and artificial intelligence (AI) can accomplish amazing feats when they work in concert.

Experts from McKinsey & Company and Stanford University join Saueressig and Juergen Mueller during the World Economic Forum in Davos to explore what AI really is 鈥� and how we can use it responsibly to empower humanity.

Tune in to hear more from them, McKinsey’s Kate Smaje and Stanford University Professor James Landay.

Today, we鈥檙e at a revolutionary moment of similar proportions. Generative artificial intelligence (AI) has gone from niche technology to a topic of global discussion within little more than a year. It has happened at a critical moment, with the world facing multiple geopolitical, economic, and climate crises.

While these challenges urgently require our attention, global human, environmental, and financial resources are already stretched. Generative AI, however, offers hope that we can address all these competing priorities simultaneously. In other words, we鈥檒l be able to achieve more with less.

Accelerating Change

The enormous potential of generative AI is widely acknowledged, yet there is one key area where its impact for good has yet to be fully realized. If we apply generative AI to how we run business — as a tool to transform companies, supply chains, and entire industries — we鈥檒l accelerate the evolution of our world economy into one that is more sustainable, resilient, equitable, and prosperous.

Generative AI for business can, for example, help find better and faster solutions to the questions millions of organizations around the world face today. For example:

• What steps do I need to take to make my company carbon neutral?
• How can I improve the availability of critical supplies?
• What can I do to make my business more productive and competitive?
• How do we skill and reskill our workforce to meet the challenges of today and tomorrow?

Relying on the recommendations provided by generative AI for such critical matters, however, requires the underlying technology to be extremely trustworthy — much more so than in the consumer application space.

Building Trust in AI

Trustworthy means, first, that generative AI for business has to be relevant. AI can only be as good as the data it is trained on, and the generic data used for today鈥檚 most famous large language models (LLMs) will not help companies address their very granular problems. To provide context-specific proposals, relevant AI for business must train and work with real-life enterprise data.

Second, generative AI for business has to be reliable. The stakes in business can be very high: single decisions can affect thousands of customers, colleagues, and the company鈥檚 long-term future. That鈥檚 why business AI outputs must be provided with the greatest accuracy and quality. And, while AI 鈥渉allucinations鈥� may be entertaining in the consumer world, they鈥檙e a no-go in business.

Third, generative AI for business has to be responsible. There is an ongoing discussion about how AI models trained on and working with public Internet data may infringe on privacy and copyright regulations. In the business world, this kind of 鈥済ray zone鈥� mode of operation is unthinkable.

For businesses to trust generative AI, they need to be sure their data is handled safely and confidentially. They need to be sure that generative AI tools respect and observe data privacy, data ownership, and data access restrictions by their very design, and that they operate only in areas where explicit consent has been given.

These three 鈥淩鈥漵 — relevance, reliability, responsibility — are the cornerstones of trustworthy AI for the business world. They are also key to building trust in technology as a tool to tackle the biggest challenges of our time.

A Once-in-a-Generation Opportunity

As a global software company, 疯拍传媒 has made relevant, reliable, and responsible AI a top strategic priority, training and working with real-life business data based on the explicit consent of thousands of customers. By design, it follows the access and privacy settings already built into 疯拍传媒 databases and software.

The 听is ensured by clear guiding principles, internal governance structures, and an advisory panel of external experts. Most importantly, 疯拍传媒 is pushing the quality of generative AI results to be not just 鈥済ood enough,鈥� but to have the integrity and quality customers expect when they make consequential business decisions.

I believe there is also a once-in-a-generation opportunity on a larger scale: nations and regions that pioneer trustworthy AI for business will see a much faster and broader adoption of generative AI across companies and industries. They will reap the benefits of greater competitiveness, resilience, and sustainability. And they will contribute immensely to a better running world — much like the World Wide Web did three decades ago.

Christian Klein is CEO and a member of the Executive Board of 疯拍传媒 SE.

.

• Firstly, technological progress, as improved AI architectures and available data have enabled models to perform impressively.
• Secondly, an economic effect as successful platforms of the past, such as the Internet and the cloud, experienced breakthroughs when marginal costs approached zero. That was the birth of platform innovation. In the case of the Internet, for example, the cost of distributing increasing amounts of content approached zero. When it comes to content creation, we are also seeing the same thing now with generative AI. Therefore, AI is not just hype, but an innovation platform.
• Thirdly, we are witnessing a growing social acceptance. Generative AI was brought into the consciousness of the general public as millions of users suddenly gained access, seemingly overnight, to language models like ChatGPT and tried them out for themselves.

AI is powerful, but not all-powerful. Artificial intelligence are big words. Smart neural networks and models excite us because they are designed to mimic human patterns as closely as possible. They can offer solutions for certain types of problems. What they can’t do is find a solution to a previously unsolved problem and compete with the inexhaustible creativity and empathy of humans.

Recently, I was asked to name an example when AI really 鈥榳owed鈥� me. For me, it was the moment I read that ChatGPT had passed the medical exam in the U.S. My wife is a doctor, so I’m somewhat familiar with medicine and everyday hospital life. Will AI replace humans here? No. Will technology like AI improve the lives of healthcare workers and thus patients? I believe so. AI creates space for professionals where they are most needed.

AI is changing everything. Are we just going along with this change or are we boldly leading the way? We are at a crucial point where generative AI will also significantly change business processes in companies. considers AI to be a productivity booster and predicts worldwide increases in the trillions. This is urgently needed if we look at demographic trends and the growing shortage of skilled workers. Provided that companies use AI consistently, this much is certain: AI will revolutionize the way we work and live.

AI will shape our country. The question is whether we see it as a threatening competitor or a helpful companion. It is up to us to decide whether these significant changes will provide a boost to innovation in Germany and Europe. Germany, and indeed each of us, must adapt to change in order to remain globally competitive. It is important to recognize and minimize the risks, but also to see the opportunities as chances.

So, what do we need to do in order to seize this opportunity for Germany? 

Use Strengths and Competitive Advantages

According to an , systems with generative AI capabilities can contribute to approximately 鈧�330 billion of future value creation in the German economy. We would be able to gain a competitive advantage if AI is value-oriented, transparent, and explainable. A suitable legal framework with high ethical standards promotes the ability to innovate; over-regulation would have the opposite effect. We should not categorically classify generative AI as high-risk, but rather leave room for innovation.

We are moving in the right direction with the EU AI Act鈥檚 risk-based approach. And when the various regulations on AI and data protection interact, we are on the right track. Because there can be no compromises in the use of AI when it comes to business-critical processes and decisions.

Therefore, at 疯拍传媒, we see it as our duty to deliver responsible, reliable, and business-relevant AI results. That is why we are looking at how to best utilize the various models to provide value to customers. The models behave very differently. We see ourselves as a driving force in terms of enterprise AI. However, we do not rely solely on our own expertise, but collaborate with research institutions and leading providers of generative AI.

Our credo is: AI is a natural part of our software and intuitively integrated into processes and applications. Why? Because for us, it鈥檚 not about writing a poem with AI, but about using AI in a specific business context based on real-time data — and, when necessary, to support business-critical decisions.

To make this possible, we are working on our own foundation model, which is trained on the data of thousands of customers that have consented to the use of their data. AI models trained on publicly available data do not have this valuable context. Therefore, while they may pass a medical exam because the knowledge is available on the Internet, they will not be able to answer complex questions in the context of a company. Because AI is only as good as the data it relies on. This includes filtering out biased data or queries.

Promote a Climate of Innovation and Openness to Technology

Currently, are developed in the U.S. and 15% in China. This is also due to the willingness to invest. The fact that the German government will is a positive signal, but it is not enough. The private sector also needs to invest significantly more across all industries. Additionally, the “can do” mentality is more pronounced elsewhere. Of the 1,300 worldwide, only 36 are in Germany. Our AI research is among the best; however, the insights rarely lead to companies being created.

We do not lack knowledge in Germany, we lack the will to implement it. And according to the , there is also a lack of computing power and a supercomputing infrastructure for AI.

We should also strengthen small and midsize enterprises (SMEs). As the backbone of the German economy, SMEs must receive the necessary support — including from the public sector — to drive AI forward. According to a , 15% of all companies are already using AI. But this is not yet the urgently needed boost to AI innovation. At least 68% understand the importance of AI and consider AI to be the most important future technology, but too few are taking action.

This clearly shows that most people are looking into AI. But for many companies, AI is not yet an issue. This gap needs to be closed so that in the future not just a minority but a majority of companies use AI. We must act instead of hesitating!

Culturally Embedding a Readiness for Change and Lifelong Learning

听Innovation starts in the mind. Every company wants employees who think like entrepreneurs. Those who don’t want to wait for something coming from other corners of the world. But for that, we need to overcome our reservations towards new technologies. Fears are blocking our view of opportunities and companies have a duty to act now. Transparency is the most important means to alleviate employees’ concerns about automation and AI.

AI will not make humans redundant, but it will change our existing professions. Well-trained professionals are and will remain indispensable, and AI can help to counteract the shortage of skilled workers to some extent. Not only the technologies themselves, but above all the responsible handling of data must be an integral part of school education. Similarly, companies should integrate AI into their company’s further education.

But what is particularly important is that for most professionals, it is not about understanding AI in every detail. There are experts for that, just as there are experts who design complex manufacturing machines. It is about developing the skills of the future: critical thinking and the ability to assess information and above all, empathy. Putting oneself in other people’s position is the core competency of the future! These are skills that make humans unique.

Therefore, I do not see AI as an apocalypse, but rather as one of our best chances for renewal and progress. Because the interaction between humans and machines is not a duel, but a duet.

Thomas Saueressig is a member of the Executive Board of 疯拍传媒 SE.