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:
Scott Malinowski, 疯拍传媒, +1 (781) 852-3822, scott.malinowski@sap.com
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�

And that鈥檚 just the surface. We are still learning just how far reaching the implications could be in the workplace.

As we explore this new realm and AI鈥檚 vast potential, 疯拍传媒 has adjusted its strategy with the goal of becoming not only the leading enterprise application provider but also the No. 1 business AI company. The foundation is now available with 疯拍传媒 Business AI that offers 疯拍传媒 customers a reliable, relevant, and responsible AI solution portfolio.

A key element of that strategy is leveraging 疯拍传媒 partners鈥� expertise. The trusted relationships our partners have developed with our joint customers are essential to communicating the value of AI solutions from 疯拍传媒 and finding the best 疯拍传媒 products to meet their business objectives. It also poses a great opportunity for partners to expand their business.

But first, let鈥檚 take a step back and explore why 疯拍传媒 is best positioned to deliver on the business AI opportunity.

疯拍传媒鈥檚 AI Advantage

Deep Business Process Knowledge
Before AI can make operations faster, data-driven, and more effective, organizations must optimize business processes. 疯拍传媒 brings a deep understanding of business processes to AI applications, enabling solutions that orchestrate workflows, data sharing, and automation for the greatest efficiency and productivity.

疯拍传媒 Data
AI solutions require data to train their algorithms to provide accurate, relevant, real-world outputs. 疯拍传媒 can draw on business data from thousands of customer systems across the value chain, helping to address our customers’ challenges and drive their digital transformation.

Focus on Application Creation
疯拍传媒 is partnering with technology providers to make the most of the AI opportunity by creating value with new applications. For example, large language models (LLMs) will become solution differentiators. LLMs perform a range of natural language processing tasks. Combining LLMs with AI solutions automates insight delivery, freeing users from the need to wait for help from their IT or data science departments. It allows companies to focus on data insights, rather than devoting focus to the technology that produces them.

Strong Partner Ecosystem
疯拍传媒 recognizes that it cannot reach the full addressable market alone. That is why our more than 25,500 partner ecosystem is a huge advantage when offering business AI solutions. Working together, we can drive innovation, accelerate AI road maps, and expand AI capabilities beyond its own limitations.

I cannot underscore enough how important that fourth component is to our AI strategy. It is a linchpin to our success. That鈥檚 why we must ensure we are creating win-win scenarios for our partners that benefit us both for the long term.

Partner Opportunities

While AI offers a range of benefits to 疯拍传媒 customers, it also represents a significant business opportunity for 疯拍传媒 partners. As a part of the 疯拍传媒 ecosystem, partners can provide advanced functionality out of the box with embedded AI capabilities within 疯拍传媒 applications. They must also take advantage of the virtually endless opportunities that AI offers regardless of the chosen 疯拍传媒 partner business model:

• Sell: Partners that resell 疯拍传媒 solutions can leverage the embedded AI portfolio from 疯拍传媒 to accelerate RISE with 疯拍传媒 and GROW with 疯拍传媒 deals. Sell partners can also enhance the appeal of the cloud with AI capabilities exclusive to 疯拍传媒 cloud solutions and enlarge deals with AI units from 疯拍传媒 required for premium AI capabilities.
• Service: Service partners can drive adoption of 疯拍传媒鈥檚 AI portfolio and custom AI capabilities built on 疯拍传媒 by bundling them with services and support. This approach enables customers to gain value through customized generative AI use cases built on the foundation of 疯拍传媒 Business Technology Platform (疯拍传媒 BTP), including the generative AI hub, and accelerate their cloud migrations and business transformation, backed by partners鈥� expertise.
• Innovate: Partners also have the opportunity to develop innovative AI solutions and extensions to enhance the 疯拍传媒 portfolio. Partners can build customer-specific and repeatable use cases with AI services from 疯拍传媒 on 疯拍传媒 BTP and augment customer business processes.

Take the Next Step

Ready to expand your partnership with 疯拍传媒 to build on the AI opportunity? and visit . If you鈥檙e not currently an 疯拍传媒 partner, there鈥檚 never been a better time to explore the benefits of becoming a part of the 疯拍传媒 ecosystem.

If you鈥檙e ready to start your 疯拍传媒 partnership journey and provide businesses in your market with reliable, effective AI solutions, .

Karl Fahrbach is chief partner officer at 疯拍传媒.

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.

Click the button below to load the content from YouTube.

Always allow YouTube

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.

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�

Click the button below to load the content from YouTube.

Always allow YouTube

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� 

“Businesses today are confronted with challenges ranging from supply chain disruptions and labor shortages to geopolitical uncertainties,鈥� said Muhammad Alam, member of the Executive Board of 疯拍传媒 SE, 疯拍传媒 Product Engineering. 鈥湻枧拇� recognizes the imperative for agility and intelligence, driving innovation with AI-powered solutions to streamline supply chain and manufacturing processes. Companies can enhance operational efficiency and improve supply chain resiliency while delighting customers with superior service, paving the way for sustained growth and market competitiveness.鈥�

Accurate and relevant real-time information helps mitigate the impact that supply-chain disruptions have on suppliers, manufacturers and distributors worldwide. SMA Solar Technology AG and other customers have already witnessed the benefits of 疯拍传媒鈥檚 solutions, including an approximately 15% increase in supply chain workforce productivity, a 10% decrease in overall supply chain planning costs and a 10% reduction in inventory carrying costs and stock turnover rate.

鈥淪MA Solar modernizes its manufacturing execution systems to support sustainable, risk-resilient manufacturing operations with the power of AI-enabled visual inspection in the 疯拍传媒 Digital Manufacturing solution,鈥� said Heiko Kehm, SMA Solar head of IT Order to Cash.

Sixty-three percent of supply chain executives and 52% of operations executives have an AI strategy linked to business objectives, according to 鈥�,鈥� a global 2024 IDC InfoBrief sponsored by 疯拍传媒*. Fifty-one percent of the 2,000 survey respondents are embedding AI into supply chain planning business processes and key applications for real-time decision-making. Another 58% are using AI to increase operational efficiency and employee productivity.

to 疯拍传媒鈥檚 supply chain solutions to support customers鈥� AI-centric strategy include:

• Optimizing decisions across the supply chain with AI-driven insights: Companies can now leverage higher volumes of machine data and integrate AI-driven visual inspection by computer into their production processes, enabling a remarkable increase in quality through automation.
• Streamlining product development: Product developers can now use 疯拍传媒鈥檚 AI copilot Joule to gather and enhance new product ideas quickly and effectively using natural language queries. Joule also helps tag product designs with business data, so they visually contextualize business-critical information.
• Detecting equipment anomalies: Using AI, asset operators can proactively address potential breakdowns based on sensor data collected from smart devices and edge gateways. This new capacity utilizes the cutting-edge Cumulocity IoT platform from Software AG, which is planned to be embedded in the 疯拍传媒 Asset Performance Management application in Q3.
• Improving field response: Customers can optimize driving routes and allocate job assignments efficiently with integrated real-time traffic data and machine-learning-trained models, which enable the right field service technicians to reach their destinations on time.

Find more details about the innovations 疯拍传媒 will show at Hannover Messe .

Visit the . Follow 疯拍传媒 at .

*IDC InfoBrief, sponsored by 疯拍传媒, The Importance of AI in Supply Chain and Operations, document #US52042224, April 2024.

About 疯拍传媒

As a global leader in enterprise applications and business AI, 疯拍传媒 (NYSE: 疯拍传媒) stands at the nexus of business and technology. For over 50 years, organizations have trusted 疯拍传媒 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit .

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:
Dana Roesiger, +49 6227 7 63900, dana.roesiger@sap.com, CET
Julie Schneider, +1 (650) 687-2788, julie.schneider@sap.com, PT
疯拍传媒 疯拍传媒 Room; press@sap.com

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�

For decades, our partners have leveraged their industry expertise and technological know-how to bring immense value to companies of all sizes. They possess a rare fusion of deep industry insights and technological expertise, which they leverage to guide businesses through the delicate process of modernization while ensuring that the essence of their identity remains intact.

We recently how they鈥檙e helping customers take better advantage of their organization鈥檚 data. Our partners have observed a significant shift in the way data is perceived and utilized. It’s no longer just a byproduct of business operations but a core asset that, when effectively distributed and made accessible, can revolutionize customer experiences and enable a more strategic, company-wide approach to decision-making.

Click the button below to load the content from YouTube.

Always allow YouTube

However, the mere availability of data is not a panacea. The crux of the matter is transforming data into actionable insights. This is where our partners excel, mapping out advanced use cases and facilitating the transition to cutting-edge platforms like 疯拍传媒 Datasphere and 疯拍传媒 Analytics Cloud. These solutions can empower organizations to evolve into entities where data is not just present but central to every action and decision.

The practical implications of data are vast and deeply rooted in the operational successes of our clients. AI, for instance, is a frontier rich with potential, but its success is inextricably linked to the quality and accessibility of data. Recognizing this, 疯拍传媒 partners are investing in building AI capabilities that can not only propel new business functions but also deliver substantial value.

Another key area of focus for our partners is the concept of a business data fabric, which is critical in developing a flexible enterprise architecture. Such an architecture allows for co-innovation and customization of solutions, ensuring that data is not just an afterthought but a driving force in business operations.

The journey toward a data- and AI-centric business model is an ongoing one, marked by evolving needs, emerging challenges, and a relentless pursuit of innovation. The ultimate aim is to convert potential into lasting business success.

The essence of our relationship with our partners is rooted in a shared vision. We are united in our pursuit of discovery, innovation, and improvement as we navigate the future together. Be sure to with our seven strategic partners and discover how the can help your company become a data-driven organization.

Karl Fahrbach is chief partner officer at 疯拍传媒.

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
疯拍传媒 疯拍传媒 Room; press@sap.com

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.

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.

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 .

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 further information, contact:
疯拍传媒: Scott Malinowski, +1 (617) 538-6297, scott.malinowski@sap.com
疯拍传媒 疯拍传媒 Room; press@sap.com
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.

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.

NVIDIA, the NVIDIA logo, DGX, NVIDIA NeMo Retriever, NVIDIA NIM, and RAPIDS are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

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.

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
听
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.

These government funds are typically managed by a traditional provider who establishes a plan within the customer鈥檚 budget and assigns caregivers. They offer limited to no choice regarding providers and little transparency on how the funds are being spent. This inefficient and costly approach reduces available funds for actual care with limited and often unfamiliar providers.

Enter HomeMade, a startup looking to disrupt the home care sector with a transformative solution that would empower customers to not only stay in their own homes but also to oversee their spending and self-select their providers. With an initial staff of only six, HomeMade set out to create a technology platform that would deliver efficiency, flexibility, transparency, and ease of use for customers and a scalable model that would grow and evolve with the company.

A Rock-Solid Technology Foundation for a Digitally Native Startup

Technology is at the heart of HomeMade鈥檚 business model, so choosing the right technology partner and the right digital platform was essential. 鈥淲e wanted a solution that would give us that ability to scale rapidly and with confidence knowing that the rails weren’t going to fall off, because to be digitally enabled is what makes us different,鈥� , HomeMade general manager, said.

HomeMade found the perfect partner in Bourne Digital, part of Accenture, which steered the startup to (疯拍传媒 BTP). In choosing the platform, HomeMade benefits from a locally hosted, high-performance cloud architecture that can scale across its network. As a React Native open-source Cloud Foundry runtime service, the HomeMade application is intuitive, user-friendly, and easy for the company to maintain and support long term. Add 疯拍传媒 Integration Suite and 疯拍传媒 HANA data storage into the mix and HomeMade emerged with a secure, integrated, and scalable technology foundation to offer efficient care and support to Australia鈥檚 at-home care population.

Young Company Makes an Outsize Impact

In just two years, HomeMade has grown its business to 2,500 customers and reduced new user onboarding time from 14 days to 48 hours. The company has empowered qualifying citizens to manage their budgets and choose their care while saving 14 million Australian dollars and counting.

Customers and families rave about the solution’s functionality and ease of use. HomeMade鈥檚 team members, who have grown to over 100, can happily focus on the customer instead of the endless paperwork they might find in traditional care management. Service providers appreciate timely payment, and another critical stakeholder 鈥� the Australian government 鈥� conducted a regulatory compliance audit and found that HomeMade scored 100% across 42 requirements for the Age Care Quality Safety Standards.

And this is only the beginning for a new company already making an appreciable impact. 鈥淎s the needs of HomeMade grow and evolve, the platform will grow and evolve with HomeMade,鈥� , managing director of Bourne Digital, part of Accenture, explained. For example, Ahmed continued, 鈥淲e leverage AI business services to read documents…and we’re feeling really confident that those AI services will continue to play a part in the future evolution of HomeMade as the company moves more and more towards automation and self-service.鈥�

Adding Value Through Innovation

An 疯拍传媒 Innovation Award winner in 2023, HomeMade continues to grow and think creatively about how its foundational 疯拍传媒 BTP-based technology can enable it to continue to innovate and add value for customers. 鈥淭here are endless opportunities,鈥� Westhorpe said, from increasing efficiency to leveraging data to identify falls or other incidents to using large language models to recognize clinical deterioration in users and launch preventative interventions.

For other startups looking to build technology solutions that will make a dramatic impact, Westhorpe offered to consider, “You want to build everything and you’ve got all these grand ideas, but what are the biggest things that will add value for customers?鈥� Ahmed adds that resilience, a strong partnership, and hard work are critical: 鈥淎dapt, learn, grow together, and accept feedback鈥o build something innovative, you must be prepared to roll up your sleeves.鈥�

The Full Episode

Special thanks to , a hub for fostering human-centered innovation, for collaborating on this on 疯拍传媒 Business Technology Platform episode. Learn more about how HomeMade built a better solution for qualifying citizens:

• Thought leadership podcast: Thulium’s CEO sat down with Westhorpe and Ahmed to discuss the change in caring for older adults, home-based care, and how technology can deliver on a promise dedicated to purpose.
• Practitioners鈥� video: Westhorpe, Ahmed, and I discussed the challenges and opportunities in creating a world-class digital solution for a small but rapidly scaling startup.

Explore more success stories of customers leveraging 疯拍传媒 BTP to help optimize processes for the sake of people and purpose:

• : This nonprofit provider of wide-ranging social services chose听疯拍传媒 BTP听and 疯拍传媒 HANA Cloud to enable extensive solution integrations, helping deliver better data connectivity and operational efficiency.
• : Administratively supporting over 1,700 dental practices, Heartland Dental leverages 疯拍传媒 BTP to help improve the business assistant’s user experience, increase productivity, and reduce turnover.

For the full episode and the on-demand Better Together: Customer Conversations series, visit .

Timo Elliott is vice president and a global innovation advocate for 疯拍传媒 BTP.

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 .

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:
Julia Fargel, +1 (650) 276-8964, julia.fargel@sap.com, PT
Martin Gwisdalla, +49 (6227) 767 275, martin.gwisdalla@sap.com, CET
疯拍传媒 疯拍传媒 Room; press@sap.com

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.

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.

We believe this prestigious recognition is a testament to our current capabilities, ongoing innovation, and commitment to providing world-class integration solutions for customers.

Unparalleled Recognition in iPaaS

The Gartner Magic Quadrant provides an overview of the technology vendors in the iPaaS market and positions them according to their Ability to Execute and Completeness of Vision. According to Gartner, 鈥淟eaders have a deep understanding of the iPaaS market. They have a record of strong execution and an ability to influence the market鈥檚 direction. Leaders have a clear product road map to solidify the product鈥檚 position and to help buyers protect their investments. In , 疯拍传媒 is positioned as a Leader again.鈥�

The ability for an organization to connect and automate its business applications faster and in new ways is critical in today鈥檚 digital world. 疯拍传媒 customers are seeking a robust integration solution to support their innovation and modernization initiatives. We believe this recognition serves as validation of our commitment to delivering industry-leading solutions that can empower businesses to seamlessly connect their applications, data, and processes.

A Winning Combination of Technology and Expertise

疯拍传媒鈥檚 vision for 疯拍传媒 Integration Suite is to connect and automate business processes. As the key integration technology of , 疯拍传媒 Integration Suite can empower customers to achieve seamless, scalable business processes without disruption. Its user-friendly interface, extensive library of proven prebuilt content for 疯拍传媒 and non-疯拍传媒 applications, and robust security features help make it easy for customers to jump-start their integrations.

Organizations across the globe have embraced 疯拍传媒 Integration Suite to help support automation of business processes, streamline operations, and strengthen their collaboration with partners and customers. Take for example. It wanted a solution to support its transformation from selling stand-alone products to offering holistic solutions that orchestrate physical delivery, installation, and support while minimizing the need for customization and providing growth for the company.

鈥淯sing 疯拍传媒 Integration Suite, part of 疯拍传媒 BTP, to integrate 疯拍传媒 S/4HANA Cloud Public Edition with 疯拍传媒 Sales Cloud and third-party providers, we鈥檙e simplifying and standardizing business processes, increasing agility, and supporting our growth ambitions in select countries.鈥�

Stuart Beadle, Senior Director, Global Order Management, Supply Chain Applications and 疯拍传媒 Service, Pitney Bowes Inc.

Customer experience is one of the criteria evaluated by Gartner in the report for the ability to execute. According to the report, 鈥淩elationships, products, and services/programs that enable clients to be successful with the products are evaluated. Specifically, this includes the ways customers receive technical support or account support. This can also include ancillary tools, customer support programs (and the quality thereof), availability of user groups, service-level agreements, and so on.”

See to read the reviews.

Learn More

疯拍传媒 Integration Suite can accelerate innovation, speed connectivity, and connect everyone to automated processes. We remain steadfast in providing powerful and reliable integration solutions. To learn more:

• Explore exclusive iPaaS content on
• with 疯拍传媒 Integration Suite
• Learn more about

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

Gartner, Magic Quadrant for Integration Platform as a Service 19 February 2024, Keith Guttridge Et Al.
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

Like other industrial nations, Japan has been facing massive demographic challenges in its agriculture sector. An aging population and a lack of younger individuals entering the sector to replace them have led to farms being abandoned and fields lying fallow.

Japan鈥檚 government has realized the demographical issue, of course, as it touches not only the agricultural sector. To revitalize rural areas and stem the rural exodus, the government launched a national action plan.

In alignment with this action plan, 疯拍传媒 Japan has joined the effort of encouraging rural communities to thrive by launching a co-innovation project with PSI, an 疯拍传媒 partner, and the local government of the town of Minano.

Digitizing the Agricultural Sector

The small town of Minano is located in the hills of Saitama Prefecture, about two hours from Tokyo. While the south of this prefecture is largely a suburb of the Tokyo area, the west, approaching Mt. Fuji, is still very rural and thinly populated. A former center of silk industry, the region on average is sunny and warm but can get lots of snow in winter.

鈥淔arms in this area are traditionally small and dispersed, located between forests and mountains,鈥� says Yoshihisa Horiguchi, chairman of MINNANO Future Create. 鈥淏ig supermarkets and retailers overlook them. Nowadays, the farmers cultivate rice and vegetables in small amounts to consume themselves, sell to their neighbors, or send to their children or grandchildren that live in cities.鈥�

Since 1950, Minano has lost roughly one-third of its population, largely due to the decline of the agricultural sector. Today, it counts about 10,000 inhabitants.

鈥淵oung people often migrate to urban areas for better education and employment opportunities,鈥� Horiguchi explains. 鈥淲here 50 years ago, a farm may have relied on 20 young workers, now only two elderly workers are left.鈥�

Digitization is one obvious approach that may help prevent those areas from depopulating completely.

鈥淏ut while large-scale farms benefit from the economic feasibility of applying robotics and the like, it is financially and logistically challenging to apply such technologies to small-scale dispersed farms,鈥� Horiguchi says.

Horiguchi, the owner of an automotive parts manufacturing company, co-founded the local initiative MINNANO Future Create in 2019 to solve the challenges resulting from population loss. Its members range from elderly individuals to young residents, forming a diverse group of individuals, including pharmacists, architectural designers, and other professions, all living in the town.

For one of its projects, the Minano Digital Eco Farm, it partnered with 疯拍传媒 Co-Innovation Lab.

IoT Solution for Monitoring Agriculture

The Minano Digital Eco Farm project aims to build a communication platform that connects farmers and urban residents as well as small-scale dispersed farms to major supply chains, forming a portfolio that coexists with existing large-scale farms. In alignment with the United Nations’ Sustainable Development Goals (SDGs), the project will help overcome supply chain disruptions due to food shortages and crop failures due to abnormal weather, conflicts, disasters, and more.

For this vision to become a reality, Internet of Things (IoT) sensors were distributed in various locations and managed remotely from headquarters.

鈥淭he idea was to have an IoT solution running on 疯拍传媒 Business Technology Platform (疯拍传媒 BTP) that would help monitor all the agricultural processes,鈥� says Atsushi Minakuchi, senior solution specialist at 疯拍传媒 Co-Innovation Lab in Japan.

疯拍传媒 Co-Innovation Lab partnered with PSI, which brought in the Digital Material Controller (DMC), an all-in-one compact edge controlling server that enables easy setup of a ubiquitous IoT environment. And, due to the cooperation with 疯拍传媒 Co-Innovation Lab, the DMC has also obtained 疯拍传媒 certification.

鈥淢any IoT sensors lack cybersecurity functions,鈥� Mitsuhiro Yamazaki, senior advisor and former president of PSI, says. 鈥淗owever, by connecting sensors to a DMC with cybersecurity capabilities, it becomes possible to securely store locally collected data on the DMC, safely transmit to 疯拍传媒 BTP, and accumulate, analyze, and utilize data from the DMC. This enables seamless and easy integration between the 疯拍传媒 core system and the IoT system.鈥�

鈥淐ollaboration with 疯拍传媒 Co-Innovation Lab has significantly expanded the application possibilities of DMC,鈥� Masaki Fukui, former PSI Cyber Security Lab director and now with the Ministry of Internal Affairs and Communication, says. 鈥淕lobal users of 疯拍传媒 now could have the opportunity to easily implement and utilize a ubiquitous supply chain platform through the combination of DMC and 疯拍传媒 BTP.鈥�

Through integration with 疯拍传媒 BTP, the deployment locations can then be displayed and monitored on a dashboard.

The idea is for citizens living in the city to enter a service contract with a rural farm or supplier and to connect via a technology platform to remotely monitor and support agricultural processes. In return, they receive part of the crops 鈥� freshly delivered to their homes in the city.

So far, two proofs of concept for farms have been completed between March 2019 and November 2022, as well as one proof of concept for a miso factory. Agriculture and rural industry are only two fields of application. Future projects could include schools, hospitals, stores, and elder care facilities.

Strengthening Rural Appeal for Inland Tourism

As a corporate social responsibility project, the Minano Digital Eco Farm came to life through the voluntary engagement of 疯拍传媒 employees in Japan who supported the project on top of their regular work.

The project is supported by a government program unique for Japan, the so-called hometown tax payment, which makes it possible for citizens to choose and support the region they were born and raised in or a community they wish to engage with.

鈥淭he possibility of hometown tax payment is very popular among Japanese people,鈥� Hidenori Kurosawa, vice governor of Minano, explains. 鈥淭o us in rural regions, it seems that this played a significant role in creating an interest in the countryside. People want to get to know and support local towns.鈥�

Indeed, the appeal of small, thinly populated communities surrounded by beautiful forest landscape hasn鈥檛 gone unnoticed by Japanese inland tourists.

Kurosawa says: 鈥淲e wish to make Minano appealing to visitors by offering return gifts that provide an experience 鈥� that allow visitors to come to the town, interact with the locals, and experience things that are unique to this place.鈥�

The Minano Digital Eco Farm project aligns well with this strategy. Not only does it promote Minano’s charm but, by expanding initiatives, it addresses local challenges such as reclamation of abandoned farmland, increased self-sufficiency in food, reduction of CO2 emissions, and improved profitability in agriculture.

鈥淲e have great expectations that this initiative will contribute to addressing the town’s challenges and advancing the UN SDGs,鈥� Kurosawa states. 鈥淲e express our sincere gratitude to the volunteers from 疯拍传媒 Japan who provided invaluable assistance in bringing the Minano Digital Eco Farm project to life.鈥�

鈥淢INNANO鈥� means 鈥渇or everyone鈥� in Japanese and is pronounced the same way as the name of the town. Fukui from the Ministry of Internal Affairs and Communication explains the idea behind that name: 鈥淥ne action can have multiple meaningful impacts. The issue of unseen small-scale dispersed farms facing economic challenges can be witnessed around the globe. By collaborating with 疯拍传媒, we hope to inspire rural communities beyond our own prefecture, maybe even beyond Japan.鈥�

The new unit oversees the entire value chain for 疯拍传媒 Business AI, from product development and research through to customer implementation. In this new role, effective January 2024, Herzig reports directly to CEO Christian Klein.

Herzig鈥檚 team will collaborate with innovators across 疯拍传媒 to infuse artificial intelligence into every part of the company鈥檚 portfolio. With this new setup, 疯拍传媒 aims to further accelerate the pace at which customers can benefit from groundbreaking business AI solutions and services. The newly established division also underscores the central importance of business AI as a strategic driver for 疯拍传媒鈥檚 ongoing growth.

Herzig鈥檚 team consists of strong leaders, including Walter Sun, who continues to lead all product engineering efforts on business AI, as the global head of AI. Sun moved from Microsoft to 疯拍传媒 in September 2023.

“疯拍传媒鈥檚 increased focus on business AI marks the start of a completely new generation of enterprise innovation, and I鈥檓 honored to have the chance to help customers make the most of this unprecedented opportunity,” said Philipp Herzig, CAIO at 疯拍传媒. 鈥淚 look forward to working with our team, as well as our ecosystem of customers and partners, to drive the development and delivery of relevant, reliable, responsible business AI that fundamentally changes the way business runs.”

Visit the . Follow 疯拍传媒 at .

Media Contacts:
Hilmar Schepp, +49 6227 7-46799, hilmar.schepp@sap.com, CET
Alex Vaught, +1 (206) 678-5712, alex.vaught@sap.com, PST
疯拍传媒 疯拍传媒 Room; press@sap.com

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 2022 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.

provides a unified, intelligent work experience for the modern workforce.

2024 IDC MarketScape: Experience-Centric Intelligent Digital Workspaces Recognition

疯拍传媒 has been recognized as a Major Player in the IDC MarketScape: Worldwide Experience-Centric Intelligent Digital Workspaces 2024 Vendor Assessment (doc # US49741923, January 2024), based on IDC analysts and customer feedback. We believe this recognition acknowledges 疯拍传媒鈥檚 ongoing dedication in delivering a modern, robust digital workplace solution to optimize user engagement and productivity, and to drive overall business agility.

IDC defines an intelligent digital workspace as a well-organized system of tools working together to enhance end users鈥� overall productivity and experiences. This system integrates intentional design, engineering, and artificial intelligence (AI) to provide a customized and seamless view of tools for user tasks. It ensures secure access to resources from any location or device and enables IT and security professionals with complete oversight.

As stated within this IDC MarketScape report, 鈥淐lient organizations we interviewed noted that 疯拍传媒 Build Work Zone reinforced the importance of collaboration and knowledge management.鈥�

Here are the additional highlights on strengths of 疯拍传媒 Build Work Zone noted in the report:

• A unified digital workspace: 疯拍传媒 Build Work Zone supports building blocks of content, user interface (UI) integration cards, and home page widgets to embed and display 疯拍传媒 or third-party business data in one workspace. Guided experiences sit on top of workflows to guide the user journey.
• Streamlined user tasks: 疯拍传媒 Task Center is used within 疯拍传媒 Build Work Zone to act as a unified inbox to provide one place for all approvals and to dos. Global announcements can be tracked for reads and to check length of time spent on content items with native 疯拍传媒 analytics, or with third-party tools such as Google Analytics or Qualtrics. Customers have noted that 疯拍传媒 Build Work Zone provided a friendly UI and access to all functionality on the mobile app.
• Seamless connection to a comprehensive product suite: 疯拍传媒 Build Work Zone is used to connect the 疯拍传媒 suite of capabilities — including 疯拍传媒 S/4 HANA, 疯拍传媒 Success Factors, and 疯拍传媒 Integrated Business Planning solutions — to handle workflow and collaboration of tasks across multiple IT and business users. 疯拍传媒 Build Work Zone offers pre-built workspace templates with public, private, or external access and an impersonation feature to preview workspaces in-context of specific audience segments.

Evolving the Digital Workplace with 疯拍传媒 Build Work Zone  

Unify Experiences Enterprise-Wide

Business users gain centralized access to 疯拍传媒 and non-疯拍传媒 business applications, processes, and information, including custom-built apps and extensions, from desktop to mobile using 疯拍传媒 Build Work Zone. The solution offers a personalized, role-based user experience, for example, allowing business users to quickly search for applications or information they need, promptly manage tasks and notifications through the integrated inbox, and stay updated on content, apps, workflows, and processes that are seamlessly integrated across the business landscape without constantly switching around applications or leaving their desktops.

Build Workspaces Simpler and Faster with Low-Code

Business users are empowered to build and customize business sites visually. They can build branded sites, pages, and workspaces for different purposes and complexity. Our pre-built line-of-business content — including home pages, workspaces, integrations, and guided experiences — dramatically accelerates their time-to-value. For example, HR users can create pages for benefits announcements and design workspaces for learning academies. With the flexibility to design a tailored digital experience, business users can organize their work intuitively by bringing together their favorite business applications and unstructured content side-by-side, within a unified environment.

UI integration cards is a powerful widget to visualize data from back-end systems, allowing business users to quickly gain business insights into, for example, purchasing trends, account receivable overview, or compliance checklist. In addition, guided experiences streamline complex, difficult processes that span multiple systems, transforming them into simple, fast, and error-free experiences. This empowers business users to self-service their way through cross-application processes such as onboarding, returning to work, or submitting parental leave requests with ease and confidence.

疯拍传媒 Build Work Zone is part of that enables the people closest to the business problems to create and augment enterprise applications, automation processes, and design workspaces and business sites visually.

Optimize Team Effectiveness Within and Beyond the Enterprise

疯拍传媒 Build Work Zone is also designed to amplify team effectiveness across internal employees, external customers, partners, and suppliers. Business users can visually create workspaces to facilitate better team engagement through knowledge sharing, streamlined business processes execution, content management, and implementing best practices. They can also leverage surveys, polls, and interactive Q&A sessions to gather valuable feedback, improving communication and work synergy.

Many 疯拍传媒 Build Work Zone customers have created purpose-built business sites to actively engage with their external customers, partners, and suppliers. For example, a supplier business site is created for suppliers to self-service various business operations, including supplier onboarding, accessing policies, managing account payables and invoicing processes, and obtaining product knowledge along with Q&As. By empowering suppliers to address their requirements and needs, not only enhances their engagement and efficiency but also saves internal teams鈥� time for more impactful, high-value activities. 听

Unlock the Future of Digital Workplaces

Like many customers and partners, chose 疯拍传媒 Build Work Zone and 疯拍传媒 Business Technology Platform (疯拍传媒 BTP) to improve more than 5,000 business assistant鈥檚 user experience and productivity across more than 1,700 dental practices within the national dental network. Since its initial rollout in 2023, it has been reported that 33 hours per day have been saved across the initial 200 supported offices.

Looking ahead, 疯拍传媒 remains dedicated to delivering the best-in-class innovations to our customers to enable their business success, such as injecting business AI capabilities by enabling 疯拍传媒 Joule as the digital assistant for intelligent interactions within 疯拍传媒 Build Work Zone.

Learn More

• Read a complimentary excerpt copy of the
• Join the

Sid Misra is vice president for Product Marketing and Solution Management at 疯拍传媒.

About IDC MarketScape Experience-Centric Intelligent Digital Workspaces
This IDC research explores the intelligent digital workspace environment, offering further insights on the pace of adoption, the potential success of technology, and the level of market excitement. This aims to empower IT and business decision-makers to evaluate investments based on their own judgments.

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.

疯拍传媒 Datasphere can offer that path. Its native connectivity to 疯拍传媒 BW means customers can reuse up to 80% of existing 疯拍传媒 BW content, retaining value while adding cloud speed, scale, and interoperability and avoiding costly and unnecessary rework. 

Delivering meaningful data to every data professional requires a comprehensive cloud data service. With 疯拍传媒 Datasphere, organizations can:  

• Access authoritative data, accelerating time-to-value by automatically reusing the semantical definitions and associations from 疯拍传媒 applications.  
• Enrich all data projects, harmonizing heterogeneous data into a business semantic model of their diverse data landscapes.   
• Simplify the data landscape, accessing all their data across hybrid and cloud environments no matter where it resides.听

疯拍传媒 has also partnered with an open data ecosystem of leading technology vendors to provide tailored integration between 疯拍传媒 Datasphere and their solutions. The first set of industry-leading data and AI vendors includes Collibra, Confluent, Databricks, DataRobot, and Google Cloud. By closely integrating their data and AI platforms with 疯拍传媒 Datasphere, organizations can access their mission-critical business data across any cloud infrastructure. 

Flexible Paths to the Cloud  

Many 疯拍传媒 BW users have always-on projects that depend on 疯拍传媒 BW data and objects, which requires flexibility in modernizing to the cloud.  

疯拍传媒 offers flexible paths. Whether you’re moving directly or integrating 疯拍传媒 Datasphere as part of your data landscape to enhance your 疯拍传媒 BW deployment, there’s a strategy:  

• Gradually transition functionality over time using to reuse and integrate 疯拍传媒 BW objects.听
• Leverage 疯拍传媒 BW data ingestion and staging to accelerate the move or, for 疯拍传媒 Business Suite customers without 疯拍传媒 BW, move directly to 疯拍传媒 Datasphere.听
• In some cases, migrate 疯拍传媒 BW systems to 疯拍传媒 Datasphere for a complete transition. 
• Modernize with a combination of 疯拍传媒 Datasphere and 疯拍传媒 HANA Cloud to benefit from the capabilities of both solutions. 疯拍传媒 Datasphere can provide the foundation for a business data fabric, while 疯拍传媒 HANA Cloud enables the development of intelligent data applications.   

The goal is to provide options to fit each customer’s unique environment and timeline. With the right approach, the move to 疯拍传媒 Datasphere can be straightforward while optimizing previous investments.听

Our experienced 疯拍传媒 partners understand the importance of flexible paths. They work with our customers to outline customized modernization paths that can safeguard their technology and fit their goals.

鈥淲e are excited to help 疯拍传媒 BW customers experience the power of 疯拍传媒 Datasphere. We鈥檝e already seen multiple customers take this modernization approach and it鈥檚 the ideal modernization path to protect the customer鈥檚 existing 疯拍传媒 BW investments.鈥�

Deepu Sasidharan, Vice President, Analytics, Applexus

No matter which path a customer takes, they can always progress to 疯拍传媒 Datasphere. Technically, this can be achieved with the support of 疯拍传媒 Datasphere, 疯拍传媒 BW bridge and modernization tools. That鈥檚 why customers like chose 疯拍传媒 Datasphere.

鈥湻枧拇� Datasphere, 疯拍传媒 BW bridge is a complete game changer. The cloud architecture allows us to simplify our landscape. We are also seeing significant improvements in our performance.鈥�

Iaroslav Korzh, 疯拍传媒 Technology Manager, Nipro Europe Group Companies 

New Professional Readiness Assessment 

Whether you鈥檙e starting fresh or modernizing an existing system, having a solid plan is key for a successful move to the cloud. 

疯拍传媒 is now offering a limited-time, complimentary 疯拍传媒 BW system assessment to help you optimize your transition to 疯拍传媒 Datasphere. Through this assessment, you can gain insight into your 疯拍传媒 BW environment and learn which objects are active and frequently used and whether they can be migrated.  

This assessment helps deliver a reliable basis for an actionable modernization plan. With the right information, you can modernize on your terms. Get started today by applying for your complimentary . 

Get Started  

Visit our for the latest modernization tools, including our , , and .听

疯拍传媒 BW customers moving to 疯拍传媒 Datasphere may also qualify for exclusive incentives. Contact your 疯拍传媒 representative before this limited-time opportunity expires. 

Daniel Yu is senior vice president of Solution Management and Product Marketing for 疯拍传媒 Data and Analytics.

Click the button below to load the content from YouTube.

Always allow YouTube

Eighty-five percent of Ugandans are involved in agriculture.

Nassozi Berna and her husband were subsistence farmers growing cassaba, banana, and some coffee and living in a small, timber-framed house on Kalangala, an island in Uganda鈥檚 Lake Victoria. Like many other farmer on Uganda’s Kalangala Island, Berna started growing oil palm in 2012 and joined KOPGT, the Kalangala Oil Palm Growers Trust. KOPGT, which educates farmers on improved agricultural practices, recognized the need for a digital solution to meet the rising demand for palm oil. In 2017, it discovered 疯拍传媒 Rural Sourcing Management, a cloud-based solution running on 疯拍传媒 Business Technology Platform (疯拍传媒 BTP) that allows the trust to digitally collect and manage data at every stage of the value chain.

This technology has enhanced price transparency and accelerated payment for the farmers. Now, with the integration of听 疯拍传媒 Analytics Cloud and 疯拍传媒 Business One, KOPGT can streamline operations and save valuable time, ultimately focusing on what matters most: the community they have helped build.

This year, we鈥檙e offering three unique and convenient event experiences so customers and partners can build skills and meet 1:1 with 疯拍传媒 experts.

疯拍传媒 TechEd Virtual

Held October 8-9, 2024, the free two-day virtual event will deliver 疯拍传媒 technology news and announcements via global keynotes, technical and developer enablement, and engaging sessions of live and pre-recorded content for everyone across the globe. 听

疯拍传媒 TechEd On Tour

Taking place on multiple dates throughout the year, the single-day in-person events hosted across the globe by 疯拍传媒 experts and the 疯拍传媒 Community will deliver deep learning, networking, and hands-on engagement. Locations will range in North America, Europe, the Middle East and Africa (EMEA), Latin America and the Caribbean (LAC), and Asian-Pacific and Japan (APJ) regions.听听

ASUG Tech Connect, in partnership with 疯拍传媒 TechEd, West Palm Beach, Florida

From November 12-14, 2024, the major three-day event stopover on the 疯拍传媒 TechEd program tour will deliver visionary keynotes, technical education and enablement, expert-led sessions, and a full-scale show floor community experience with networking, best practices, and hands-on engagement.听听

I can鈥檛 wait to see everyone at an 疯拍传媒 TechEd event in 2024! 

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

In 2009, I helped launch the first cloud-based email service for business. Until then, every company had a server room and a team of IT professionals running their corporate email systems. When we started talking with companies about moving to cloud-based email, IT professionals gave a dozen reasons why they could never make the switch — it wasn鈥檛 secure enough, lacked the performance they required, or couldn鈥檛 meet their functional needs.

In time, we came to realize these were not true technical limitations. The real reason they didn鈥檛 want to shift to the cloud was not the tech but concern about the impact on their jobs, the relevance of their roles, and their professional identity. With this realization, we focused on ensuring these dedicated IT professionals had opportunities to retrain and upskill in cloud technology.

The cloud has been a massively transformative technology, yet its impact will pale compared to AI’s on people, jobs, and society. Businesses such as 疯拍传媒, NGOs, and intergovernmental organizations all have important roles to play to ensure the benefits of AI extend to everyone and that no one is left behind.

It Begins with Trust

Trust in technology is crucial. If AI is used nefariously, doesn鈥檛 give reliable results, or perpetuates biases, large segments of the population will not trust the technology enough to use or benefit from it.

For our part, 疯拍传媒 Business AI solutions are built with the highest concern for security, privacy, compliance, and ethics. We require our internal AI Ethics Steering Committee to review every AI use case in consultation with an external AI Ethics Advisory Panel of cross-disciplinary experts.

We also have a comprehensive framework for mitigating risk in AI. This includes ensuring no use case crosses our pre-defined red lines, such as perpetuating discrimination or abuse. Our AI capabilities, for example, help ensure the use of inclusive language in job descriptions and interview questions, and we provide our听听for everyone to access.

Bridging the AI Skills Gap

With generative AI, the pace of innovation is faster than any other technology change I鈥檝e experienced. Tech workers, like those in my opening story, could be left behind without an intentional focus on education and training.

Companies like ours are releasing new training and tools to close the skills gap. Last year, 疯拍传媒 announced an ambitious goal to upskill 2 million professionals by 2025. And we’ve seen 1.5 million new learners taking advantage of , meaning we’re on track to exceed our goals easily. But we’re not going to stop. The need and the opportunity are too great.

We have also made it easy for developers to find and use AI tools by launching . This one-stop shop provides ready-to-use AI services and tools to accelerate the development of generative AI-infused applications in a secure and trusted way.

AI Benefits Must Accrue Equally Worldwide

In January 2023, the World Economic Forum  that the division in AI between the Global North and South was deepening. Education and career opportunities must extend beyond the tech sector and be accessible to under-represented populations.

Take the continent of Africa, which is set to have more young people entering the workforce by 2035 than the rest of the world combined, where supporting education and career opportunities will result in better technological advancements and reduced inequalities. The听疯拍传媒 Educate to Employ program, launched alongside UNICEF and Generation Unlimited, seeks to create pathways to technical jobs for underserved young people in countries such as Nigeria, South Africa, and Kenya.

Momentum continues to grow. This year, 疯拍传媒, as part of the World Economic Forum鈥檚 , joins together with Microsoft, EY, and others to support a new working group focused on AI for Social Innovation. Together, we are mobilizing resources to address the use of AI to positively impact issues such as human rights and climate action.

There is no question AI will radically change the way we live and work. We all have the power to shape this transformative technology so it operates responsibly and benefits everyone.

Julia White is chief marketing and solutions officer and a member of the Executive Board of 疯拍传媒 SE.

.

This vision is underpinned by concrete plans that will help turn it into a reality. That鈥檚 why Corvias recently began modernizing its business processes for the future. Together with , the company embarked on a journey that led to the adoption of 疯拍传媒 S/4HANA Cloud, private edition and 疯拍传媒 Business Technology Platform (疯拍传媒 BTP).

A Vision for Optimization

Before choosing 疯拍传媒, Corvias was grappling with a complex organizational structure, one characterized by disconnected systems and processes across accounting and purchasing. The allocation process was cumbersome and required redundant updates in multiple parts of the system, causing administrative headaches.

Executive leadership quickly identified the need to simplify workflows so that they could deliver information to the right stakeholders effectively and quickly and create an integrated system that could move data seamlessly between processes without human intervention.

Choosing 疯拍传媒 for Success

To help overcome its challenges, Corvias selected two primary 疯拍传媒 solutions: and . With them, Corvias hoped to primarily centralize its data, enabling integrated purchasing and accounting capabilities. The implementation also leveraged 疯拍传媒 Fiori to help develop customized applications for allocating segment costs.

Today, Corvias鈥� processes are simplified and streamlined, thanks to real-time, actionable information accessible by key members of leadership through 疯拍传媒. This allows them to be more strategic in their decision-making with greater visibility into real costs and profitability at both the individual and project levels, contributing to a more efficient financial management system for the company overall.

Far-Reaching Benefits

The adoption of 疯拍传媒 has empowered the company to concentrate on enhancing its working capital through ongoing improvements. This has fostered a culture of innovation and encouraged a proactive approach to operational challenges and enhancements within the organization.

In accounts payable, for instance, the implementation of automated purchase order management processes has resulted in a notable decrease in touch points. The accounts payable team has seen a reduction from seven to two touch points in 75% of cases. This not only enhances efficiency but reduces the likelihood that errors will occur as often as they would with manual processes. The streamlined purchase-order management system has become a valuable asset in optimizing the company’s financial workflow.

Corvias has also embraced a more unified and secure information management system. By standardizing data security roles throughout the entire organization, 疯拍传媒 provided a reliable and protected method for managing information. This consistency has made it easier for site teams to handle administrative tasks, freeing up their time to focus on more strategic initiatives.

Best of all, these 疯拍传媒 solutions provided a flexible and scalable platform that allows Corvias to seamlessly incorporate acquired or new companies.

Looking Ahead to the Future

Corvias鈥� journey with 疯拍传媒 and Avvale showcases the transformative power of streamlined systems and integrated solutions. By addressing the challenges of a complex organizational structure and disparate workflows, Corvias not only achieved operational efficiency but also laid the groundwork for future scalability. The collaboration with Avvale unlocked expert guidance and support throughout the process, highlighting the importance of strategic partnerships in navigating the evolving landscape of technology integration.

Today, as Corvias continues to oversee diverse projects in partnership with the military, higher education institutions, and communities, the adoption of 疯拍传媒 stands as a testament to the company’s commitment to innovation and excellence across all its mission-critical endeavors.

Mike Kaszuk is SVP and COO for Midmarket at 疯拍传媒.

At 疯拍传媒, our commitment extends beyond traditional financial planning and analysis (FP&A), reaching across the entire enterprise of financial professionals. To achieve a comprehensive FP&A transformation, organizations need effortless access to crucial finance data, regardless of its location. In a landscape where financial information is dispersed across various applications, files, and systems 鈥� both on premise and in the cloud 鈥� organizations often expend significant resources on extracting, rebuilding, and integrating their financial data to deliver forecasts and simulations.

By harnessing cutting-edge FP&A software tools and adopting strategic approaches, organizations can seamlessly explore, connect, integrate, govern, and orchestrate their planning and analysis. 疯拍传媒’s solutions for financial planning and analysis can provide a reliable foundation for finance information, delivering trustworthy, pertinent, and timely financial insights. This can streamline finance data, helping to maximize business information potential. Simultaneously, it can foster an analytics-driven approach to planning and decision-making. Our primary solution for financial planning and analysis is . This solution is part of (疯拍传媒 BTP).

Gartner evaluated 16 vendors and named 疯拍传媒 a Leader based on our 鈥渁bility to execute鈥� and 鈥渃ompleteness of vision.鈥� We believe this recognition serves as an acknowledgment of 疯拍传媒鈥檚 continued commitment to providing our customers with world-class financial planning software.

Future-Proof Your Organization with 疯拍传媒 Solutions for xP&A

Our focus on accelerating planning and analysis (xP&A) is achieved by integrating with 疯拍传媒 S/4HANA Cloud and other 疯拍传媒 applications. This integration helps enable swift planning cycles, providing live access to actuals and plans. Customers can use our solutions to help extend their planning and analysis across the enterprise to facilitate seamlessly connected financial, workforce, sales, and supply chain plans. By adopting this approach, 疯拍传媒 customers can react quickly to changes and increase decision-making agility and performance no matter what events unfold.听

A pivotal aspect of our approach involves harnessing the power of artificial intelligence (AI) and machine learning for everyday planning. With a single click, our users can activate predictive analytics, allowing for insights with greater ease and speed. The AI capabilities within 疯拍传媒 Analytics Cloud are helping organizations unlock the full potential of their data and derive greater value from analytics and planning. With these capabilities, planners can model a wide range of scenarios and generate more accurate forecasts and plans. 

We are committed to instilling unwavering confidence in plans by meticulously ensuring the trustworthiness of data. Leveraging the powerful combination of and 疯拍传媒 Analytics Cloud, we go beyond traditional boundaries to help harmonize planning data seamlessly across 疯拍传媒 and third-party sources, presenting natively integrated plans that can form a reliable foundation for strategic decision-making.

This approach has yielded tangible benefits for organizations such as and . These 疯拍传媒 Analytics Cloud customers have experienced firsthand the transformative impact of having their planning data seamlessly integrated, resulting in enhanced precision and efficacy in their planning and analysis endeavors. With our holistic approach, we help pave the way for you to navigate the complex landscape of financial planning with confidence, working to ensure your business decisions are backed by a foundation of accurate and planning-ready data.

Next Steps

疯拍传媒 is dedicated to advancing financial planning and analysis through our suite of financial planning software tools. Our commitment is reflected in the seamless transformation of financial data into actionable insights at scale for our customers. If you’re poised to unlock the full potential of your financial data and elevate your FP&A capabilities, explore the next steps with the resources provided:

• Visit our
• Try the free
• Read the full, complimentary report

Dan Yu is senior vice president of 疯拍传媒 Business Technology Platform.

Gartner, Magic Quadrant for Financial Planning Software, Regina Crowder, Matthew Mowrey, Vaughan Archer, 5 December 2023
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

Top image courtesy of 疯拍传媒 employee Laurentia-Iulia Pavel.

To achieve true digital transformation, organizations must have seamless access to their mission-critical business data no matter where it resides. Yet with data landscapes distributed among different applications and systems both in the cloud and on premises, organizations spend countless resources extracting, rebuilding, and integrating their data.

By leveraging the right data integration tools and strategies, organizations can easily discover, connect, integrate, govern, and orchestrate their data assets. Data integration offerings from 疯拍传媒 deliver trusted, relevant, and timely information to enable customers to simplify their data landscape and unleash the power of business data. Our primary solutions include , Cloud, , and . These offerings are part of (疯拍传媒 BTP).

Gartner evaluated 21 vendors and named 疯拍传媒 a Leader based on our 鈥渁bility to execute鈥� and 鈥渃ompleteness of vision.鈥� We believe this recognition serves as acknowledgment of 疯拍传媒鈥檚 continued commitment to providing our customers with world-class data integration tools.

Unleash the Power of Business Data

Data integration is necessary for customers to gain intelligent, relevant, and contextual insights for better decision-making. However, without the right data management approach and technology, companies can face an uphill battle in integrating, processing, curating, governing, and augmenting their data.

疯拍传媒 takes a business data fabric approach, which goes beyond a traditional data fabric. A business data fabric is a data management architecture that delivers an integrated, semantically rich data layer over underlying data landscapes to provide users with scalable access to their data without duplication.

It eliminates the need to recreate the business context that was lost from extracting and replicating data. This gives users the ability to accelerate their decision-making with trust and confidence, knowing they always have the complete picture of their data regardless of where it is stored or how it was designed.

疯拍传媒 Datasphere 鈥� and its open data ecosystem 鈥� is the foundation for a business data fabric. It equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. 疯拍传媒 Datasphere helps customers:

• Access authoritative data: Accelerate time-to-value by automatically reusing the semantical definitions and associations from 疯拍传媒 applications
• Enrich all data projects: Harmonize heterogeneous data into a business semantic model of diverse data landscape
• Simplify the data landscape: Access all data across hybrid and cloud environments no matter where it resides

With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization, 疯拍传媒 Datasphere enables data professionals to easily distribute authoritative business data 鈥� with business context and logic preserved 鈥� across the data landscape.

Since the launch of 疯拍传媒 Datasphere, we have seen tremendous growth of customers innovating with this technology. For example, Messer CIO David Johnston describes his experience with the solution this way:鈥淭he business data fabric architecture enables us to bring 疯拍传媒 and non-疯拍传媒 data together in the seamless and self-service way we’ve been envisioning. 疯拍传媒 Datasphere provided us with a solution to build a harmonized layer, or business data fabric, across 疯拍传媒 and non-疯拍传媒, cloud or on-premise data sources, making the best use of our existing investments in 疯拍传媒, Microsoft Azure, Salesforce, and Oracle.鈥�

Next Steps

For over 16 years, data integration tools from 疯拍传媒 have enabled our customers to turn disjoined data assets into actionable business insights at scale. Take the next step and begin your business data fabric journey today:

• Visit the
• Try the free
• Read the

Kaiser Larsen is vice president of Data and Analytics at 疯拍传媒.

Gartner, Magic Quadrant for Data Integration Tools, Ehtisham Zaidi, Robert Thanaraj, Sharat Menon, Thornton Craig, Roxane Edjlali, Michele Launi, 4 December 2023
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

疯拍传媒 BTP brings together data and analytics, artificial intelligence, application development, automation and integration into one unified environment. Using 疯拍传媒 BTP to build its digital payments processing solution, PayPal now can offer a plug-in for 疯拍传媒 customers to manage payments easily online.

Many companies in recent years have seen an increase in business and compliance requirements for sending and receiving payments across organizations. As a result, digital wallets, automated clearing houses (ACH) and credit cards are being used for corporate transactions. With the PayPal Braintree Digital Payments connector, 疯拍传媒 customers can use all these funding sources to reduce costs and complexity.

The PayPal Braintree platform provides 疯拍传媒 customers with more payment choices. It is the only payment platform that supports PayPal, Venmo*, credit and debit cards and popular digital wallets in a single integration. 疯拍传媒 customers who purchased the 疯拍传媒 digital payments add-on can easily connect to PayPal with the plug-in, now available from the . Customers will benefit from increased efficiency, cost savings, security and transparency, with the plug-in鈥檚 smooth integration with 疯拍传媒 software environments certified through the .

鈥淭he payments space has undergone unprecedented disruption over the past couple years, driving companies to embrace more customer-centric, agile payments environments,鈥� said David Bruce, VP, Channel Partnerships, PayPal. 鈥淭hat鈥檚 why PayPal teamed up with 疯拍传媒 to develop the PayPal Braintree digital payments app, providing consistent, standard access for 疯拍传媒 customers to connect with PayPal鈥檚 payment processing solutions. We hope this is the first of many adaptors built on 疯拍传媒 BTP.鈥�

Shane Gorman, Chief Operation Officer, Business Technology Platform, 疯拍传媒, said: 鈥淚t鈥檚 great to see technology companies like PayPal use 疯拍传媒 BTP to develop standard adaptors that our customers and partners can use during an implementation for a consistent customer experience and reduced complexity.鈥�

Visit the . Follow 疯拍传媒 at .

*Venmo is available only in the United States.

Media Contact:
Bridget Carroll, +1 (267) 615-3589, bridget.carroll@sap.com, MT
疯拍传媒 疯拍传媒 Room; press@sap.com

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 2022 Annual Report on Form 20-F.
漏 2023 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.

With Gartner finding more than 80% of enterprises using generative AI application programming interfaces (APIs) or models, and/or deploying generative AI-enabled applications in production environments by 2026, we know there is vast opportunity ahead of us to build the tools and layout the pathways to enable every developer to make an impact.

We believe AI will have a profound effect on the way engineers and developers work in three fundamental ways. 

• First, how we build our software and applications
• Second, what we build into the DevOps cycle tools and platform
• And finally, who can code using natural language conversations, extending programming beyond low coders to no coders

Development will become even more democratized to anyone with great ideas and creativity.

At 疯拍传媒, we are at the forefront of business AI. 疯拍传媒 Business AI is about achieving real business results for the enterprise and making AI relevant, reliable, and responsible.

We have embedded AI capabilities into our solutions including Joule, our new generative AI copilot, which understands your business. 

We are working relentlessly to bring these generative AI use cases to our customers, including educating 疯拍传媒 employees on best practices and providing AI tools internally to accelerate generative AI-embedded product development. We are doing the same for developers. Here are three specific ways 疯拍传媒 is empowering every developer to become an AI developer.

Joule: Natural Language Programming

, our generative AI copilot, revolutionizes the way users interact with 疯拍传媒 business systems and data. With Joule, users can easily navigate across 疯拍传媒 applications, find information, execute transactions, collaborate with colleagues, and receive proactive recommendations.  

Instead of conducting laborious manual searches, Joule users can reduce their average search and query time by up to 80% by asking natural language questions and receiving intelligent answers on the wealth of business data and insights available across the 疯拍传媒 portfolio.

疯拍传媒 Build Code

Our new application development solution, , draws on the power of Joule to create data models, application logic, and test scripts. 疯拍传媒 Build Code provides a simplified developer experience that drives productivity and supports fusion development by teams of professional and citizen developers.

AI Foundation on 疯拍传媒 Business Technology Platform

We believe that business AI capabilities need to be directly embedded into business applications and extensions. The  is a one-stop shop for developers to do exactly that, providing ready-to-use AI services and tools to accelerate the development of generative AI-infused applications, in a secure and trusted way. 

AI Foundation includes everything developers need to run their business-ready AI in the applications they have built on 疯拍传媒 BTP, from ready-to-use AI services to AI runtime and lifecycle management. We provide the tooling for the management of generative AI capabilities and ensure business data connectivity. We designed it with security, governance, and trust from the ground up. 

Looking Forward: The Right Model for the Right Business Need

In early 2024, the AI Foundation will also include a generative AI hub, giving developers instant access to a broad range of large language models (LLMs) from different providers, such as OpenAI鈥檚 ChatGPT or Falcon-40b. We will soon add more models.

With this, developers can experiment by submitting a prompt to multiple LLMs to compare the generated outcomes and identify the best model for the task. They can then power mission-critical processes with complete control and transparency with features like built-in prompt history, all delivered with enterprise-grade security and data privacy. 

Our generative AI hub will also provide tooling for developers to supercharge their generative AI development processes and access to tools and techniques to extract the most relevant information from business and other data.

To get the most value in traditional business areas such as finance, sales, or supply chain, some enterprise customers require foundation models designed specifically for business context. 疯拍传媒 is committed to fine-tuning generic LLMs on 疯拍传媒 anonymized data and, in the longer term, to creating proprietary foundation models based on our vast structured business data. 

These models will be able to address questions that users face every day in business that LLMs cannot, such as predicting invoice payment dates and supplier delivery quality or proposing efficiencies to a business process. 

At 疯拍传媒, we are building the tools that will enable every developer to become a business AI developer, and in the process to become the true architects of the future.

Walter Sun is global head of AI at 疯拍传媒.

This is the very spot the world finds itself with . We鈥檙e past the hype and slick generative AI sales pitches.

Business leaders now want results. They are demanding tech vendors show them the money 鈥� the actual business value delivered by generative AI.

The Big Picture

At a macro level, generative AI鈥檚 impact on productivity could add trillions of dollars in value to the global economy. McKinsey鈥檚 latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across just the 63 use cases the consultancy firm analyzed 鈥� by comparison, the UK鈥檚 entire GDP in 2021 was $3.1 trillion.

疯拍传媒 is uniquely positioned to deliver on the promise of generative AI. We deliver the broadest suite of enterprise applications that maintain customers鈥� most mission-critical data. When this data is combined with the power of AI, it can truly revolutionize the way business runs.

Here are just a few examples of how we鈥檙e already showing customers the money with generative AI.

Supply Chain Automation

We鈥檝e built generative AI into the 疯拍传媒 Transportation Management solution to speed up freight verification and documentation for manufacturing customers. 

This transforms a historically cumbersome task that鈥檚 often still done on paper into a quick, automated, and fully digitized process. Expediting freight processing time with this capability translates into real money, delivering nearly $1 million in annual savings at a single warehouse facility 鈥� a savings customers with multiple such facilities can realize many times over.

Human Capital

Delta Air Lines is another customer working toward using 疯拍传媒鈥檚 business AI. Delta is an early adopter of the talent intelligence hub built into 疯拍传媒 SuccessFactors. Delta Air Lines is developing a generative AI proof of concept slated to automatically transform generic skill descriptions into more accurate capabilities that reflect the job鈥檚 requirements based on real-world, updated employee and customer data in context.

To help employees move from an hourly, customer-facing role to the salaried corporate position of their dreams, Delta Air Lines is building a dynamic, skills-based experience for continuous employee learning using the talent intelligence hub in 疯拍传媒 SuccessFactors solutions. Individual employees have a growth portfolio, which is a profile that includes their current skills and competencies mapped to formal and informal learning opportunities within and outside the organization, some recommended by AI-based algorithms.

Intelligent Collections

Suppliers always face the risk that some of their customers won鈥檛 pay on time. Late payments impact liquidity planning and working capital requirements. 

Collection management for 疯拍传媒 S/4HANA intelligently analyzes historical data and identifies customers and invoices with a higher risk for late payment. The solution reduces customer billing, credit, and collections costs. In one customer study, the solution enabled a consumer products producer with 30,000 employees to realize up to an extra $2.9 million in earnings annually.

Natural Language Questions. Quick, Intelligent Answers

As these examples show, time is money. Joule, 疯拍传媒鈥檚 generative AI copilot, helps customers save even more of it.

It鈥檚 like tapping your smartest coworker on the shoulder to get instant and accurate insights. Users can ask plain-language questions of Joule, which pulls reliable and relevant information from across 疯拍传媒鈥檚 cloud portfolio, instead of manually hunting for answers across systems.

In one Joule test, information and insights about transactional data were achieved an average of 10 minutes faster compared to manual searching and analysis. For the user, that means more time available for higher level tasks. And, for the business, that adds up across the enterprise to real resource and cost savings.

What鈥檚 Next

This is just the beginning. We can expect that 2024 will see generative AI solutions create even more value for customers around the world.

We 鈥� from AI-infused coding tools to a one-stop shop to create generative AI extensions and applications 鈥� that give the developers at  revolution the tools they need to transform the way businesses run.

Who knows? Soon Joule may be the one to tap you on the shoulder with an offer to 鈥淗elp me help you!鈥�

Julia White is chief marketing and solutions officer and a member of the Executive Board of 疯拍传媒 SE.

What most people don鈥檛 realize: tackling plastic pollution often starts at sea, yet the solutions begin on land.

I sat down with Emily Penn, sustainability activist and skipper, for the to delve into her personal journey and how companies, regardless of size, can initiate their sustainability vision and translate it into real-world impact.

Over recent years, I鈥檝e seen a significant change occur in the mindset of business leaders as they make sustainability a core aspect of their operations. Companies want to make a difference, but many don鈥檛 know where to begin.

鈥淯nderstanding your own carbon footprint and being able to access that data is crucial because we can鈥檛 change what we don鈥檛 know,鈥� explained Penn while talking about first steps companies can take to reduce plastic waste.

One of the key opportunities for businesses is having visibility into the right data to make informed decisions. About 80% of data within a given company remains untapped. By leveraging the right technology, companies can uncover a bigger picture of their business 鈥� for example, transparency around waste and supply chains to make changes that will support them in achieving their sustainability ambitions.

In 2014, Penn co-founded , a community interest company and non-profit organization that runs all-women sailing research expeditions at sea and virtual voyages on land to investigate the causes of and solutions to ocean plastic pollution. To do so, eXXpedition set out to first collect data to better understand the composition of plastic in our waters.

鈥淒uring one of our research missions of these 鈥榠slands of plastic鈥� in the ocean, we quickly realized that the plastic breaks down into tiny fragments, called microplastics,鈥� explained Penn. 鈥淭hese 171 trillion pieces of microplastic make their way into the food chain and, in turn, into our bodies.鈥�

eXXpedition set out to define changes that people, governments, and businesses could make to curb the environmental crisis. But first, the organization needed to correlate the data it had collected to specific regions, products, and more. This process of cleansing the data to identify patterns of consistent and high-quality connections allows organizations like eXXpedition and businesses to better understand where issues or areas for optimization exist and simulate potential solutions.

For example, Penn shared insights from her involvement in a project with a company that manufactures TV remotes. The project team unveiled that roughly five times the plastic used in a single TV remote was wasted during the production process. 鈥淵ou have to be able see the unseen waste that you鈥檙e creating,鈥� said Penn. 鈥淕etting visibility across the whole supply chain is absolutely key.鈥�

To share the learnings of eXXpedition, Penn created , which offers a comprehensive collection of hundreds of solutions designed to address the issue of plastic pollution. 鈥淭he idea of the platform is to encourage people to see that not everybody needs to do everything to tackle this global problem, we just need everybody to do something,鈥� she explained.

This is one example of how data can drive sustainability. (疯拍传媒 BTP) can unify data and analytics, artificial intelligence (AI), application development, automation, and integration in one environment. Customers from around the world and varied industries have used 疯拍传媒 BTP to help drive sustainability initiatives. For example, a Belgian utility company uses 疯拍传媒 BTP to harness smart meter data and identify opportunities for more efficient and environmentally responsible water usage.

Small changes in behavior can have a significant impact when we unite our efforts. For companies, the first step is to address the data problem. Only with more visibility and improved data quality can they drive sustainability throughout the entire value chain.

Ragunath Ramanathan is chief revenue officer for 疯拍传媒 Business Technology Platform.

Top photo courtesy of 疯拍传媒 employee Angela Klose.