This is good news 鈥� not just for customers but also for the ecosystem. In recent months, 疯拍传媒 had already identified that when engineering teams deliver innovations, there is a corresponding need to provide customers with guidance on how they can swiftly adopt and consume innovation. Customer Services & Delivery was created to bring together the offerings that help customers tap the value of 疯拍传媒鈥檚 integrated portfolio.

By virtue of its function, the Customer Support organization fits into this strategic setup quite naturally. To learn more about how Customer Support is owning and driving end-to-end customer support experiences powered by AI, I met with Stefan Steinle, executive vice president and head of Customer Support, 疯拍传媒 SE. 

Q: How would you describe the role of Customer Support in 疯拍传媒鈥檚 success?

A: Customer support is a differentiating factor among companies that are equally positioned in functional richness, usability, quality, deployability, or configurability. While signing up a new customer is considered a huge win, being able to delight and retain the customer is equally important.

has been singularly impactful in advancing 疯拍传媒鈥檚 customer success stories by proactively responding to customer needs and building long-term relationships. In addition to helping customers solve day-to-day problems, we are business partners who proactively work with customers toward achieving their business goals.

The Customer Support group encompasses much more than bug fixes. In addition to regular ticket resolutions, we use 疯拍传媒 Cloud ALM to help guide customers in application lifecycle management by enabling their transformation to the cloud and the operation of hybrid environments. We help customers help themselves through self-services and we proactively consult with our engineering teams to improve 疯拍传媒 products based on support-related feedback and learnings. Thanks to our support engineers, 疯拍传媒 has delivered over 1,000 improvements in the last 12 months. 

Q: How is 疯拍传媒鈥檚 AI story shaping up when it comes to Customer Support? What is the AI strategy for Customer Support?

A: With our focus on value realization, the push to enhance support with AI has never been higher. To start with, we have invested in digitalizing mission-critical business processes with AI.

There are three parts toward bringing these business processes into the fold of AI-powered offerings. With the help of 疯拍传媒 Signavio Process Transformation Suite, we can measure metrics around the customer鈥檚 business processes to gauge efficiency, bottlenecks, and opportunities for improvement. Alternatively, customers can use this as a blueprint to review these metrics themselves. The next layer delivers business transformational AI services. And finally, we have a platform that provides tools to support a closed-loop approach for AI innovation in services and support.

Coming to the AI strategy for Customer Support, we believe that any innovations in AI must be in lockstep with application integration, meaning AI developments can only bring business value when they are infused and integrated into the applications used in a business process or scenario.

Q: In the context of Customer Support, could you give some examples of how AI brings business value?

A: While the real-world applications are countless, we could broadly classify them into three groups.

We use AI to correct 鈥� this means we use AI for the support experience, for personalization, and for data-driven decisions. We use AI to connect 鈥� here you find the platform, tools, and applications along customer touchpoints. We use AI to catalyze 鈥� this covers self-service, issue resolutions, and predictive and preventative support.

Q: How does 疯拍传媒 realize this?

A: We do this by taking advantage of our AI development platform that can bring all the data of services and support into one place. This platform helps bring endless possibilities based on the unique needs of customers鈥� businesses. On our part, we ensure that we explore the power of AI across business contexts.

By building AI models, we have the power to transform business in the way we want. We can plug these models into support systems and portals to extract the full value of AI in support. By collecting data and events from support systems and portals, we can even train AI models that can deliver value later. By processing the context and history of the customer, we can provide highly personalized support experiences 鈥� at runtime.

I could go on, but at this point I would urge you to follow the Customer Support tracks at , to learn about the technologies and strategies that are shaping the future of Customer Support and business transformation. Be sure to bookmark your favorite topics from this guide: .

Renuka Abraham is part of Customer Support at 疯拍传媒.

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

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

Here are some highlights:

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

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

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

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

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

Companies that prioritize sustainability in their operations, such as using recycled materials, reducing carbon emissions, or supporting social causes, are gaining popularity among consumers. But those consumers demand proof of these values and product promises at the point of sale.

鈥淭he rise of sustainability isn’t just a movement; it is a shift in consumer consciousness,鈥� said Dania Fayyaz, 疯拍传媒 North America sustainability program manager. 鈥淭oday’s consumers are redefining their purchasing patterns, opting for products and brands that align with their values, and driving a demand for eco-conscious practices and ethical sourcing.鈥� In her conversations with retailers that visited 疯拍传媒鈥檚 booth at NRF 2024, the world鈥檚 largest retail fair, she saw a high interest in sustainability solutions.

Consumers 鈥� and Markets 鈥� Demand Visibility

When the EU Deforestation Regulation (EUDR) comes into effect for large enterprises later this year all products sold in the EU containing palm oil, cocoa, soy, rubber, cattle/leather, coffee, wood, and their derivatives will need proof that their harvest didn鈥檛 contribute to deforestation. Non-compliance will result in potential fines of up to 4% of companies鈥� EU annual turnover. To help businesses simplify this complex task, the 疯拍传媒 Green Token solution can track the geolocation of where raw materials are harvested and automate the creation of due diligence statements (DDS). The solution can also help improve visibility for consumers on where the raw material for their clothing was sourced and offer information on potential reuse and recycling.

Take the example of a cotton shirt made from 50% certified recycled materials. Cotton can be sourced from multiple farms or recycling services and taken to a cotton mill where it鈥檚 spun into thread and later fabric. It becomes impossible to distinguish the different cotton elements 鈥� conventional versus recycled cotton 鈥� once they are co-mingled and the manufacturer loses insight into the sustainability attributes of the raw materials. That鈥檚 why it鈥檚 important to have a sophisticated tracking solution in place. “疯拍传媒 Green Token can enhance transparency for bulk-traded, co-mingled raw materials by digitally storing sustainability attributes on tokens that traverse the supply chain,” said Fayyaz.

In addition to making conscious decisions on raw materials and products, consumers can also consider circular economy models. 鈥淚’m really intrigued by the idea of revitalizing clothing items,鈥� said Fayyaz. 鈥淚magine being able to exchange a well-loved jacket you’ve had for years and receive credit in return. And the jacket might find a new owner who will genuinely appreciate it.鈥� The 疯拍传媒 Recommerce solution enables that scenario, helping brands and retailers take back, manage, and resell secondhand inventory to help accelerate the shift from linear to circular business models. On an even larger scale, 疯拍传媒 Green Ledger is 疯拍传媒鈥檚 vision to make transactional carbon accounting a reality. It can enable organizations to track carbon like they do cash, with every financial transaction having a corresponding carbon entry. 鈥淭his is incredibly desirable because we will see taxes for carbon imposed in the future, and decision-makers will want insights into which processes are utilizing the most carbon,鈥� Fayyaz said.

A Glance into the Crystal Ball

At the same time, low-price online platforms continue to attract consumers with their affordable and wide range of products. They offer competitive prices on trendy clothing and accessories using economies of scale and direct-to-consumer models. Despite concerns about their environmental and ethical practices, these platforms remain popular among price-conscious consumers. However, there is growing awareness of the environmental and social impacts of fast fashion and low-price models. As a result, consumers are becoming increasingly discerning in their purchasing decisions, prioritizing quality, longevity, and sustainability over cheap prices and fast fashion trends.

鈥淥verall, the consumer landscape is evolving, with a growing emphasis on sustainability, conscious consumption, and ethical practices,鈥� said Sven Denecken, chief marketing and solutions officer for 疯拍传媒 Industries & CX. 鈥淐ompanies that can adapt to these changing preferences and demonstrate a commitment to environmental and social responsibility are likely to thrive in the long term.鈥�

FC Bayern, one of the most successful global football clubs, continues to raise the bar on and off the field. With a relentless focus on excellence and innovation, the world-renowned club has extended its usage of 疯拍传媒 SuccessFactors software with AI-enabled solutions to enhance its HR functions and processes.

A clear key to the club’s success are the more than 1,000 employees in Munich, New York, Bangkok, and Shanghai who are as integral to the club as the players on the pitch, meaning each job experience and career path must enable employees to continuously develop themselves professionally to reach their full potential.

Streamlining HR Operations with 疯拍传媒 SuccessFactors

FC Bayern initially adopted 疯拍传媒 SuccessFactors to optimize its  talent management, modernize HR processes, and foster a culture of continuous learning and development. Over the years, the club has expanded its utilization of 疯拍传媒 SuccessFactors to manage everything from employee onboarding to performance management.

Click the button below to load the content from YouTube.

Always allow YouTube

By leveraging 疯拍传媒 SuccessFactors, FC Bayern benefits from:

• Increased Efficiency: Automated workflows and streamlined processes have significantly reduced administrative burdens, allowing HR teams to accelerate complex processes and continually reduce time on the recruiting journey.
• Insightful Analytics: Real-time data and analytics providing managers with valuable insights into employee performance, engagement, and development, enabling holistic decision-making across an employee鈥檚 career path.
• Scalability: As FC Bayern continues to grow and evolve, 疯拍传媒 SuccessFactors offers scalable solutions that adapt to the club’s ever-changing needs and requirements. Employees can now access their personnel data securely from anywhere using any device, with self-service options for employees, managers, and HR admins.

Transforming Recruitment with AI-Enabled Solutions

疯拍传媒 Business AI has the ability to transform the employee experience for employees, managers, recruiters, and HR professionals. Recognizing the importance of hiring top talent to maintain its competitive edge, FC Bayern will use AI-assisted capabilities in its recruiting process.聽 Now, the talent acquisition team at FC Bayern will be able to create compelling job descriptions — a previously time consuming and manual task — at the touch of a button, as well as be prompted with AI-generated interview questions based on job descriptions.

AI-enabled capabilities embedded in 疯拍传媒 SuccessFactors solutions empower organizations like FC Bayern to:

• Redefine Recruitment: Recruiters and hiring managers can benefit from the use of generative AI to create tailored job descriptions based on data from within 疯拍传媒 SuccessFactors solutions.
• Interview Questions with AI and Interview Evaluations in Microsoft Teams: Using Microsoft Teams integration, interviewers can now generate interview questions on the spot based on the job description in the job requisition by using generative AI capabilities.
• Elevate the Employee Experience: FC Bayern will empower their workforce to excel by providing seamless access to all HR systems, optimizing career development with 疯拍传媒 SuccessFactors Learning, and fostering engagement through experiences that prioritize and organize an employee鈥檚 individual needs, skills, interests, and aspirations, helping organizations like FC Bayern reinforce their reputation as an employer of choice.

The Future of HR at FC Bayern

By leveraging the 疯拍传媒 SuccessFactors HCM suite and 疯拍传媒 Business AI capabilities, FC Bayern will set new benchmarks in HR excellence, driving innovation and fostering a culture of professional growth and learning.

When organizations invest in their people — and in their passions and potential — they return the investment over and over. This happens when they are provided with intuitive self-service tools such as the 疯拍传媒 SuccessFactors Mobile app and access to HR systems that empower them to perform at their true potential. An improved employee experience in turn leads to better business outcomes.

As the club continues to evolve and face new challenges, FC Bayern remains committed to leveraging technology to stay competitive and bridge the skills gap of today to be better ready for what tomorrow brings.

Learn more about how 疯拍传媒 SuccessFactors Recruiting uses AI to transform your organization’s HR processes and drive success:

Maryann Abbajay is chief revenue officer at 疯拍传媒 SuccessFactors.

This finding confirms what thousands of midsize organizations using 疯拍传媒 SuccessFactors solutions already know. Accelerating the shift to digital HR isn鈥檛 just a critical advantage; it鈥檚 a game changer for business growth, especially as the need for new skills intensifies due to emerging technologies such as AI.

Oxford Economics鈥� research explains why: 鈥淎s AI-enabled technologies like chatbots and personalized recommendations become the norm outside the workplace, HR functions will need to strategize to incorporate similar self-service experiences and other AI-driven use cases into their employees鈥� way of working.鈥�

Driving Growth with a Talent Management Edge

Midsize organizations often seek a human capital management (HCM) solution that supports scalability and can match the pace and extent of their business growth. Yet, they frequently operate with limited HR capacity, hindering their ability to compete in a complicated talent landscape where a shortage of a million experts is expected by 2030.

Expanding midsize organizations particularly struggle to secure or develop talent with the skills required for growth. Oxford Economics reports that 49% of surveyed organizations cite the inability to find the right talent to maintain operations as their greatest near-term risk. Similarly, 41% of HR executives believe their organization鈥檚 inability to reskill and upskill workers to adapt to changing needs is a top threat.

With , midsize organizations can address both concerns. The HCM solutions can help run a cohesive, organization-wide strategy for upgrading outdated technologies and implementing modern, foundational capabilities such as workforce management tools and AI-enabled functionalities.

Here鈥檚 a sneak peek into the outsized outcomes 疯拍传媒 SuccessFactors solutions can deliver:

1. Inclusive Job Descriptions and Assisted Candidate Screening

AI is transforming skills-based hiring by creating compelling job descriptions and enabling inclusive applicant selection so organizations can find the best talent quickly and efficiently. We have thoughtfully embedded these capabilities into the聽聽solution to provide organizations with tools to help attract and secure candidates with the right skills.聽

Embedded AI assistance helps talent acquisition teams make better, more equitable hiring decisions while reducing time spent on manual, tedious tasks such as creating job descriptions. Insights into applicant skills 鈥� extracted from r茅sum茅s using AI 鈥� allow recruiters to quickly identify and rank top candidates based on their match to a job, removing unconscious bias from the process.聽

2. Integrated Learning and Talent Management

As the nature of work evolves, so does the approach to HR technology solutions. Integrated learning and talent management systems are pivotal in addressing this dynamic, facilitating a smooth flow of development opportunities for employees.

By leveraging  solutions, organizations can tie learning initiatives with talent management processes to help create a cohesive, impactful talent strategy and employee experience. Employees can access learning resources based on their career goals and performance, aligning their development with personal goals and organizational objectives.

3. Intelligent and Personalized Skill Recommendations

The Oxford Economics survey reveals that 30% of HR and IT decision-makers are starting to understand how AI can help meet talent development and retention goals critical to their company鈥檚 growth. This includes helping employees stay on track with a personalized view into what they have to, need to, and want to learn.

Adopting a learning management system that includes AI, such as聽the solution, gives organizations capabilities that can enhance the learner鈥檚 experience. For example, instead of a 鈥渟earch and find鈥� approach to identifying relevant courses and content, an AI-driven system can offer learning options highly relevant to the learner by automatically surfacing personalized recommendations based on the employee鈥檚 role, skills, needs, and preferences.

This approach can help save time by pointing learners toward the most relevant and valuable resources, instead of requiring learners to search for them alone. Most importantly, access to self-directed learning and development opportunities fosters a habit of continuous learning and personal growth.

4. New Opportunities for Employees to Grow

Both consumers and employees expect personalized experiences that are easy to navigate and relevant to their needs. Reflecting on this trend, organizations are leveraging solutions 鈥� such as the  solution 鈥� to support upskilling and reskilling efforts. 

The solution can connect employees with relevant projects, learning opportunities, mentors, and dynamic teams, presenting recommended matches through centralized access. Integrating talent intelligence into these recommendations can enhance their effectiveness by enabling the identification of skills gaps and the analysis of individual preferences and career aspirations. In return, employees can be empowered to grow and develop in ways that benefit them and the organization, helping to create a more engaged and motivated workforce.

Additionally, with the  solution, organizations can optimize employee experiences by properly preparing them for their next role. For instance, employees can feel empowered to own their career development by exploring career options with AI-driven recommendations and intelligent skills gap identification. Also, with AI-assisted goals, employees can quickly create more ambitious development goals aligned with their growth plans.

5. Holistic Skills Management

Competing for and retaining top talent remains a significant challenge for midsize organizations as the skills gap widens. While visibility into current skills and those required for the future can offer a competitive edge, tackling this issue fully requires a more comprehensive approach beyond skills alone. 

 can address all sides of this complex challenge by considering individual competencies, aspirations, and preferences. Leveraging talent intelligence, the suite allows organizations to enhance the talent experience with a strategy that can cater to the 鈥渨hole self鈥� of the employee.

6. Enhanced Productivity and Engagement

Aligning employee goals to business objectives is crucial for enhancing productivity and performance. With AI-assisted goals, employees can craft meaningful and aspirational goals in a fraction of the time it usually takes. 

The  solution enables flexible and continuous performance modeling. Real-time coaching and feedback are included in the flow of work, helping employees feel more supported and engaged while enabling continuous insights and growth.

Building a Workforce Culture of Growth with AI

疯拍传媒 SuccessFactors solutions can offer a holistic approach to take advantage of the critical role of talent management strategies in driving business growth, as highlighted in the Oxford Economics report. With innovative AI capabilities, the solutions are helping many organizations worldwide win the race for talent and skills and build an agile workforce.

 is not just about cutting-edge technology. We create HCM solutions that are relevant, reliable, and responsible. Backed by this AI principle, 疯拍传媒 SuccessFactors solutions can offer a competitive edge in the current dynamic talent landscape. Organizations are not only empowered to keep up 鈥� they鈥檙e also prepared to lead the way with talent management strategies that drive ongoing growth, innovation, and success.

Discover how growth-focused midsize businesses prioritize their HR and IT strategies to help them grow and remain competitive. Read the Oxford Economics study, sponsored by 疯拍传媒, .鈥�

Margit Bauer is director of Product Marketing for 疯拍传媒 SuccessFactors.

Yet, this has become a challenge for chief procurement officers (CPOs) who often lack information on the supplier base. In fact, found that suppliers are often reluctant to disclose privileged information, leading to miscalculated procurement decisions.

Against this backdrop, how can procurement professionals elevate their role and transform the depth of insights the function can offer? I believe this starts with three key actions.

1. Go Beyond Reporting

Environmental, social, and governance (ESG) initiatives have become a priority for procurement teams in recent years. Unfortunately, buyers often fail to receive accurate or complete sustainability information from sellers, according to the Procurement Leaders study. This lack of transparency can increase the potential for regulatory violations, especially as climate-focused laws like the come to fruition.  

While reporting should remain a key tactic, it is not sufficient to deliver on sustainability goals. Organizations must invest in software that fits within the organization鈥檚 scope, generates more touchpoints with sellers, and provides visibility into suppliers鈥� social and environmental impacts.

Software can help organizations increase regulatory compliance, reduce costs, and develop healthy relationships with sellers. Of course, there are limitations as suppliers can be reluctant to share information 鈥� like financial statements or internal regulatory policies.

However, software that is augmented with predictive analytics can deliver metrics and insights into supplier emissions and energy usage that enable organizations to evaluate suppliers against their sustainability objectives.

2. Take the Lead Through a Bold but Methodical AI Strategy

As procurement teams take on more responsibility in increasing transparency across the supply chain, they should be courageous but vigilant in efforts to uncover supplier insights. Consequently, many CPOs have opted for strategies involving AI.

AI can provide procurement teams with intelligent business data that can lead to more informed purchase decisions. Additionally, according to the , AI can reduce time spent on buying processes by up to 60% and reach cost savings of up to 40%.

Adopting AI throughout the source-to-pay process has obvious benefits, although many companies lack the internal skills needed to leverage the power of this technology. Organizations should take a holistic and careful approach, ensuring that internal and external stakeholders are 鈥渂ought-in鈥� and empowered through cohesive training and change management programs.

Similarly, CPOs should take steps to maintain rigorous data privacy policies to build trust with suppliers. Procurement teams should only implement AI technologies that are relevant, responsible, and reliable, ensuring that the implementation of AI follows guiding principles and protects the privacy of all users.

3. Select a Trusted Technology Partner

Leading procurement teams are realizing the importance of cultivating trusted and mutually beneficial relationships with suppliers, particularly those offering resources vital to business continuity. Identifying a technology partner who understands the needs of different industries and the power of developing connections can empower procurement teams to optimize decision-making.

This is where 疯拍传媒 is in a unique position to help. We not only have unmatched access to business data, but we鈥檝e processed data responsibly and reliably for decades through , , and now . This makes it possible to help organizations counteract supplier reluctance, as 疯拍传媒 Ariba solutions work with millions of trading partners to help develop connections and provide greater visibility.

In addition, 疯拍传媒 Ariba solutions can provide guided recommendations for buyers, supporting internal compliance even if the user is unaware of regulations. This can enable deeper knowledge of spend management, helping to reduce redundancies and complexities and provide employees with more time to solve harder problems.

Procurement鈥檚 visibility into the supply chain is paramount for informed decision-making and mitigating risk. By moving beyond reporting, investing in AI methodically, and partnering with a trusted solution provider, procurement will not only achieve greater supply chain visibility but also lay the foundation for increased innovation and competitive advantage in today鈥檚 global economy.

Now is the time to rethink your procurement technology strategy.

Baber Farooq is senior vice president and head of Market Strategy for 疯拍传媒 Ariba.

鈥淎t TrustRadius, we pride ourselves on providing unbiased and transparent insights into the software industry,鈥� said Allyson Havener, senior vice president of Marketing and Community at TrustRadius. 鈥淩eceiving a TrustRadius Top Rated award is a testament to 疯拍传媒 SuccessFactors HCM鈥檚 exceptional performance as validated by unbiased user feedback. This recognition highlights 疯拍传媒 SuccessFactors鈥� commitment to delivering innovative human capital management solutions that truly meet the needs of businesses.鈥� 

This year, 疯拍传媒 SuccessFactors earned awards across the following categories: Applicant Tracking, Compensation Management, Talent Management, Workforce Analytics, Sales Incentive Compensation Management, HR Management, Workforce Management, Employee Performance Management, Sales Performance Management, Corporate Learning Management, Succession Planning, and Internal Payroll. 

We are grateful to our more than 10,000 global customers whose partnership allows us to help make every employee a success story by harnessing the to elevate every experience, guide every people decision, and connect HR across every aspect of the business. 

In the past year, 疯拍传媒 has introduced new AI capabilities that span the entire 疯拍传媒 SuccessFactors HCM suite and help transform how organizations unlock individual and collective potential. , 疯拍传媒鈥檚 natural language generative AI copilot, helps employees and managers work faster and smarter by making it easier to find information and complete common HR tasks. With an embedded AI-driven skills framework, 疯拍传媒 SuccessFactors solutions help power an organization鈥檚 learning and talent strategy and address critical skills gaps. The combined force of these innovations helps customers better meet the business challenges of today and tomorrow.  

Below are a few reviews from our customers:

鈥淲e chose 疯拍传媒 SuccessFactors over competitors for its鈥痗omprehensive HR suite, superior integration capabilities with鈥枧拇� systems, and global scalability. Its user-friendly interface鈥痑nd extensive analytics stood out, offering more in-depth鈥痠nsights and a seamless experience compared to other solutions鈥痠n the market.鈥�

鈥�The benefit of [疯拍传媒] SuccessFactors is its flexibility. I have implemented鈥痆疯拍传媒] SuccessFactors at companies with as little as 1,500 employees鈥痑nd also鈥痺ith as many as 120,000 users. It can handle the complexities of global鈥痳equirements while still being able to scale to a small, midsized business鈥痠n a cost-effective manner.鈥浓赌�

鈥湻枧拇� SuccessFactors has a clean employee view of鈥痙ata and鈥痮ffers a wide range of functionality to support midsize to large鈥痗ompanies.鈥浓赌�

Learn more about and read our customer reviews on鈥�. For more information about these recognitions, visit the . 

Aaron Green is chief marketing & solutions officer for 疯拍传媒 SuccessFactors.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Where do advisory services fit into the customer journey?

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

By using any of a variety of services when implementing and adopting 疯拍传媒 S/4HANA Cloud, customers can strategically and effectively handle each change. Their efforts include 44% improved user experiences, 40% faster incident resolution, 38% better enablement and upskilling, and 38% faster time to value from their technology investments, according to a .

And now, with the latest offering for 疯拍传媒 Preferred Success, customers are going beyond navigating turbulence. They can also maximize opportunities, reduce risks, and understand how dynamic economic and market forces impact their long-term success.

Introducing 疯拍传媒 Preferred Success for RISE with 疯拍传媒, premium

The 疯拍传媒 Preferred Success service for RISE with 疯拍传媒, premium can deliver more guidance and insight to help accelerate and optimize the value of the cloud ERP journey, in addition to the foundational services of 疯拍传媒 Preferred Success.

With personalized services designed to meet unique business needs proactively, customers can realize benefits, including:

• Improved productivity with access to 疯拍传媒 knowledge and best practices
• Accelerated ROI with tailored guidance and expert support to organize 疯拍传媒 solutions faster and more efficiently
• Fewer risks by following best practice recommendations that minimize system disruptions and help ensure smooth operations
• Better alignment by matching 疯拍传媒 solutions with organization goals, capitalizing on the features and innovations of every release
• Higher efficiency by consistently fine-tuning and providing personalized recommendations aligned with specific business value drivers

For customers such as (Kyocera), 疯拍传媒 Preferred Success helps create a solid foundation for modernizing business operations. 鈥淯sing 疯拍传媒 Preferred Success enabled us to accelerate the business acceptance of change and drive a continuous improvement landscape. It has provided an avenue to reevaluate our processes and create a more efficient business,鈥� states Rohan Higgins, chief financial officer of Kyocera Document Solutions.

As a result of the quality and caliber of the 疯拍传媒 expertise and active engagement, Kyocera has successfully moved 100% of its ERP processes to the cloud, leading to zero manual touchpoints across its forecasting processes. Other customers have realized additional benefits, such as more efficient business processes, smaller database sizes, infrastructure simplification, and reduction of cost centers.

疯拍传媒 Preferred Success for RISE with 疯拍传媒, premium can provide additional elements for modernizing business operations, including:

• A dedicated, named enterprise adoption expert with a strong technical and functional background, who can provide expertise and help orchestrate how-to conversations supporting the build of outcome-focused plans
• Assistance and guidance based on recommended best practices to help increase the customer鈥檚 understanding of its business processes and how the solution is being used
• Ongoing innovation and transformation through continuous review of the customer鈥檚 calendar and plans 鈥� including the adoption of entitlements, such as business AI, sustainability, intelligent technologies exploration, and process management
• Clean core guidance and quality checks for each project phase to help ensure the customer can leverage existing and future innovations within RISE with 疯拍传媒

With a dedicated focus on sustainability exploration, 疯拍传媒 Preferred Success for RISE with 疯拍传媒, premium helps ensure that businesses can embrace a more sustainable future while driving growth and success in the digital age. By leveraging the comprehensive suite of tools and resources provided by 疯拍传媒 and orchestrated by an enterprise adoption expert, organizations can navigate their sustainability initiatives with confidence and precision.

疯拍传媒 Preferred Success for RISE with 疯拍传媒, premium also offers a unique avenue for harnessing the transformative power of AI with cloud ERP. Through a tailored approach, customers are guided by seasoned enterprise adoption experts facilitating a comprehensive exploration of business AI. Customers are then empowered to innovate, automate, and optimize their business processes using the cutting-edge AI capabilities seamlessly integrated into the 疯拍传媒 ecosystem.

Access to such a wealth of products, tools, and frameworks gives invaluable insights on configuring and customizing AI solutions to suit unique needs. By leveraging built-in AI capabilities from 疯拍传媒, customers are not only equipped to streamline operations but also to drive innovation and achieve sustained growth in today’s dynamic business landscape.

Accelerating Competitive Outcomes from Cloud ERP

As businesses continue to compete in an ever-evolving landscape, the need for innovative solutions that drive growth and efficiency has never been more critical. And 疯拍传媒 Preferred Success for RISE with 疯拍传媒, premium is ready to help, offering the functional and technical guidance, personalized services, and ongoing support necessary to realize the full potential of the cloud.

As demonstrated by success stories worldwide, including that of Kyocera, 疯拍传媒 Preferred Success for RISE with 疯拍传媒, premium is helping customers not only adapt to change but also seize new opportunities for growth. This service is not just a solution; it鈥檚 a strategic partnership that can empower organizations to thrive in an ever-evolving world.

Ready to amplify the impact of your cloud ERP transformation? or contact your local 疯拍传媒 representative to learn more about 疯拍传媒 Preferred Success for RISE with 疯拍传媒, premium.

Mine Ecevit is cloud ERP lead for Cloudified Services Sales and Go to Market at 疯拍传媒.

The glass bottles on the high-speed filling line made quiet clinking sounds as they sped around the bend of the track. The visitors to the 疯拍传媒 booth at the internationally renowned industrial trade fair were waiting for the moment when an optical sensor, using AI support, spotted the bottle that was only three-quarters full and kicked it out of the line and into a defects bay. 鈥淭his system has a capacity of 6,400 bottles per hour,鈥� said a grinning Ben Hughes from 疯拍传媒鈥檚 Solution & Innovation Experience team. 鈥淚n comparison, the original system from our partner can fill 50,000 bottles, but that would be much too loud here at the trade fair booth.鈥�

The showcase demonstrated how the cloud-based 疯拍传媒 Digital Manufacturing solution could serve as the process order management system for 疯拍传媒 customers, whether they typically work with a lot size of one or with continuous manufacturing at higher speeds. The purchase order could have come from an 疯拍传媒 S/4HANA system, for instance, and ended here with execution in production. 鈥淲e can see the hardware integration with our own eyes,鈥� said Hughes.

AI was also involved: a camera captured the fill level of each bottle. If it was outside the defined tolerance, the bottle was rejected and this information was sent to the 疯拍传媒 system. A manufacturer could use this data to calculate the production costs for the system and the profitability of every work center, all with AI support. The data from all systems would give experts and management insights into how well the production process was working. This, in turn, would help improve planning.

Click the button below to load the content from YouTube.

Always allow YouTube

Complete Portfolio from the Industry鈥檚 Point of View

Hannover Messe 2024 took place from April 22-26. Muhammad Alam paid a visit for the first time in his role as leader of the 疯拍传媒 Product Engineering Board area. At the 疯拍传媒 booth, which featured the motto 鈥淏ring out new manufacturing excellence,鈥� he emphasized the importance of AI as an integral part of 疯拍传媒 solutions: 鈥淎I has the opportunity to fundamentally create significant value for our customers, particularly in the industrial space, with an ability to create resiliency from a supply chain perspective that just wouldn’t be possible without the application of AI.鈥�

疯拍传媒 demonstrated nearly its entire portfolio in an industrial context in Hannover. 鈥湻枧拇� uses what we call 鈥榚nd-to-end scenarios鈥� to do this,鈥� said Georg Kube, head of Industry Data Ecosystems. To reflect this, the booth was set up in line with this logic. The 鈥渄esign to operate鈥� graphical element, which maps all steps of the manufacturing process, showed the corresponding step in the value chain at each station of the booth. 鈥淲e integrate our solutions with the specific process that manufacturers have,鈥� Kube said. 鈥淭hey design a product, then it鈥檚 manufactured, then it鈥檚 bought by a customer, and in the end it is being used and maintained. We offer integrated solutions for every step in this process.鈥�

Working Together for Success

Darcy MacClaren, global CRO for Digital Supply Chain, acknowledged the challenges faced by 疯拍传媒, its customers, and its partners: 鈥淲e are facing environmental and geopolitical disruptions and we want to be sustainable.鈥� She said collaboration is the key to achieving these daunting goals, a message that was echoed in many presentations and podium discussions at the booth.

For example, experts from , , and 疯拍传媒 discussed how the automotive industry network is creating a standard that enables collaboration, data interchange, and transparency to support decarbonization along the value chain. Catena-X serves as a blueprint for other industrial networks under the umbrella, such as Factory-X for factory equipment suppliers and operators.

The showcases at the trade fair booth wouldn鈥檛 be possible without partners, which also play a decisive role in 疯拍传媒鈥檚 competitiveness and future viability. 鈥淭he partner ecosystem is a key success factor for 疯拍传媒,鈥� said Andreas Markus Thon, head of Digital Supply Chain MEE. 鈥淭hey are enriching our suite with their applications and solutions and are critical for high quality and successful adoption and use of our solutions.鈥�

A Fleet of Robots Delivers Materials

疯拍传媒鈥檚 鈥淢odular Manufacturing鈥� showcase let visitors witness examples of successful partner collaboration for themselves. It demonstrated a fleet of autonomous transport robots that delivered a variety of parts for a valve from storage to assembly stations. Thanks to the fleet control software with embedded AI from 疯拍传媒 partner , the robots from different manufacturers worked together seamlessly, making autonomous, situational decisions as to which station should assemble or disassemble the parts. The scenario demonstrated that 疯拍传媒 systems can also implement modular production, which is typically used in manufacturing scenarios involving many variants and low to medium product volumes. 疯拍传媒 S/4HANA, 疯拍传媒 Extended Warehouse Management, and 疯拍传媒 Digital Manufacturing were deployed here.

The 鈥淚ndustrial Metaverse鈥� showcase was another big draw. It let visitors to the 疯拍传媒 booth put themselves in the shoes of a systems operator, using VR (virtual reality) glasses to inspect a system virtually, even if the manufacturing was taking place on the opposite side of the globe. The 鈥淚njection Molding Machine鈥� scenario vividly demonstrated how planning and manufacturing dovetail in integrated, agile, made-to-order production, as the machine produced colorful recycled plastic cups for guests at the end of the process.

Other topics at the trade fair included potential uses of digital twin solutions, such as virtual models and real-time simulations, as well as collaboration between people and machines. A summary description of all the presented scenarios is available .

The World鈥檚 Largest Industrial Trade Fair

The guiding theme of Hannover Messe 2024 was 鈥淓nergizing a sustainable industry.鈥� Nearly 4,000 exhibitors from 60 countries presented solutions for a high-performance, sustainable industry. As part of an industrial ecosystem, they showed how carbon neutrality can be achieved through electrification, digitalization, and automation.

Companies from Germany, China, Turkey, the U.S., Italy, and France booked the largest exhibition spaces. Around 1,600 speakers appeared on the venue鈥檚 11 conference stages. This year鈥檚 partner country was Norway.

Under its motto 鈥淏ring out new manufacturing excellence,鈥� 疯拍传媒 demonstrated how it is using AI to advance manufacturing processes, among other solutions, at its more than 1,000-square-meter booth in Hall 15. Visitors to 疯拍传媒鈥檚 booth had the opportunity to see 27 product demonstrations and nine interactive showcases. More than 25 疯拍传媒 partners showed the collaboration and variety of potential uses of their solutions, and 35 presentations by experts and customers were featured at the booth.

Photo 漏nottebrock.

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

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

AI as a Booster for Procurement and Purchasing Processes 

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

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

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

AI Strategies: Think Holistically 

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

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

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

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

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

Practical Example: Category Management at OMV 

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

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

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

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

Curious to Learn More?

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

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

Click the button below to load the content from YouTube.

Always allow YouTube

Paul Saunders, head of Product Strategy and chief evangelist of Cloud ERP for 疯拍传媒 S/4HANA, is interviewed by Laura Marwood, Ph.D., Cloud ERP product specialist, on the many issues surrounding trust in the context of AI in enterprise resource planning (ERP).

When technology advances faster than people and processes, adoption can be a challenge. For these reasons, it鈥檚 important for companies such as 疯拍传媒 to pay as much attention to trust as they do to the technology.

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

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

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

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

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

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

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

But What Are Our Customers Saying?

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

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

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

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

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

Driving Success for Our Customers

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

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

Join Us at 疯拍传媒 Sapphire!

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

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

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

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

疯拍传媒 Business AI

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

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

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

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

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

疯拍传媒 SuccessFactors Employee Central

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

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

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

疯拍传媒 SuccessFactors Employee Central Global Benefits

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

疯拍传媒 SuccessFactors Time Tracking

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

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

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

疯拍传媒 SuccessFactors Onboarding

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

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

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

Read the and watch the to find out more.

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

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

1. Identify and Prioritize Critical Skills

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

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

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

2. Foster a Culture of Continuous Learning

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

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

3. Embrace Flexibility and Adaptability

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

Click the button below to load the content from YouTube.

Always allow YouTube

AI Plays a Critical Role

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

Sustainability for a Better World Today 鈥� and Tomorrow

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

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

Adoption Can Be Challenging

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

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

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

The Winners Shine in Seven Categories

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

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

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

Each year, the conducts in-depth research on the latest trends and predictions impacting the HR function. Our PhD-level organizational psychologists and market intelligence experts aggregate and analyze a mountain of HR trends and predictions data to deliver a list of actionable 鈥渕eta-trends.鈥� For 2024, a list of 611 individual trends were broken down into nine key themes.

Above all, there is no question that 2024 is the year of artificial intelligence (AI). No longer just hype or speculation, AI is officially here. Exciting possibilities have become realities and organizations must embrace AI or risk being left behind. And while our number one HR trend is AI, you can also see its effects across every trend.

Below is a snapshot of the top three 2024 HR meta-trends, with examples of how 疯拍传媒 SuccessFactors solutions can help organizations stay ahead of the curve.

1. AI Upends the World of Work as We Know It

I don鈥檛 go a day 鈥� or maybe 10 minutes 鈥� without a customer asking for all the latest and greatest on AI innovation. That makes sense, as AI has dominated the 2024 trends discourse and it鈥檚 increasingly become seen as a way to augment human work.

Trends indicate that using all forms of AI to improve day-to-day productivity will be top of mind for organizations in 2024. In particular, self-serve AI tools like copilots are poised to increase employee productivity on various day-to-day tasks. As employee sentiment about using AI tools at work has improved, so has the ability of these tools to make employees more efficient and effective.

HR use cases abound, particularly within talent acquisition, but concerns continue about data privacy, ethics, and regulatory compliance. There鈥檚 a lot of noise and movement in the space, and regulators and enforcement agencies are acting quickly to keep up.

With the tech landscape and market realities in mind, the HR leaders who head AI implementation programs, maintain a strong policy posture, and avoid overhyped or underbaked propositions to take advantage of the most valuable capabilities will steer their organizations down the right AI path.

Embedding an AI copilot in HR solutions, like , can help employees and managers work faster and smarter by making it easier to find information and complete common HR tasks, such as updating personal data, giving feedback, and initiating a promotion.

2. Skills Become the Center of HR Practices

As AI needs rise within organizations, many organizations will need to immediately respond to determine what AI skills are needed, who possesses those skills, and how to fill skill gaps 鈥� whether build, borrow, buy, or bot. On the other hand, AI capabilities will also drive the ability for organizations to more effectively engage in strategic workforce planning.

Furthermore, in today’s increasingly complex business environment, traditional top-down human resources approaches fail to address employees’ increasing expectations for flexible and personalized career development. In 2024, HR will need to meet employees鈥� growing expectations for bespoke career paths while also solving the broader organization鈥檚 growing skills gaps and talent shortages, which present a major concern for leaders.

Looking forward, it will be interesting to see whether the average organization fully engages in long-term, strategic, skills-based workforce planning, which has long been a strategic objective for many but often remains out of reach as they react to immediate priorities. AI skills could work as a forcing function here 鈥� and contribute to other trend areas like learning and employee potential.

can drive better employee experiences and business outcomes by using a common skills framework across recruiting, learning, performance management, internal mobility, and development.

3. Hybrid Work Returns to the Office

Looking back at our yearly analyses of HR meta-trends, we saw the hybrid work topic shift from a focus on remote work as a reactive tactic to protect employees鈥� health and safety in 2020, to a focus on flexibility in 2021, to maintaining productivity and collaboration while working flexibly in 2022, and finally to an emphasis on underlying flexibility and the need for and benefit of malleable guidelines and principles in 2023. With the recent increase in partial and full return-to-office (RTO) policies, 2024 trends data suggests that the pendulum has swung back to hybrid, referring specifically to work location versus a broader perspective centered on flexibility.

Companies in 2024 will continue to experiment with motivating employees to return to the office in ways that promote productivity, collaboration, and cost savings but don鈥檛 alienate their top talent. But some organizations are focusing more on redesigning the nature of work rather than just mandating where or when work gets done.

help employees adopt a hybrid working model by providing options for common HR tasks regardless of when and where they are working, such as clocking in and out via desktop, mobile, or Microsoft Teams.

There are plenty more strategic takeaways in the full report 鈥� the entire paper is a must-read for HR leaders to learn more from our research team on the latest trends in:

• Diversity, equity, inclusion, and belonging (DEI&B)
• Employee mental health
• Leadership trust
• HR skills and agility
• Compensation
• Sustainability

For additional insights, .

Dan Beck is president and chief product officer for 疯拍传媒 SuccessFactors.

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

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

That鈥檚 where artificial intelligence comes in.

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

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

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

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

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

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

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

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

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

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

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

A Game-Changing Feature

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

Some key benefits and features of the vector engine include:

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

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

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

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

The Database for Innovation

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

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

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

Leaders need to embrace generative AI as a way to address these challenges with talent intelligence and advanced analytics. According to , 26% of CEOs rank the talent shortage as the top damaging factor to business outlook, and 76% of HR leaders agree they will be lagging in organizational success if they don鈥檛 adopt and implement generative AI in the next 12 to 24 months. 

 At 疯拍传媒, we have a proven track record of providing HCM solutions in the cloud for leading organizations around the globe. Our customers trust us to not only manage their sensitive employee data and payroll, but to help them understand their workforces as they prepare for the skills they need in the future. 

The provides truly global HR cloud software with powerful AI capabilities to help organizations meet the challenges of today and innovate for tomorrow. Our more than 10,000 customers 鈥� from startups and midmarket companies to large enterprises 鈥� use our solutions to help bring out the best in their people by harnessing the to elevate every experience, guide every people decision, and connect HR across every aspect of the business. We do this with:聽

• : A single source of truth is key for any organization to enable insight into the entirety of its workforce: employees, contingent workers, and dynamic teams. The 疯拍传媒 SuccessFactors HCM suite can provide localized support for over 100 countries and territories and cloud payroll for 50 countries and territories, plus additional modular solutions for time, benefits, and HR service delivery.

• : Skills gaps and talent shortages have been persistent challenges that continue to exist across all industries. Addressing them starts with an understanding of skills that currently exist, followed by pathways for employees to find new opportunities, learn new skills, and access mentors and feedback. The talent intelligence hub across 疯拍传媒 SuccessFactors solutions uses AI to continuously help organizations and employees understand their skills and match people with personalized career pathways.  

• : Every person has unique needs and preferences 鈥� in how they work, how they communicate, and what鈥檚 required for their role. Along with a refreshed, modern user experience, we鈥檝e built in generative AI capabilities throughout our solutions to help people work smarter. And with Joule, 疯拍传媒鈥檚 copilot, they can quickly complete HR tasks and get conversational responses to their questions.

• : Having access to people data connected across the business is critical to building agility, speed, and resilience within an organization. With the power of the broader 疯拍传媒 portfolio, organizations can improve end-to-end business processes across the entire business. This is also complemented with our partner ecosystem, which includes over 350 apps for HR.

We firmly believe that when organizations invest in their people 鈥� in their passions and potential 鈥� they return the investment over and over. And with the rapid acceleration of AI, it鈥檚 more important than ever to build pathways to employee growth, including new ways to upskill, reskill, and discover opportunities that align with a person鈥檚 skills, interests, and aspirations. 

Learn more about the .

Dan Beck is president and chief product officer for 疯拍传媒 SuccessFactors.

Here, five 疯拍传媒 employees share about their roles, motivations, and tips for anyone wanting to step into AI. The women 鈥� Khawla Mallat, Camila Lombana Diaz, Xin Chen, Nadine Hoffmann, and Puntis Palazzolo 鈥� span four countries and three areas: Data Science Engineering, Product Management, and AI Ethics.

Data Science Engineering

Dr. Khawla Mallat, Security and Quantum Exploration Team, 疯拍传媒 France

鈥淏e ready to be challenged all times,鈥� says Mallat, if you want to build a career in AI.

Unlike most data scientists at 疯拍传媒, Mallat does not work directly on the product but is firmly anchored in researching and addressing 鈥渟ome of the technical challenges related to AI, namely fairness, explainability, privacy, and security.鈥�

Prior to joining 疯拍传媒 two years ago, Mallat was confronted with the unintended prejudices of face analysis systems. Certain demographic groups, explains Mallat, used to be inadvertently omitted or underrepresented in the underlying data sets, leading to shortcomings in the face analysis capabilities. Such cases highlight the broader issue of bias鈥痠n other鈥疉I applications. In鈥痑reas like HR, she continues, removing personal details in data sets might seem to solve鈥痶he bias issues, but AI can still infer these details.鈥疶his leads to potentially鈥痓iased outcomes and the lack of explainability in AI models makes identification of such biases鈥痙ifficult. Letting data sets like this take root and grow into powerful data models not subject to scrutiny will only magnify the inherent bias or discrimination.

Today Mallat鈥檚 passion for addressing such unfairness aligns well with her role of identifying the inherent risks of AI, educating teams about them, and defining technological solutions to mitigate them.

鈥淲e need to adopt an interdisplinary approach to AI, with experts from ethics, legal compliance, and domain experts, for example, and abstract ourselves from the role of data scientists to succeed,鈥� says Mallat.

鈥淚 love working in AI,鈥� she continues. 鈥淓verything is progressing at an incredible pace so if you want to work in AI, you have to have a certain thirst for knowledge. And, regardless of your role, you must take AI ethics 鈥� regulations and regulatory frameworks 鈥� seriously because these have huge implications not only for 疯拍传媒 but for individuals and societies in general.鈥�

AI Ethics

Camila Lombana Diaz, Responsible AI, Germany

鈥淎I is a mirror of our capacities as humans. And the biggest responsibility for those working in AI is, what do we want to see in that mirror?鈥� explains Lombana Diaz, AI ethics research expert in the AI Ethics/Responsible AI team located in the 疯拍传媒 Business AI growth area.

Lombana Diaz鈥檚 responsibilities include maturing and applying the 疯拍传媒 AI Global Ethics policy, creating and delivering enablement content, defining AI personas and processes, and giving guidance to make responsible AI an operational reality for development, as exemplified in 疯拍传媒鈥檚 AI ethics handbook.

When she joined 疯拍传媒 eight years ago, initially as a UX designer and then a strategic designer, machine learning and AI were core topics. But it became increasingly clear to her that 鈥渦nderstanding the human implications of AI for a responsible and ethical AI demands a human-centric perspective.鈥�

Even though 疯拍传媒 is committed to the ethical development of AI 鈥� developers must now complete AI ethics assessment tasks and a steering committee scrutinizes all high-risk use cases 鈥� Lombana Diaz emphasizes the need to remain focused on the inherent risks and unintentional harms that AI may present. Part of her role is an ongoing assessment of the technology, identifying risks and limitations and communicating them to different teams.

As AI continues to evolve at speed, so do the roles. Lombana Diaz is passionate about seeing AI beyond the confines of a technology-centric perspective. 鈥淎I is now an omnipresent technology shaping our daily lives; hence, we need individuals working in the field who challenge AI technology to be community centric. AI ethics is a space for experimental, open, curious, collaborative, and human-centered individuals,鈥� and, she concludes, 鈥渢he time to step into AI and build a career is now because, unlike the technology, the business of AI, the legal and ethical aspects, are still being shaped.鈥�

Data Science Engineering 

Dr. Xin Chen, 疯拍传媒 HANA Machine Learning, China

鈥淚 have always enjoyed working at 疯拍传媒 since joining nine years ago. I like the work environment and the colleagues here and I really want to encourage others to join us here in AI,鈥� says Chen, data science researcher on the 疯拍传媒 HANA Machine Learning team.

The team works on a toolbox providing different kinds of machine learning algorithms for regression, classification, clustering, and so on for the 疯拍传媒 HANA predictive analysis library.

Part of Chen鈥檚 role is investigating research papers on the latest machine learning algorithms and, together with the team, deciding which algorithms would be beneficial to customers. Once the machine learning algorithms are implemented, Chen and the team evaluate feedback from customers and deliver enhancements.

Recently Chen and her team researched machine learning algorithms investigating notions of fairness. 鈥淔airness is a very hot topic just now,鈥� she says. 鈥淚n mathematics, there are different notions of fairness, but it is still a complex and evolving topic.鈥�

And Chen鈥檚 advice to would-be AI developers? 鈥淐ritical thinking will become even more important to understand what solutions to offer, to make judgements on your own innovations, and to know if the generated output is right or wrong,鈥� she says, reflecting on how this skill will become ever more important for future AI developers.

Product Management

Nadine Hoffmann, 疯拍传媒 Business AI, Germany

鈥淚 translate and I want to fascinate,鈥� says Hoffmann, global AI product manager in the 疯拍传媒 Business AI growth area.

Even after more than 20 years at 疯拍传媒, disruptive ideas and mindset shifts still energize Hoffmann. To be an expert in new technologies, and to be energized and enthused by the constant volume and speed of them, is critical to being successful in the AI product management teams of today because product management is the glue between partners, customers, the field, and development.

鈥淥n the one hand,鈥� says Hoffmann, 鈥湻枧拇� has data scientists, software engineers, and researchers taking our software to the next level. And on the other, there are experts defining the legal and ethical guardrails.鈥� Product management must be fluent in both 鈥渢echnical software speak鈥� and 鈥渃ustomer speak鈥� to understand desires, pain points, and business processes.

Pivoting between these and aligning customer speak with technical software speak is akin to being a聽 translator, Hoffmann says. Our software will only meet the requirements of customers if there is a common understanding between the teams responsible for the technological development, the legal teams responsible for ethical and legal compliance, and the customer.

Regardless of the latest innovation, Hoffmann says success in product management is 鈥渘ot only about convincing teams and partners about the ease and positiveness of a technology, but also infusing them with a fascination about it so that they become passionate advocates and are intrinsically motivated to find out more by themselves.鈥�

Data Science Engineering

Puntis Palazzolo, AI Strategist & Ethics Lead, 疯拍传媒 SuccessFactors, U.S.

鈥淭he ethical challenges presented by AI have transcended the scope of individual enterprises, extending beyond entities like 疯拍传媒. It is crucial that we collaborate with others to collectively address AI鈥檚 emerging concerns,” says Palazzolo, who leads the 疯拍传媒 SuccessFactors Data Science team.

The team acts as a consulting service on AI use cases for product teams in 疯拍传媒 SuccessFactors, analyzing the problem, developing code and algorithms, and building proof-of-concepts. Successful AI use cases are then integrated into 疯拍传媒 SuccessFactors solutions.

Much of the data in 疯拍传媒 SuccessFactors solutions is sensitive customer data. With the dramatic increase in generative AI use cases, safeguarding customer data must take precedence, Palazzolo says. 鈥淕enerative AI is a powerful technology that introduces new challenges, such as hallucinations and automated decision-making. In high-risk sectors like HR, we need to explain how we reach certain decisions, especially when we are impacting people鈥檚 lives.鈥�

Palazzolo joined 疯拍传媒 11 years ago and has been based in Palo Alto, California, since 2013, where she represents 疯拍传媒 on 鈥� a collaboration of academia and companies, such as Google and NVIDIA, dedicated to developing safe practices and industry-standard benchmarks to improve AI models.鈥�

Her advice to current and would-be AI practitioners? Follow your passion, be ethical, and make your voice heard while we still have time.

鈥淟egislators alone cannot write AI regulations for us because they do not have a full understanding of its complexities,鈥� she says. 鈥淲e cannot solve all the problems by ourselves, but we must make our voices heard to shape the future of AI.鈥�

Alexa MacDonald is an 疯拍传媒 News editor.

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).

聽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.

With the widened availability of AI, the race for skills is impacting both people and organizations. While people are learning how to use AI to drive more efficiency within their individual roles, organizations are also under pressure to adopt AI technology that can deliver more personalized development opportunities and greater talent intelligence.  

Over the last year, 疯拍传媒 has made significant investments across , specifically in , to deliver these capabilities. 

These investments are part of a broader strategy to help our customers focus on accelerated skills growth and build a future-ready workforce. Recently, we released a redesigned integrated learning experience that can deliver an entirely new way for people to experience learning at work. The highly personalized experience can guide the learner to not only accomplish compliance trainings 鈥� what they 鈥渉ave to learn鈥� 鈥� and organizational goals 鈥� what they 鈥渘eed to learn鈥� 鈥� but also helps to drive an intrinsic culture of learning around what they 鈥渨ant to learn,鈥� tapping into each individual鈥檚 needs, aspirations, interests, or preferences based on their growth profile. 聽

Furthermore, the AI-powered talent intelligence hub is now available across all 疯拍传媒 SuccessFactors solutions. It is a framework that helps organizations understand the skills their employees have today, the gaps that exist, and how to close those gaps. With this intelligence, 疯拍传媒 SuccessFactors Learning can continue to deliver even more personalized learning and development recommendations. 

鈥淭he level of innovation within the learning systems market continues to accelerate rapidly 鈥� specifically around AI and skills,鈥� said David Wilson, founder and CEO of Fosway Group. 鈥淎s a major vendor in this space, 疯拍传媒 continues to invest significantly in innovating its learning and talent capabilities, reflecting its focus on enhancing the value it delivers to learning buyers as well as its wider HCM audience.鈥� 

Both multinational and midsize companies leverage , along with our partner ecosystem, to help drive upskilling and reskilling and create a culture of continuous learning.聽

San Pablo Farmacia, a Mexico-based pharmacy retail chain, created an intuitive and engaging training experience that employees can consume at their convenience. By integrating the learning solution with other talent management applications, it can design personal training and development plans in line with its growth strategies and the individual needs of the entire workforce. The company delivered certified training to 1,800 employees without the need to transport its people to a training location and take them away from their pharmacy stores.聽

Delta is also embracing AI to drive upskilling and personalized development opportunities. 鈥淲e are incorporating disruptive technologies like our AI-driven skills ontology that automatically incorporates industry trends with embedded intelligence,鈥� said Tim Gregory, managing director of HR Innovation and Workforce Technology at Delta. 鈥淲e can say which skills are most important to Delta Air Lines and the employee can easily combine those with their current capabilities, strengths and styles, and aspirations to create a personal career path. All of the content is based on Delta-specific skills and personalized to each employee鈥檚 career goals.鈥�  

Looking ahead, we will continue to deliver more learning-specific enhancements and new AI capabilities throughout 2024 across all 疯拍传媒 SuccessFactors solutions so leaders can hire the best talent and grow their personal skills with individualized plans while building up the compliance and strategic skills needed by the organization.  

Vinita Venkatesh is vice president of Product Management for 疯拍传媒 SuccessFactors Learning. 

“At 疯拍传媒, ethics has been part of our research and development of artificial intelligence from the very beginning,” Wieczorek, head of AI Ethics at 疯拍传媒, says. “Every development in the area of AI is deeply aligned with 疯拍传媒鈥檚 values.”

The Beginnings of Artificial Intelligence at 疯拍传媒

Wieczorek was part of 疯拍传媒鈥檚 first AI unit, founded in 2014. “In addition to the technical and product tasks, we have always considered the ethical aspect of our work from the beginning,” he says.

疯拍传媒 was the first European company to define guidelines for dealing with AI and set up a corresponding advisory panel. Wieczorek’s work has always had a technical focus, but he has also been a member of the 疯拍传媒 AI Global Ethics steering committee, a member of the Enquiry Commission on AI in the German Bundestag, and has reported on the uses of artificial intelligence at the EU Parliament.

疯拍传媒 initiated internal processes early on to formulate an approach to ethically unobjectionable AI, which ultimately led to the 疯拍传媒 AI Global Ethics policy.

To address ethical questions, experts must possess deep knowledge about AI technology and also be willing and able to engage in philosophical and moral questions as well as the legal side of technology.

“Our work in AI ethics is somewhat similar to that of a translator,” Wieczorek says. “Technological realities and possibilities have to be 鈥榯ranslated鈥� into the language of philosophy, sociology, and law. The results must then be 鈥榯ranslated鈥� back into technological requirements, so that a constant exchange between the two areas is achieved.”

The Role of Humans

Currently, AI systems cannot develop a motivation of their own or a concept of themselves or the world 鈥� never mind considering, on their own initiative, how to best optimize this world.

“Their purpose and tasks are determined by humans,” Wieczorek emphasizes. “What humans no longer do is define the exact implementation of the task.”

As always, when tasks are delegated 鈥� whether to machines or other people 鈥� it must be ensured that certain rules regarding fairness, transparency, and human participation rights are adhered to in their execution.

“We know less about how decisions are ultimately made when it comes to AI than we do when it comes to conventional software,” Wieczorek says. “Therefore, we must keep the possibility open to intervene if this automation does not work in certain cases as we want it to.”

What such an intervention looks like in individual cases can be quite varied, as the software as a whole and not just individual components must be considered.

The most well-known example of discrimination by intelligent software is the exclusion of historically underrepresented groups in job application processes. The historical data with which the AI is trained may reflect the biased selection criteria of the past. Therefore, it is theoretically possible that the AI may adopt and reproduce these biases for its own selection process.

“Side effects of this kind can occur relatively quickly on a large scale due to the high automation potential of AI software,” Wieczorek says. “Therefore, we must set high standards for the type and manner of automation and have the ability to limit side effects and efficiently reverse them.”

Guidelines for training data sets are neither the only leverage nor a guarantee of maximum fairness.

“There is a chain of things to consider,” Wieczorek says. “The system as a whole must be able to provide guarantees that the evaluation is fair 鈥� its behavior must be impeccable in the overall view.”

A Dedicated Ethics Review for Every AI Use Case

“In the 疯拍传媒 AI Global Ethics policy, it is stipulated that all of our products and solutions that use AI must be monitored from an ethical perspective 鈥� both during the development phase and later, when they are already on the market,” Wieczorek says.

Each AI use case is therefore subject to a separate review, which includes declarations from the product teams on how the use case complies with the guidelines of the 疯拍传媒 AI Global Ethics policy.

After their definition, all use cases undergo a classification process. However, if use cases, for example, make automated decisions that affect people or process personal data, they are automatically considered sensitive and are classified high risk.

“Such use cases then undergo a mandatory review process, which is continuously accompanied by experts, for example from my team,” Wieczorek says. “This way, each individual case is systematically checked for risks, in order to then decide, if necessary, what measures need to be taken to implement the ethical standards prescribed by 疯拍传媒.”

Does the Use of AI Limit Human Responsibility?

Routine tasks taken over by AI are most often already automated to a degree and do not have to be formulated anew every time. But as increasingly personalized tasks are also being taken over by AI, such as through chat interactions, the individual user鈥檚 responsibility grows.

Wieczorek sees a shared responsibility between the AI developer and the user. “Especially with tasks that affect people and have human consequences, we will not shift the responsibility to the products,” he emphasizes.

Those providing an AI application are obligated to provide transparency about its behavior and to clarify what it was designed for 鈥� and what it was not designed for.

This in turn allows users to take on their own responsibility: tasks assigned must adhere to ethical principles and the results must be verified, rather than simply accepted.

It is particularly important for people to still be able to intervene in the functioning of the systems in case an undesired side effect, such as unfair behavior of the system, becomes apparent over time.

“It must always be ensured that humans can review, question, and possibly reverse the decisions made by the AI,” Wieczorek says. “This is the responsibility of the manufacturers of AI systems, as laid out in the 疯拍传媒 AI Global Ethics policy.”

Learn more about 疯拍传媒鈥檚 approach to ethical AI:

around the globe navigate economic and geopolitical shifts for decades, enabling transformation and infusing intelligence into their operations. Today, 疯拍传媒鈥檚 tailored solutions remain the nervous system of modern Western defense. Drawing insights from discussions at MSC, we see three crucial steps to ensuring NATO, the European Union, and the broader defense sector are ready for the digital age.

鈥淒igital transformation and the secure exploitation of data will comprise the bedrock of European defense establishments鈥� future military power; they will need to make significant progress in these areas before European defense can seriously consider the operational integration and battlefield deployment of advanced technologies like AI.鈥�

, International Institute of Strategic Studies

Adopting Cloud

Cloud adoption is critical for organizations looking to be more agile, innovative, and competitive because cloud applications offer unparalleled flexibility and scalability. With dynamic and secure cloud-based applications, defense organizations can increase collaboration between agencies; quickly manage, analyze, and share vast amounts of data; and manage complex design, simulation, and engineering tasks so they can deploy their resources most efficiently. Cloud also revolutionizes the way defense forces utilize data as a strategic asset. Since the cloud facilitates the integration of advanced technologies such as artificial intelligence (AI), machine learning, and data analytics, the defense sector can gain actionable insights from diverse data sources that enhance their readiness and operational effectiveness.

Despite the clear benefits of cloud, there are challenges to cloud adoption due to varying requirements between countries and defense organizations. However, these challenges are not insurmountable. Working with the world鈥檚 leading defense organizations, including 21 North Atlantic Treaty Organization (NATO) nations, 疯拍传媒 has the knowledge and experience to help the defense sector effectively navigate modernization. By facilitating dialogue between countries and organizations like NATO and the EU, we can work to harmonize approaches that help pave the way for widescale cloud adoption and can strengthen both security and interoperability.

Embracing Artificial Intelligence

Advancements in AI have unlocked the potential for game-changing operational efficiencies and new strategic advantages. AI can ensure logistics and supply chain operations are efficient, agile, and resilient by forecasting demand, optimizing transportation routes, and managing inventory.

疯拍传媒鈥檚 AI capabilities can support the defense sector in predictive maintenance, quality control, supply chain optimization, and overall operational efficiency. The MSC discussions came in a timely manner as 疯拍传媒 teams are currently discussing AI use cases with NATO and the defense forces at the

AI can help ensure private and public organizations are more intelligent and resilient, but AI must be relevant, reliable, and responsible. With , customers can realize the full value of AI because it is built with the highest concern for security, privacy, compliance, and ethics and connected to 疯拍传媒鈥檚 wealth of enterprise data.

Increasing Digital Collaboration and Interoperability

Given the multinational and multifaceted nature of the defense sector, digital collaboration can expedite the product development lifecycle and enhance the efficiency of operations and supply chains by enabling real-time communication and coordination. Cloud-enabled digital collaboration tools, such as , can be crucial for achieving interoperability among allied forces as they enable seamless communication and data exchange between diverse systems and platforms. The fact that a significant majority of NATO, EU, and key partners鈥� defense forces run on 疯拍传媒 makes us “allied by design.” The automotive industry set a good example of what digital collaboration can look like with Catena-X 鈥� an inspiration for 鈥淒efense-X鈥� to enable digital collaboration of the sector from the factory to the foxhole.

The ability to truly modernize the defense sector hinges on its ability to adopt the cloud, embrace AI, and achieve greater collaboration and interoperability. However, the disparate regulatory landscape remains an impediment to modernization efforts and poses challenges to global cloud adoption. Harmonizing regulatory requirements is key to ensuring a cohesive and standardized approach. 疯拍传媒 is ready to help unlock the transformative capabilities of cloud and AI technologies effectively for defense forces and lead the dialogue across NATO and the EU together with defense clients, partners, and regulators.

Peter Selfridge is global head of Government Affairs at 疯拍传媒.

Consider this: your business implements new software intended to speed up processes but finds out that your processes are instead stalling. Why? Because your employees never fully adopted the solutions. Now you may ultimately decide to stop using that software. To avoid this scenario, more and more software vendors are turning to an adoption-focused mindset that empowers customers to make the most of their software investments.

In fact, . Yet, only one-third of software vendors on the market have a documented adoption framework to assess how well specific customers are adopting their technology. Enter telemetry, which can help organizations make more informed decisions, optimize business processes, and realize the full potential of emerging technologies.

Telemetry Helps Us Help You

Telemetry often refers to the automatic collection of data measurements from physical equipment. Telemetry has had profound impacts on Industry 4.0, as it鈥檚 adopted by not only manufacturers but also by any business that uses virtually any kind of equipment. But with the advent of artificial intelligence (AI) and its seamless integration into many cloud applications, companies from all industries can consume AI-driven insights and capabilities. These innovations are transforming the way businesses operate, creating new opportunities, and driving efficiencies.

Increasingly though, telemetry is also helping software vendors gather data on the performance and use of their customers鈥� deployments of their software. This includes 疯拍传媒. Just like Industry 4.0 data analytics help your business optimize equipment, telemetry from your 疯拍传媒 software helps us see where you could best use our solutions to meet your unique goals, how it can be optimized, and where further enhancements may be necessary.

The ever-expanding landscape of intelligent software and next-generation technology has opened many new doors for businesses, but all these opportunities can be overwhelming and even confusing. Telemetry empowers software vendors 鈥� including 疯拍传媒 鈥� to help their customers understand the full potential presented by new software solutions.

Telemetry-Driven Customer Success

Telemetry is a game-changer in the realm of customer success. It provides a more accurate, near-real-time look at how software investments are performing. For software vendors, telemetry鈥檚 greatest advantages to help our customers include:

• Identifying user patterns: Telemetry can provide a real look at user behavior with our software. By tracking navigation patterns and time spent on specific tasks, we can gain a comprehensive understanding of how your users work every day 鈥� and how they should work instead. With this insight, businesses can make data-driven decisions to enhance user experiences and drive greater adoption, which drives greater value.
• Optimizing business processes and performance: Using telemetry, we can see how your software is performing across environments. It helps us discover process bottlenecks, frequently occurring errors, and system resource usage. With these insights, we鈥檙e better prepared to help you find out what processes simply aren鈥檛 working and why.
• Analyzing feature use: Find out what features are most popular among your users 鈥� and which ones aren鈥檛. Using this information, we can encourage users to take advantage of the features you鈥檝e implemented or implement new ones that help users work more efficiently.
• Predictive analytics: Telemetry data can be leveraged to create predictive models, anticipating potential issues or opportunities before they arise. This can help businesses stay one step ahead, ensuring smooth technology adoption and minimizing disruptions.

Telemetry serves as a source of 360-degree signal interpretation, and it provides you with opportunities for intervention in the moments that matter most. Building off the above benefits, you can use telemetry to take advantage of predictive analytics for feature development, feedback-driven iterations, and customized user training.

Bridge the 鈥淗ype-Reality鈥� Gap

Telemetry and data analysis are helping us help our customers solve arguably the greatest threat to solution adoption: the 鈥渉ype-reality鈥� gap. Often, businesses hype up their latest software investment to users, claiming they鈥檒l save employees time and effort. But when users don鈥檛 see results, they get disappointed 鈥� and they stop using the new software. Telemetry, by providing insight into how real users have been using your new software, is a critical way to show real-time results and get the entire business on board.

In addition, telemetry builds on the increasing value of partnership between software vendors and their customers. By harnessing the power of real-time insights right from our customers鈥� own deployments of our software, we鈥檙e better prepared to steer the future of our software toward outcomes that support our customers. As organizations combine telemetry with advances in generative AI, they have a powerful tool at their disposal to drive customer technology adoption and success with data-driven insights.

Claudio Muruzabal is chief business officer at 疯拍传媒.

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.