Planting Cutting-Edge Academic Expertise into the Heart of SAP HANA Technology

Generations of PhD students have passed through SAP’s HANA Campus, located at company headquarters in Germany. Arne Schwarz, who runs the campus, has been there every step of the way.

Arne Schwarz

For more than 20 years, the HANA Campus has been home to PhD students applying research to SAP HANA and, more recently, other technologies.

As demands on technologies change — the first customers for SAP HANA went live in 2010, seven years after the HANA Campus welcomed its first PhD student — so has its name.

“What name should I give it?” muses Schwarz, explaining how prevailing technologies and circumstances have forced name changes over the years, including “The Campus,” “The Research Campus,” “The HANA Research Campus,” “The Student Campus,” or even “The HANA Database and Analytics Campus.”

But while its name may change, its mission remains the same: to help satisfy the demand for high-tech research, primarily for SAP HANA but also for SAP Analytics Cloud, SAP Business Data Cloud (SAP BDC), Global Cloud Infrastructure Services, and SAP Business Technology Platform (SAP BTP).

What makes the HANA Campus unique?

To date, the HANA Campus has been home to more than 40 PhD students, mostly matriculated at universities in Germany, who have successfully defended their dissertations grounded in research at SAP. Or, to put it another way, PhD students have collectively contributed decades of applied research focused primarily on SAP HANA.

Bringing academic innovation into the product comes in different flavors at SAP. On the one hand, PhD students can be recruited directly to SAP and tasked with researching a predefined topic. On the other, SAP funds university chairs, such as the recent Hasso Plattner Endowed Chair in Artificial Intelligence, and research projects with academia.

PhD students arrive at the HANA Campus via SAP-funded research projects with academia. The campus is unique, according to Schwarz, due to “the sheer mass of research projects executed over the years and the fact that the dedicated space in Walldorf acts as a safe haven for PhD students.”

Students assigned to the HANA Campus work on-site at SAP, get a feel for life at the company, and have direct access to development teams and test environments. The contract for the research projects with academia also frees PhD students from university teaching obligations. It is also important to note that PhD students do not belong to a specific development team, avoiding the risk of their research being deprioritized in the face of operational pressures. At the HANA Campus, PhD students can focus all their efforts on their research and studies.

It all began with a knowledge gap

Bringing academic expertise in-house for HANA started back in 2003, Schwarz explains, in the era of TREX, a search engine in SAP NetWeaver. TREX was the forerunner of SAP Business Warehouse Accelerator, which ultimately led to the SAP HANA database. Engineering teams were under intense pressure to quickly build and deliver the emerging technology of in-memory database.

However, Schwarz explains, a knowledge gap was threatening to slow everything down: there were only two or three engineers who had the knowledge to drive the technology forward, but they didn’t have the bandwidth to do so. With an ever-increasing number of teams requiring specialist knowledge, the threat of a slowdown in development was becoming more real by the day.

As luck would have it, Wolfgang Lehner, professor at the Technical University (TU) Dresden, was also researching the same technology. A mutually beneficial partnership was born: SAP offered a cutting-edge research opportunity for students, and Professor Lehner’s students could bridge the knowledge gap with academic expertise. The potential obstacle was overcome, and research projects with academia and PhD students continue to augment the technological knowledge and expertise that powers SAP HANA and other SAP technologies to this day. 

Since that first research project with TU Dresden, the HANA Campus has collaborated with many more universities. “Collaborations with the universities are always limited to the timeframe set out in the original research contract,” Schwarz says, clarifying that the driver for selecting a university is the fit of current research topics to SAP’s technological requirements and not past collaborations.

Talent pipeline and “a foothold in academia”

The HANA Campus is a “win-win” for both SAP’s talent pipeline and PhD students.

Many students choose to stay at SAP once they have defended their thesis and been awarded their PhD. The teams know the value of their PhD research and the PhD graduates know what life is like at SAP.

Even those PhD graduates who do not stay at SAP remain, for the most part, in data management and analytics development; they either join other companies or take a postdoc position. Their ties to the company “give SAP a foothold in academia as well as advocates and a more direct route to research projects,” Schwarz confirms.

Through Schwarz, the HANA Campus also supports SAP’s participation at academic conferences, another tool to strengthen academic connections, PhD student recruiting, and SAP’s technological reputation. In June of this year, HANA Campus provided a venue for a workshop at the SIGMOD/PODS International Conference on Management of Data. Sponsoring and participating in these conferences, Schwarz says, “is pivotal to getting access to the inner circle of academia, strengthens SAP academic connections and reputation, and allows SAP to share and augment research findings with other experts from academia.”

Find out more

Twenty-two years in and 40 dissertations later, SAP’s HANA Campus continues to be home to the next generation, welcoming two more PhD students later this year to deepen research around SAP HANA as well as SAP BTP and SAP BDC.

A vast collection of publicly available scientific publications about SAP HANA Database and Analytics, dating from 2006 to the present day, is available on GitHub here.

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SAP Recognized as a Visionary in 2025 Gartner® Magic Quadrant™ for Enterprise Low-Code Application Platforms

Gartner has recognized SAP as a Visionary for the second consecutive year in its 2025 Magic Quadrant for Enterprise Low-Code Application Platforms (LCAP) with SAP Build, its unified low-code platform.

SAP Build: Develop apps and automations 3x faster using pro-code, low-code, and AI tools

In today’s market, speed is everything, but it cannot come at the cost of stability. Low-code application platforms empower both professional and citizen developers to rapidly create and deploy digital solutions through guided development, automation, and robust governance, fostering innovation and agility.

SAP Build is uniquely designed to solve this challenge, empowering customers to innovate three times faster while building on the trusted governance and data foundation of their core SAP systems. It is an AI-powered solution that combines application development, workflow management, task automation, agent development, and workspace creation into one comprehensive, cloud-based solution running on the SAP Business Technology Platform (SAP BTP).

Strategic challenges in modern software development

Developers today face several significant challenges. First, it is difficult for many organizations to leverage the deep insights from non-technical business experts across functions like finance and supply chain. While AI is a powerful new tool, efficacy of AI solutions hinges on their integration with business-specific data and processes; without this, its broader benefits are diminished. Building or extending business applications is often time-consuming and expensive, prompting a shift toward customizable pre-built solutions for greater agility. Finally, developers grapple with fragmented systems requiring extensive integration, hindering efficient workflows and resource utilization.

These challenges collectively underscore the need for a more robust AI-powered development platform.

The SAP Build advantage

SAP is recognized in the 2025 Gartner Magic Quadrant for LCAP for its Ability to Execute and Completeness of Vision.

SAP Build offers unique benefits that streamline the development process and ensure innovative and efficient solutions. Read the full report here.

  • Reduce complexity: SAP Build reduces complexity by delivering everything IT teams need to build, automate, and extend SAP without stitching together disconnected tools, licenses, or architectures in one place. It is pre-integrated, commercially included in SAP applications, and built to simplify development from the start
  • Deliver faster: SAP Build helps teams deliver 3x faster by reducing the time it takes to go from request to result. Teams don’t start from zero, and once they start, they move faster, because the tools, pre-built solutions, and AI are grounded in SAP context and give best-practice guidance out of the box.
  • Scale with confidence: SAP Build provides the proven path to a clean core, allowing users to confidently extend, automate, and build new applications without introducing future risk or upgrade pain. By inheriting the trusted governance, security, and access rules from the most critical systems, every extension is built to be both scalable and upgrade-safe from day one. This unique approach empowers users to protect the stability of their core while accelerating business-wide innovation.

Tap into the power of generative AI

SAP is embedding AI capabilities across the SAP Business Suite, including SAP Build, to help customers automate business processes and improve efficiency.

Now generally available, Joule Studio allows users to design, deploy, and manage custom AI agents and Joule skills tailored to their organization’s data and workflows, helping address specific operational needs. SAP has also extended Joule to process automation, workspace management, and application development, including ABAP, through the SAP Joule for Developers add-on.

These tools use SAP-aware AI models to support faster, more accurate development and automation. Together, these enhancements help teams reduce manual effort, improve consistency, and focus on higher-value work.

Businesses gain a competitive edge with SAP Build

With more than 17,000 customers now leveraging SAP Build solutions globally, momentum continues to surge, enabling developers to build, automate, and innovate with greater speed and ease.

Proximus, for example consolidated 57 HR apps into one unified portal using SAP Build, integrated with SAP SuccessFactors software to serve 10,000 employees and increasing satisfaction to 94 percent. Hitachi High-Tech cut customizations from 9,000 to 22 by shifting to side-by-side extensibility on SAP BTP using SAP Build Process Automation for cross-system workflows and task automation. And Gerdau reduced onboarding time by 50 percent and cut manual errors by 90 percent with a cloud-based extension made with SAP Build, integrated into SAP SuccessFactors Employee Central.

Next steps

To learn how SAP Build adds value to your cloud ERP, explore use cases that address specific challenges in business processes. To unlock the full potential of application development, automation, and AI, take the next step with the following resources:


Bharat Sandhu is chief marketing officer for SAP BTP at SAP.

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E.ON Digital Technology’s Cloud ERP Journey: Driving Transformation Through Speed, Trust, and Agility

E.ON Digital Technology, one of Europe’s largest energy companies, operates across energy distribution networks, infrastructure solutions, and retail. As the company grew, so did the complexity of its data and operations. Legacy ERP systems, combined with decentralization and ambitious green transformation goals, could no longer keep pace.

Cloud ERP: Be ready to seize opportunities and secure success with an integrated suite of solutions

The solution was clear: implement a cloud-based ERP architecture designed to adapt, scale, and drive a full-scale transformation.

Building strategy on speed and people

E.ON Digital Technology’s move to the cloud was never about chasing modernity for its own sake, but about seizing control in a fast-moving world. The company understood that transformation is not only about technology; it’s about people and their needs.

Together with employees, E.ON Digital Technology crafted a strategic vision to keep pace with rapid technological change while empowering teams to deliver real solutions. At the core of this transformation was the Digital Lighthouse Project, which became the guiding force through the complexities of digitization.

As Athanasios Tabakis, the lead of the Digital Lighthouse technology at E.ON Digital Technology, explained, “We’re not just implementing isolated solutions; we’re building a platform that integrates speed, planning, reporting, cost transparency, and AI into one seamless ecosystem.”

This cloud ERP foundation shattered old habits, igniting true transformation by putting agility and speed at the heart of the business.

Today, E.ON Digital Technology boasts an intuitive, adaptive, finance-first design, built around how people actually work. The company’s guiding principle remains unchanged: transformation doesn’t start with systems; it starts with trust and clarity.

Max Englisch, manager of Finance Transformation at PwC Germany, emphasized the human and scalable nature of the project: “This has never just been about technology. It was about creating a vision that scales, brings people in, and drives real impact — not only for E.ON Digital Technology, but also across the entire company.”

PwC Germany continues to support E.ON Digital Technology in rolling out this vision, ensuring the Digital Lighthouse remains a catalyst for change.

Beyond technology: culture, process, mindset

Standardizing across a complex group like E.ON Digital Technology involves far more than technical upgrades. It requires navigating cultural, operational, and political layers. The S/4 United Program, the backbone of Digital Lighthouse, launched the company’s journey toward SAP S/4HANA Cloud Private Edition as the “mother ship” guiding the entire enterprise.

Innovation layers were carefully added on top to balance strategic consistency with the flexibility to differentiate. Early work focused on identifying where processes could deliver efficiency and value, laying a solid foundation for future-proof operations. As Tabakis put it, “The future of ERP is invisible. It anticipates your needs, speaks your language, and acts when it truly matters. It is not just digital; it is almost human.”

E.ON Digital Technology’s transformation challenges the entrenched mindset of “this is always how we’ve always done it.” In a heavily regulated and complex energy sector, data consistency is critical for both compliance and for confident decision-making. By building a semantic layer aligned with business logic, the company moves from fragmented inputs to coherent, faster decisions with increased accountability.

“Success comes from those who relentlessly pursue their vision until it becomes a reality,” Englisch added. “That’s exactly what E.ON Digital Technology has achieved.”

E.ON Digital Technology embraces AI and flexibility for the future

E.ON Digital Technology’s innovation journey did not stop at cloud ERP. Early adoption of generative AI transformed data into conversational insights. Now, the company is advancing toward agentic AI, where AI proactively supports decision-making by alerting teams to deviations and nudging interventions before the issues arise. In energy finance, where timing is everything, this responsiveness is a game changer.

Trust in AI remains paramount. Tabakis noted that “true confidence in AI comes when it aligns with how people think and work. Our mission is to build that trust step-by-step, helping people see AI not as a threat, but as a powerful ally to accelerate their work.” This human-centered approach is essential in a world where half embrace AI’s promise and half fear its impact.

The energy transition itself demands agility. Renewables introduce volatility, and new consumption patterns like heat pumps and electric mobility add complexity. The grid must balance supply and demand in real time, pushing E.ON Digital Technology’s business units — and adding their IT teams — to stay flexible.

To manage this, E.ON Digital Technology relies on SAP Profitability and Performance Management, a real-time financial management engine that mirrors actual usage, supports dynamic modeling, and scales with demand within the ERP. This technology allows the company to trace billions in value flows accurately and auditable, ensuring flexibility and compliance go hand in hand.

Englisch summarized the future vision: “The future of ERP lies in creating an open, connected data foundation that integrates SAP and non-SAP sources, enabling scalable data products and AI-ready architectures. It’s about moving beyond process efficiency to real-time insights that empower business users to unlock true value.”

E.ON Digital Technology’s transformation journey shows how cloud ERP, combined with human centered approach and cutting-edge AI, can drive speed, trust, and agility in the complex, rapidly evolving energy landscape. It is a blueprint for how companies can not only adapt but also lead in the digital age.

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SAP Named a Leader in Business Intelligence and Analytics Platforms

The business intelligence (BI) and analytics market is undergoing a significant transformation, driven by rapid advancements in generative AI and the demand for more intuitive, integrated data experiences.

SAP Business Data Cloud: Amplify the value of AI with your most powerful data

A trusted data foundation is critical in the age of AI. But in a global survey of 1,200 business and technology leaders, 55 percent cited poor data quality as their biggest challenge. And nearly half struggle to harmonize data across multiple ecosystems.

SAP Business Data Cloud offers organizations a fully managed SaaS solution that unifies and governs SAP data while seamlessly connects with third-party data. This data platform gives organizations the tools they need to make even more impactful decisions and insights across all lines of business.

After only eight months in the market, leading analyst firms have given SAP Business Data Cloud high marks for its analytics and BI solutions, primarily SAP Analytics Cloud.

SAP recognized as a Leader in the IDC MarketScape: Worldwide Business Intelligence and Analytics Platforms 2025 Vendor Assessment

IDC MarketScape provides in-depth quantitative and qualitative technology market assessments. The evaluation highlights the most influential factors for technology buyers that want to introduce, modernize, or replace business intelligence and analytics tools within their organization.

“Organizations are constantly striving to engage in data-driven decisions,” said Megha Kumar, research vice president, Analytics and AI, IDC. “This need for insights across the board puts pressure on data and analytics teams. This will result in organizations seeking capabilities around automation, GenAI, and agentic AI features within their business intelligence and analytics platform. It is also important that these insights are available in the flow of work to allow for improved collaboration and decision velocity.”

IDC MarketScape recognizes SAP as a Leader for the following strengths:

  • Focused on integrating data from SAP and non-SAP sources and enabling customers to engage in analytics, planning, and AI in a single environment
  • Solution designed to support both technical and nontechnical users, with self-service analytics, ad hoc data exploration, and embedded analytics experiences within business applications
  • Features such as zero-copy data integration and focused on expanding the ecosystem beyond traditional SAP data sources

Read an excerpt from IDC’s report with additional details here.

SAP named a Market Leader in BARC Score Enterprise BI & Analytics Platforms, 2025

The BARC Score report assesses solutions that fulfill a broad set of BI and analytics needs. BARC named SAP a Market Leader, citing the following benefits:

  • Integrated business-user-oriented solution for planning and analytics — with embedded functionality for augmented analytics and application design
  • Smart features and natural language generation functions help users to dig deep into data sets quickly by surfacing trends and outliers automatically
  • Exclusive connectivity, live access, embedded analytics, and prebuilt content available for SAP sources and applications speed up implementation and help to gain insights from these systems
  • Capabilities to govern master data and align KPIs across an organization
  • Flexible options for product usage with multi-tenant or private tenant options for deployments in the public cloud on AWS, Azure, Alibaba, and GCP

Read BARC’s full report here.

This recognition from both the IDC MarketScape and BARC reinforces the pivotal role of SAP Business Data Cloud in empowering organizations to become truly data-driven.

By providing a unified, intelligent, and scalable platform that fuels business AI, SAP continues to set the standard for modern data and analytics, ensuring customers can derive trusted insights and drive decisive actions in an increasingly complex business landscape.


Dan Yu is chief marketing officer for SAP Business Data Cloud at SAP.

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Using AI for Transformative Supply Chain Planning from Farm to Table

As a global leader in the food industry, BRF is renowned for its commitment to quality and innovation. Recently, the food giant won the SAP Innovation Award in the category Cloud ERP Champion and Industry Leader with its supply chain management solution based on SAP Integrated Business Planning (SAP IBP).

By using AI and advanced analytics, BRF managed to improve forecast accuracy, optimized inventory, and fine-tuned planning. Collaborative forecasting and real-time data alignment now increase operational efficiency, enabling BRF to manage its extensive operations in over 127 countries and adapt quickly to changes in these markets. 

About BRF

Headquartered in Itajaí, Brazil, BRF owns well-known brands such as Sadia, Perdigão, and Qualy and employs nearly 100,000 people. The company’s dedication to sustainability and excellence has made it a trusted name in households around the world.

Project outcomes that scale

With 44 production units, 103 distribution centers delivering more than 500 million deliveries per month to more than 415,000 customers, representing 5 million tons of food produced per year, the scale of the achieved improvements is immense.

“BRF is transforming efficiency and productivity standards in the production chain, developing solutions that make processes more agile, simple, and efficient,” said Gilberto Andretta, executive technology manager at BRF. “We are one of the leading SAP IBP organizations achieving daily demand planning and sensing, statistical modeling, forecast accuracy and embedded analytics, time-series analysis, and exception management, which is integral for our more than 400 planners.”

By using SAP IBP, the process of accurately accessing and analyzing demand and forecast data is 33 percent faster.

Award-winning solution

For BRF, seeking innovative solutions is essential to advancing digital transformation and driving growth. The company considers the use of AI as fundamental to overcoming supply chain management challenges.

“The transformation of BRF’s supply chain through SAP solutions has made it easier to integrate processes, predict future trends, and respond quickly to market needs,” said Miriam Hahn, customer success manager for SAP Brazil, who is working with BRF on its supply chain journey. “This journey highlights the strong partnership between SAP and BRF.”

Using SAP Integrated Business Planning for Supply Chain, BRF can now analyze vast data sets, improve forecast accuracy, monitor order trends, and enable proactive decision-making.

Ensuring that forecasts and delivery deadlines are accurate requires detailed and flexible planning, enabling a quick response to changes, increasing operational efficiency and accuracy. Additionally, consolidating real-time information, aligning financial and operational planning, and improving interdepartmental collaboration are fundamental steps for BRF’s operation.

Use of artificial intelligence

BRF is a recognized early adopter of SAP Business AI and SAP’s AI copilot Joule. By integrating AI-driven insights, the food giant can accurately forecast demand, optimize inventory levels, and ensure timely delivery of products. This advanced technology helps BRF anticipate market trends, adjust production schedules, and reduce waste — ultimately leading to improved efficiency and customer satisfaction.

Within SAP IBP, BRF is utilizing demand planning and sensing, statistical modeling, forecast accuracy and embedded analytics, time-series analysis, and exception management. Examples where AI is improving the business include:

  • AI algorithms combine traditional time-series forecasting, regression and predictive modeling, and machine learning to produce more precise daily forecasts.
  • Used for master data analytics, AI intelligence improves data quality, enhances the planning processes, and supports better decision-making.

More to come

BRF is among the first customers to successfully incorporate SAP IBP with Joule to leverage the SAP Help Portal and a chatbot to assist BRF employees.

Currently, BRF is deploying a “brownfield” SAP S/4HANA Cloud implementation upgrade of the existing SAP ECC system based on its successful established SAP environment. The company is in the process of incorporating SAP S/4HANA Cloud features and capabilities, while retaining much of the existing infrastructure and core data services. In addition to SAP S/4HANA and the cloud-based SAP Ariba solution for procurement, BRF is also running SAP SuccessFactors software for human capital management (HCM).

“BRF is an early adopter for many of SAP’s AI services and our strategic partner in the region,” said Caio Granzotto, account director for BRF at SAP Brazil. “As a next step, they plan to use SAP IBP’s AI assistant to improve supply chain processes and simplify the work of their planners. The company is also considering order-based planning using additional AI algorithms.”

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From India to the World: SAP Labs India Opens Second Campus in Bengaluru

This month, we marked a defining milestone not just for SAP in India, but for the company globally. With the inauguration of SAP Labs India Innovation Park, we have added a new chapter to our 27-year journey in India — a journey shaped by innovation, guided by purpose, and powered by the incredible potential of India’s talent.

The SAP Labs Network exemplifies SAP’s culture of innovation throughout the world

Strategically located near the Bengaluru International Airport, this is now one of SAP’s largest campuses worldwide, designed to house more than 15,000 professionals. But this is more than just a campus; it’s a statement of intent — a €194 million investment into the future of innovation.

As SAP’s largest R&D hub outside Germany, India plays a pivotal role in how SAP innovates, builds, and scales enterprise technology for our global customers. From pioneering AI solutions and next-gen applications to delivering mission-critical services at scale, teams in India sit at the very heart of SAP’s transformation agenda.

This new campus — our second in Bengaluru — is a space designed to match that ambition.

At the inauguration ceremony, held August 5, I was joined by SAP Executive Board Member Thomas Saueressig; SAP Supervisory Board Member Gerhard Oswald; Clas Neumann, head of the SAP Labs Network; Karnataka Chief Minister S Siddaramaiah; Government of India IT Minister Ashwini Vaishnaw; Karnataka IT Minister Priyank Kharge; and German Ambassador to India Dr. Philipp Ackermann, along with other key stakeholders from the region. 

Where innovation meets purpose

Each square foot of the innovation park has been crafted with intent. At the core of the design is a belief that innovation thrives in environments that foster trust, collaboration, and well-being. From our fully autonomous S.Market, an AI-powered micro-market showcasing SAP retail solutions in real time, to India’s second SAP Experience Center location, where customers can engage with live enterprise scenarios, this campus is a living laboratory of SAP technology in action.

“This campus is a strategic asset in SAP’s global portfolio, enabling us to lead with innovation and purpose,” Saueressig, said. “It is a global innovation hub that will help our customers move from insight to action with enterprise-grade AI, data, and application created right here in India.”  

Equally, this campus reflects SAP’s deep commitment to sustainability and inclusion. A 2.5-acre eco-pond for rainwater harvesting, solar infrastructure, and smart waste management all help reduce our environmental footprint. Inclusive design features such as tactile pathways, braille signage, auditory cues, gender-neutral restrooms, and wellness-focused spaces — from sensory rooms to nap pods — ensure individuals are empowered to thrive.

Accelerating talent and research partnerships

As we celebrated the launch of this new campus, we also reaffirmed our commitment to shaping the future workforce and research ecosystem.

We announced the AI Career Accelerator program in partnership with EduBridge, aimed at training more than 400 students from underserved communities for AI roles. We expanded our academic collaborations with institutions like Gati Shakti Vishwavidyalaya, IIT Madras, and the Technical University of Munich to focus on applied research across quantum computing, health tech, and physical AI.

These partnerships are not just about knowledge transfer; they are about co-creating the future of enterprise technology by fusing academic rigor with real-world impact.

India’s role in SAP’s global innovation engine

India’s technology story is unlike any other — it is not only about scale; it’s about transformation. From government digital initiatives to startup ecosystems and from deep-tech research to the democratization of digital skills, India continues to redefine what is possible.

At SAP, we have had the privilege of witnessing — and contributing to — this journey over nearly three decades. Today, more than 17,000 SAP employees in India drive innovation across product engineering, customer services, and cloud delivery. Together, they form a backbone of our global strategy.

The SAP Labs India Innovation Park stands as a symbol of this shared journey, a space where we will imagine what’s next, build with purpose, and innovate for impact. It is a physical manifestation of our belief in India’s role as a global innovation epicenter.

As we look ahead, our focus remains clear: to deliver breakthrough technologies that help the world run better and improve people’s lives. And we are proud to do it — with India at the heart of it all.


Sindhu Gangadharan is managing director of SAP Labs India and head of Customer Innovation Services at SAP.

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Images courtesy of SAP Labs India.

Grow into a New Role with Confidence (and a Little Help from Generative AI)

Generative AI is widely celebrated as a powerhouse for improving productivity, automating workflows, and accelerating efficiency in the workplace.

Create transformative impact with the most powerful AI and agents fueled by the context of all your business data

However, its potential goes far beyond simple optimization: generative AI can be a trusted ally for personal growth and confidence building, especially when navigating unfamiliar professional territory.

Whether you’re assuming a new leadership role, mastering a complex technical skill, or simply feeling uncertain about your next career step, AI platforms can truly help you gain clarity and confidence.

Here are three straightforward ways to use AI as a growth tool when venturing beyond your career comfort zone.

1. AI as a judgment-free partner

One valuable yet often underappreciated role of generative AI is its ability to serve as a non-judgmental sounding board. Transitioning to a new role or company often brings uncertainty, questions, and sometimes self-doubt. Regardless of the change, AI offers a non-judgmental space where users can openly share thoughts and explore solutions. This use of AI can help individuals better understand their uncertainties and organize their experiences in a positive, constructive way — laying the groundwork for confident problem-solving and, ultimately, success through a transition or challenge.

2. Breaking down big hurdles into bite-size goals

Facing broad, complex objectives can feel overwhelming. Generative AI can aid career growth by breaking down daunting challenges into smaller, manageable milestones. By asking AI to convert broad objectives into “bite-size” tasks, professionals gain a clear road map to achieve their goals. This approach reduces cognitive overload and encourages momentum through steady progress. Whether leading a new team or mastering advanced analytics, these small wins build confidence and reinforce a proactive mindset.

3. Expert-curated learning tailored to your needs

Finally, generative AI can customize and deliver high-quality learning resources that address your unique knowledge gaps and career context. For instance, AI can recommend expert insights and training modules that align with your individualized development path via the SAP Learning site, which provides access a broad portfolio of self-paced and premium learning opportunities to achieve business transformation and grow your career with free, self-paced, and on-demand SAP learning resources to both obtain and maintain SAP Certifications. From exploring agile frameworks as a project manager to deepening cybersecurity expertise as an IT professional, AI acts as a personalized guide to expert-level content designed to meet your specific needs.

To further support scalable and targeted learning, the SAP Learning site provides learners access to both self-paced and guided learning resources, allowing them to follow learning journeys tailored for specific roles and skill levels in a self-paced way. This adaptive approach enhances engagement and retention, helping users not only acquire new skills, but effectively apply them in their roles. Seamlessly embedded into everyday workflows, these online courses empower employees to engage in continuous development without interrupting their daily responsibilities — strengthening both their individual growth and overall organizational capability.

Whether managing cross-functional projects, mastering data analysis, or navigating career pivots, AI-enhanced learning experiences provide dynamic support that transforms uncertainty into clarity and fosters sustained growth.

Leveraging generative AI has become essential for confident, forward-thinking career advancement as new skills and roles emerge rapidly. Integrating AI into personal development helps professionals transition into new roles with greater assurance and agility.

More than a productivity tool, AI serves as a growth partner — listening without judgment, breaking down complex challenges into clear steps, and offering tailored learning paths. By embracing AI as a trusted resource, individuals and organizations can nurture a culture of continuous learning and navigate change and growth opportunities with confidence.


Andre Bechtold is president of Industries & Experiences at SAP.

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Explore the Business Value of SAP’s AI Use Cases

To date, the SAP Business AI catalog on the SAP Discovery Center site (AI catalog) offers descriptions for more than 240 AI use cases, including Joule capabilities and Joule Agents, categorized by business area.

Further, the AI catalog offers detailed business benefits and estimated business value for customers, as well as helpful resources like step-by-step product documentation and demos.

AI catalog home page
AI catalog feature page

“Since its launch 10 months ago, the AI catalog has been visited heavily by customers and partners,” explained Holger Neuert, chief product manager for the AI catalog. “Users spend a significant amount of time browsing the documented AI use cases, and return to the AI catalog on a regular basis researching AI features, Joule Agents, and [related] assets.”

SAP Business AI: Be more productive and faster across every team in your business

Showing customers the business value of AI

The AI catalog offers a great source of information as it combines solution details and potential business benefits.

SAP Customer Success manager Nick Pearce uses the AI catalog to access important documentation, value information, and pricing — in combination with the AI estimator — for customers.

“By providing fast access to potential business value statements, such as 70 percent faster job application processing with AI applicant screening, I can have value-based discussions with my SAP SuccessFactors customers about prioritizing where to start their AI journey,” Pearce shared.

“The AI catalog and estimator on SAP Discovery Center is a true game changer and the go-to resource for discovering SAP’s latest AI innovations across every industry and business function,” said Richard Grandpierre, head of SAP Business AI Product Management. “This powerful platform highlights business value and delivers transformative results at scale.”

Michael Glueck, global head of Value Advisory at SAP, explained that the value estimates used in the AI catalog are based on SAP’s industry expertise and are backed by benchmarking data and third-party research as well as early customer feedback on each AI use case.

“By looking at benefits in terms of both efficiency, direct impact, and effectiveness, indirect and causal-related impact, we provide a holistic view of the value a specific use case within SAP Business AI can deliver to our customers,” Glueck said.

Growing number of AI use cases

For an overview of SAP Business AI services already available to SAP customers, visit the SAP Business AI Discovery Center.

Dive into a summary of Q2 2025 release highlights for SAP Business AI, including product features released in SAP Early Adopter Care, beta, and general availability.

Discover How to Extend SAP S/4HANA Cloud the Right Way

Innovation is critical — but without the right foundation, it can quickly lead to complexity and cost. SAP’s clean core strategy helps customers build and extend their SAP S/4HANA Cloud systems in a way that is stable, agile, and innovation-ready.

Cloud ERP:  Be ready to seize opportunities and secure your success

The goal is simple: keep the core clean, standard, and upgrade-stable while still enabling business-specific differentiation where it counts.

Why clean core matters

Over time, many ERP landscapes become weighed down by custom code, undocumented changes, and hard-to-maintain integrations. This limits flexibility, slows down upgrades, and increases the total cost of ownership.

The clean core approach addresses these challenges by promoting the use of standard processes and enabling strategic extensions for differentiation. It focuses on building resilient business processes supported by seamless integration, efficient operations, and strong data quality.

By embracing a clean core approach, customers can:

  • Accelerate innovation cycles
  • Minimize technical debt
  • Simplify system maintenance and upgrades

Rather than limiting agility, clean core ensures that extensions are done the right way — with long-term stability, scalability, and innovation-readiness in mind.

Clean extensions: build what you need, without risk

Business differentiation often depends on tailored processes, custom applications, or personalized user experiences. SAP supports this through clean extensibility, a framework that enables innovation without compromising system integrity.

Extend SAP S/4HANA Cloud using:

  • Side-by-side extensibility on SAP Business Technology Platform (SAP BTP): creating scalable, decoupled applications that run independently from the core.
  • On-stack extensibility with ABAP Cloud: tightly integrated, upgrade-stable extensions within the ERP system

Both models ensure flexibility while keeping systems clean, secure, and easier to maintain. Choose between side-by-side and on-stack extensibility based on your use case, applying an SAP BTP-first strategy.

Clean core level concept: clarity and control

To clarify extensibility decisions and simplify qualification criteria, SAP has evolved its original three-tier model into the clean core level concept, an enhanced maturity model that brings greater structure, flexibility, and transparency. It also provides a more pragmatic approach to managing custom code in SAP S/4HANA Cloud.

The new maturity model categorizes extensions into four distinct levels (A, B, C, and D) based on their architectural integrity, upgrade safety, and alignment with clean core principles. The evolved framework empowers organizations to make smarter decisions, streamline development, and continuously optimize their extensions — with more clarity, confidence, and long-term control.

Each extension is evaluated using a standardized methodology that looks at how the extension is built, how well it is decoupled from the core, and how easily it can be upgraded or maintained.

The model defines four levels of compliance:

  • Level A – Extend with SAP Build: Fully compliant extensions using only publicly released and stable SAP interfaces, backed by formal stability contracts.
    • Side-by-side: Built on SAP BTP, using pro-code and low-code tools for app development and process automation.
    • On-stack: Built within SAP S/4HANA Cloud using the ABAP Cloud development model with publicly released APIs.
  • Level B – Leverage classic APIs: Compliant extensions, in addition to meeting level A criteria, using also SAP’s classic APIs and technologies.  These APIs offer well-defined, documented, and generally upgrade-stable interfaces for extension use.
  • Level C – Accesses internal objects: Partially compliant extensions allowing access to SAP internal objects, offering flexibility for legacy scenarios. To minimize upgrade risks, SAP plans to provide a changelog for SAP objects to help identify changes early and plan upgrades proactively.
  • Level D – Not recommended extensions: Extensions not considered “clean” that use explicitly non-recommended objects or techniques; for example, explicitly non-recommended objects, modifications, write access to SAP tables, or implicit enhancements. These represent the highest risk and create significant technical debt.

By assigning each extension to a compliance level, the clean core level concept gives IT leaders, enterprise architects, and business stakeholders a shared vocabulary and visual road map for assessing their current ERP landscape. It supports transparent decision-making regarding where to invest in cleanup, modernization, or new development.

How SAP supports your journey to clean extensions

SAP offers a full set of technologies to support clean, upgrade-safe extensions and provide clean core insights:

  • SAP BTP serves as the foundation for side-by-side extensions, enabling development, automation, and integration.
  • SAP Build is a unified application development and process automation solution for developing apps, AI agents, and automations using pro-code, low-code, and generative AI — enabling personalization and efficiency at scale.
  • ABAP Cloud, part of SAP Build, supports both on-stack and side-by-side development, enabling the enforcement of clean principles through syntax checks and lifecycle support.
  • Joule, SAP’s AI copilot, boosts developer productivity by generating clean, context-aware code and streamlining workflow automation across ABAP, Java, JavaScript, and low-code tools.
  • The RISE with SAP Methodology dashboard provides real-time insights into clean core adoption.
  • For detailed code-level governance, the ABAP test cockpit is the key tool.

Smarter way to extend

Supported by the level concept and a powerful set of extensibility tools, SAP’s clean core strategy empowers organizations to innovate faster, increase agility, and lower total cost of ownership.

Extend what sets you apart: Decoupled extensions simplify upgrades and accelerate innovation. That’s one advantage of clean core.

Learn more at sap.com/clean-core.


Priyadarsana Panda is senior vice president and general manager of Cloud ERP Solution Area at SAP.
Steffen Pietsch is vice president and head of SAP BTP Product Management at SAP.
Rudolf Hois is senior vice president and chief product owner of Cloud ERP Private at SAP.

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Henkel Partners with SAP to Implement AI-Assisted Returns and Exchanges Management Process

WALLDORF SAP SE (NYSE: SAP) today announced that Henkel AG & Co. KGaA, a leader in adhesives, sealants and consumer goods, and SAP have codeveloped a solution using SAP AI Services to streamline and enhance the returns and exchanges process.

SAP Business AI: AI that drives your business

The custom-built solution will enhance Henkel’s dispute management process by automating the indexing and classification of claim-related documents, setting a new industry standard for customer satisfaction and operational efficiency.

The custom solution, referred to as financial and supply chain management deduction and dispute management indexing (FSCM DDM Indexing), leverages SAP AI Services to automatically process and extract relevant information from customer claim documents. By embedding SAP AI Services into the early stages of the dispute resolution lifecycle, the solution minimizes manual interventions and ensures faster and more accurate case creation. This transforms what is often a manual and time-consuming process into a swift, intuitive and customer-centric experience.

“SAP’s AI-enabled solution will help us streamline our dispute management process, reducing manual labor and the time required for dispute resolution,” said Dimitri Lerner, Henkel’s corporate director of value chain platform. “As we continue our digital transformation, the partnership with SAP will not just enable our employees to become more productive but also elevate customer experiences.”

Based in Düsseldorf, Germany, Henkel is known for iconic brands such as Persil, Schwarzkopf, Dial and Purex. It operates in 79 countries. As such, its teams must often review high volumes of diverse and complex claim documentation, with claims policies differing in countries and rules. Where the process previously required considerable manual effort, the new AI-assisted claims solution automates the retrieval of documents from a central in-box and enhances the analysis of documents to determine reason codes and location codes. This speeds up and improves the accuracy of the returns and exchanges process. Once logged, these claims are integrated into Henkel’s business performance data, ensuring the company has real-time insights into its business operations, facilitating end-to-end process management.

“We are proud to support Henkel in its digital journey by delivering innovations tailored to its business processes while addressing operational challenges,” said Sindhu Gangadharan, head of SAP’s Customer Innovation Services organization. “This solution harnesses the power of AI to simplify dispute processing and improve end-user productivity. It is an excellent example of how SAP’s innovation capabilities can deliver tangible business outcomes at scale. We look forward to deepening our collaboration with Henkel.”

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Media Contact:
Lesa Plingen, +49 622 776 9000, lesa.plingen@sap.com, CET
SAP Press Room; press@sap.com

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