Fully Homomorphic Encryption: Data Insights Without Sharing Data

Carbon footprint calculation, patient privacy, and machine learning based on sensitive data – thanks to advanced encryption methods like fully homomorphic encryption.

Most have been in this situation before: one of the providers or services we use is a victim of a data breach and we want to determine if our personal user data has been impacted. This is where fully homomorphic encryption (FHE) comes into play. With FHE, the encrypted, personal password is compared against the data set of stolen user data and potential matches are identified without ever revealing the user’s password.

Use cases for this type of privacy-enhancing technology (PET) are numerous. They range from applications in medicine, where third-party service providers can analyze health data without compromising a patient’s privacy, to performing machine learning and AI algorithms on encrypted data, allowing organizations to derive insights from sensitive data sets without exposing the data to potential breaches or privacy violations.

How It Works

Fully homomorphic encryption allows calculations to be performed on encrypted data without having to decrypt it first. Confidentiality is maintained, as even the results are encrypted and can be viewed only with the appropriate decryption key. Further techniques for processing encrypted data are multi-party computation (MPC) and trusted execution environments (TEE).

Mathias Kohler, research manager at SAP Security Research, outlines the differences: “While FHE is the most known of the encryption technologies, MPC is the ideal candidate if working with several parties exchanging encrypted data across company borders. And it can be substantially faster than FHE.” While both are software-based technologies, TEE is hardware-based, which makes it the fastest choice. The downside: TEEs, unlike MPC and FHE, require decrypting the data for processing. While decryption happens in a trusted hardware environment isolated from the operating system, it can allow data leakage via side-channel attacks. Notably, PETs do not need to be considered in isolation and can augment each other. For example, MPC can encrypt and distribute an FHE decryption key, protecting the FHE key and ensuring no single party can decrypt everything.

SAP protects businesses’ applications and data by building, running, and maintaining more-secure operations

Why It’s Relevant

There is a demand for this kind of technology. By 2025, 60% of large organizations will use at least one privacy-enhancing computation technique in analytics, business intelligence, or cloud computing, according to Gartner.

Fully homomorphic encryption has numerous applications, especially in scenarios where privacy and security are paramount, such as secure computation in the cloud, privacy-preserving data analysis, and secure outsourcing of computations. As long as one party is performing the data processing centrally, FHE is the encryption method of choice. FHE enables organizations to share encrypted data with partners or third parties for analysis or monetization purposes while maintaining data confidentiality. This is particularly relevant in industries such as advertising and market research.

Interesting use case scenarios from SAP’s perspective could be secure benchmarking and predictive maintenance.

Secure Benchmarking

Companies often assess their competitiveness relative to industry peers and compare business-relevant KPIs, such as automation rate or return rates, with peers and even competitors. With fully homomorphic encryption, all participating parties can share encrypted KPIs without revealing individual data. As a result, they learn about relevant statistics, such as averages or medians, to assess their relative competitiveness and decide where to improve and invest.

Predictive Maintenance

Predictive maintenance is a machine learning technique to forecast demand for maintenance or spare parts based on historical data. “In certain industries, required data, such as usage patterns and failures, is considered sensitive and is not easily shared with data scientists or maintenance operators,” says Anselme Tueno, senior researcher at SAP Security Research. By computing on encrypted data, however, no sensitive information is revealed while still allowing for the required insights to be gathered for prediction tasks.

Carbon Footprint Calculation with Multi-Party Computation

While it is early days from a product availability perspective, SAP is working on potential use cases with customers and partners. One key example is calculating carbon footprints of products.

Prime examples for complex collaborations are today’s supply chains, intricate networks that encompass various levels of suppliers, manufacturers, and processed goods. Unfortunately, there is often a lack of comprehensive visibility across the entire process – either for technical reasons or because businesses are often reluctant to share sensitive data across supply chains that often include direct competitors.

However, to accurately assess and disclose a product’s carbon footprint, sensitive production details and associated carbon costs for production-relevant parts and materials are required. Here, MPC can reveal only the required carbon footprint without disclosing associated, proprietary manufacturing details with other supply chain participants.

Currently, SAP is working with Bosch on cloud-native software for secure multi-party computation called Carbyne Stack.

“SAP participates in this open-source project and supports the development of Carbyne Stack’s storage and processing services and the deployment of Carbyne Stack on Amazon Web Services (AWS),” Kohler explains. “For Bosch, Carbyne Stack is a type of cloud-native operating system for MPC workloads that manages resources to run as efficiently as possible in multi-cloud deployments.” This effort can help SAP in the long run to integrate MPC as technology into SAP solutions and services while running in a cloud-native environment.

What’s Next?

Despite all the benefits around processing data, encryption introduces significant computational overhead due to the complexity of performing operations on encrypted data. Slow processing speeds, especially for complex operations and large data sets, makes fully homomorphic encryption impractical for real-time applications or large-scale data processing. Although the performance of FHE has greatly improved in recent years, its practical adoption is still limited due to the processing overhead and performance considerations. Ongoing research is focused on the design of FHE-specific hardware accelerators.

“PETs for computing on encrypted data have the power to amplify data-driven business collaborations and reshape the future of cloud computing,” explains Jonas Böhler, senior researcher at SAP Security Research. By safeguarding data, they enable access to previously untapped information while minimizing privacy risks and thwarting data breaches. The future of computing is encrypted.


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Convista Harmonizes Workplace Culture with SAP SuccessFactors Employee Central and SAP S/4HANA Cloud Public Edition

In a merger between two well-matched organizations, cultural integration can be the key to successfully transforming into a single high-performing entity ready to take on new opportunities. Notably, more than a few high-profile mergers have failed due to cultural incompatibility. Add a third organization into the merger and the cultural complexities increase exponentially. But some multi-organization mergers do successfully navigate these challenges and reap the transformational benefits.      

Convista, a consultancy and SAP partner based in Cologne, Germany, emerged stronger and better positioned to serve its clients following a recent merger that brought together three former consultancies: Axxiome Health, ConVista Consulting, and enowa. With 25 years of experience delivering transformation projects to its clients, Convista used that expertise in its own rebranding to present its capabilities to clients and employees: a vibrant people culture as well as a respected and trusted brand supported by SAP S/4HANA Cloud Public Edition for ERP and SAP SuccessFactors Employee Central for core HR.

“Trust and transparency are common values that we share at Convista,” declares Convista CEO Martin Hinz. “Combined with a dynamic team spirit and passion, it’s what we bring to our clients every day.”

With a workforce of around 1,200 employees, Convista has made a name for itself through its dedication and expertise providing end-to-end solutions to clients throughout the world with a presence in Germany, Austria, Switzerland, Poland, Spain, Brazil, Israel, and further locations across the globe. It supports client projects primarily in four sectors: insurance, industry, healthcare, and energy/utilities. In recent years, Convista has twice been awarded SAP Partner of the Year in the Financial Services sector.

“At Convista you meet everyone on the same level, independent of your skill level or where you are in your career,” says Stefanie Weber, project lead of People and Culture – HR Systems, Convista. “Also, when we’re working with customers, we try to approach them at eye level, which makes quite a good working environment. The implementation of SAP SuccessFactors came as a natural extension to our brand and our culture.”

The Challenges of Data Siloed in Three Systems

Weber says one of the reasons she joined Convista in 2012 while studying business at university was the high priority its leaders place on trust and transparency, values that permeate the entire organization and empower employees in their work and career development. “Trust is one of our main values,” she underscores. “Also, the trust that people are willing to do their best to get motivated and move the company ahead.”

Convista grew quickly both organically and as a result of mergers with other consultancies. In 2019, IT service provider Axxiome Health joined the ConVista Group to deepen the organization’s expertise in the health insurance sector. In 2021, enowa joined the group, infusing its knowledge of industries and insurance. With the mergers complete, the incipient organization became the new Convista on January 1, 2023.

Though team members were highly motivated to collaborate from the start, Convista’s vision for itself as a modern organization was held back in both its daily work for projects and internal services. Using disparate tools based on older technology and a patchwork of third-party solutions that lacked integration proved to be inefficient and unsuitable as a basis for decision-making.

“Whenever we wanted to have a report, even something as simple as a headcount, we always had to go into three different systems, collect the data, and report on that,” Weber recalls. “It’s just one of the many examples of why we really urgently needed one IT platform.”

Project ONE Achieves Milestone Integration

To build a strong foundation for future growth, Convista embarked on “Project ONE” with the goal to have one digital platform flexible and powerful enough for the entire organization. For this, it chose SAP S/4HANA Cloud Public Edition and SAP SuccessFactors solutions with self-service capabilities for employees to log time-off.

Overall, implementing SAP SuccessFactors Employee Central with SAP S/4HANA Cloud Public Edition can result in streamlined HR processes; end-to-end integration with seamless connectivity between HR and finance functions for accurate and up-to-date employee data across the organization; greater transparency of data for analytics and reporting on workforce trends, costs, and profitability to enable better strategic planning and resource allocation; and compliance with regulatory requirements and data security.

SAP SuccessFactors solutions can fuel the success of every individual and drive org agility at scale

Among the key advantages is the ability for employees to access their own HR-related information, such as personal details and time-off balances. This self-service capability helps empower employees, improve transparency, and enhance the overall employee experience.

Convista’s project team decided for a phased approach to the implementation by first introducing the SAP solutions in Poland and later in Germany, Austria, and Switzerland – with SAP S/4HANA Cloud Public Edition planned to launch in the German-speaking countries during the course of 2024. To optimize success, the project team used the combined best practices of Convista and SAP and hosted regular meetings that provided clear communication to steer the project. “We were always aligned on the requirements of the other teams,” says Weber, who managed the HR workstream. “We all knew the main goal of the implementation. This was helpful for everyone on the project.”

In-house experts from Convista certified on SAP SuccessFactors solutions contributed valuable knowledge for the implementation. Consultants from SAP Services and Support successfully integrated the cost center replication from SAP S/4HANA Cloud to SAP SuccessFactors and the workforce replication from SAP SuccessFactors to SAP S/4HANA Cloud, and delivered a detailed administration guide on the integration setup for Convista. Additionally, they provided an overview, the architecture guidance, and the navigation through major hurdles in performing the configuration to set up identity access governence (IAG), identity provisioning service (IPS), and identity authentication services (IAS). The SAP Early Adopter Care program supported Convista for the master data integration (MDI) during the implementation and helped to solve all roadblocks efficiently.

On January 1, 2023, Convista’s 80-person team in Poland was the first to go live with the new SAP solutions. “It was really a great experience for them and quite an advancement,” says Weber, citing the benefits of the new solutions that provide optimizations and intuitive workflows. The project took a pivotal turn on January 1, 2024, with the launch of SAP SuccessFactors solutions for Convista’s 800 employees in the German-speaking countries.

“The biggest milestone was to have [SAP S/4HANA Cloud Public Edition and SAP SuccessFactors Employee Central] speaking with each other,” says Weber, who emphasizes how valuable it is for the team “to have an end-to-end process within one platform.” With an integrated IT platform in place, she says that it is no longer necessary to do workflows, authorizations, or any other processes in other systems.

The seamless synchronization of data by using a common data model for SAP business applications helps reduce the need for manual data entry and redundant processes. This means, for example, employee data that is maintained in SAP SuccessFactors Employee Central is available in real-time in SAP S/4HANA Cloud Public Edition; while master data, like cost center data, flows seamlessly from SAP S/4HANA Cloud Public Edition to SAP SuccessFactors Employee Central. Eliminating data silos enables the HR and finance teams to work with consistent, accurate data for all-important employment decisions and legal reporting obligations.

Now Convista’s team is unified in its brand, values, spirit – and employee data. 

More Transparency and Intuitive Workflows Are Just the Beginning

Feedback has been overwhelmingly positive, according to Weber, with employees speaking favorably about the improved transparency and workflows. “The first thing I heard from everyone was, well, this is simple and intuitive. They were so happy about it,” she says. “They are big fans of the mobile application. They find it very transparent and easy to use.”

For some colleagues, the new solution lets them view their own data for the first time. “When we went live, everyone was viewing their profile,” says Weber. “This was also quite new that you are able to see what data is maintained for your person, your address, but also job information – to view it and have this transparency. People like this very much and also the ability to have the self-services in SAP SuccessFactors.”

To strengthen communication between HR and employees, Convista will bring more people processes onto the new digital platform. In fact, the team very recently implemented the SAP SuccessFactors Performance & Goals solution for annual employee appraisals, goal setting, and project feedback. “It’s just the beginning,” Weber says. “There’s still a lot of work ahead of us.”

Hinz says, “We have been careful to preserve our workplace culture during the transformation. Now that we are rebranded as one organization, we are seeing the benefits of that early effort. With SAP, we now have the digital platform to build people-centered processes that advance our vision as a unified, high-performing organization serving our clients.”       

Find out more about SAP SuccessFactors solutions.


Jacqueline Prause is a journalist at SAP.

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Expanded Partnership Turns Transactions into Lasting Connections

The era of the hard sell is over – companies are now focused on creating sales and service experiences that naturally attract customers and solidify their loyalty. But this winning approach requires much more than the traditional seller-buyer transaction of engagement, trust, personalization, and mutual benefit.

B2B and B2C customers are demanding virtual sales interactions and smooth, consultative customer service experiences, according to a report from Harvard Business Review Analytics Services. Yet, 51% of businesses still struggle to provide the right data, processes, and capabilities that allow sales and service teams to deliver moments that create lasting connections.

Now, with greater ease, SAP customers can access the content, guided expertise, resources, and planning methods essential to building a cloud-based technology foundation for this new era of sales and services. And all of this is possible through the SAP Preferred Success plan for SAP Sales Cloud and SAP Service Cloud, expanded edition.

Maximizing Value with Focused, Proactive Guidance

Offering a combination of omnichannel sales and value-added customer service is, by no means, a simple feat that can be achieved overnight. Making this transformation requires mutual understanding and close collaboration between sales and service teams, accessing data-driven insights on customer needs and expectations and delivering value at every touch point with effective technologies.

The expanded edition of SAP Preferred Success for SAP Sales Cloud and SAP Service Cloud can deliver that advantage with exceptional support from knowledgeable SAP experts throughout the lifetime of a cloud solution investment. Without processing another statement of work, SAP customers can move from planning and implementation to go-live and active operation with such speed and effectiveness that they can transform their customer experience faster and more efficiently.

Fast track the value of your cloud investment with SAP Preferred Success

For example, reviews and related analysis help maintain peace of mind throughout the deployment of a cloud solution, keeping organizations on the right path toward achieving their goals. This can include quality checks to help ensure integration integrity, in-depth release guidance for future feature adoption, targeted training programs on the latest topics and best practices, and service-level agreements for enhanced support.

But what makes the expanded edition of SAP Preferred Success for SAP Sales Cloud and SAP Service Cloud truly distinctive is the long-term, enhanced partnership it can provide to help advance and accelerate the cloud journey. Throughout the subscription lifecycle, organizations are continuously supported by experts and specialized services designed to meet their unique needs.

Access to Product Specialists

Appointed based on their technical and product-based expertise, product specialists leverage their knowledge and insights to help accelerate business outcomes and maximize the consumption of SAP solutions. They achieve this by recommending and overseeing the delivery and scheduling of crucial services, providing direct access to experts for targeted advice on solutions, and advising on SAP best practices.

This experience can allow sales and services organizations and their stakeholders to enhance the ROI of their overall investment in cloud solutions from SAP by:

  • Acquiring functional and technical knowledge when needed
  • Receiving answers to queries related to standard integration with other SAP solutions
  • Addressing critical implementation difficulties quickly and resolutely

Solution Reviews

During prescriptive solution reviews, SAP experts work closely with customers to analyze their usage patterns and advise on process improvements and transformation journeys that align with their success plans and business goals. Specifically, they focus on aligning usage with best practices, measuring the impact of changes on business operations, and identifying areas for improvement.

Customers can also benefit from collaborating with subject-matter experts during these reviews, receiving recommendations and advice on changes that can help mitigate or resolve business challenges, improve the customer journey, and reduce bottlenecks proactively. This service can offer stakeholders valuable insights into simplifying and optimizing operations, reducing administrative work, boosting process efficiency, and enhancing transparency for user adoption and cloud landscape stability.

New Feature Activation

SAP customers can also receive assistance in identifying, evaluating, activating, and maximizing the impact of the latest features to support their business operations better. Subject-matter experts help provide an enhanced adoption experience by aligning business goals with value and product capabilities, creating a tailored adoption plan, and providing guidance and enablement to activate features.

The new feature activation service can also assess and enable the impact of new configurations and simple customizations added to SAP Sales Cloud and SAP Service Cloud. By matching business needs to updates that offer better value, SAP experts can evaluate the potential benefits and risks of the new additions, pinpointing system changes needed to activate and test the update to measure business outcomes.

Reaching Mission-Critical Goals with Extra Impact

The right technology partner can make all the difference – especially as expectations for sales and customer service experiences continue to evolve. Providing access to expert guidance, resources, and support when and where needed helps ensure businesses drive customer loyalty and success.

The expanded edition of SAP Preferred Success for SAP Sales Cloud and SAP Service Cloud can deliver on that promise with a transformative approach to sales and customer service. This significant step towards creating personalized, value-driven experiences can help sales and services teams not only meet but exceed customer expectations, turning transactions into lasting connections.

Ready to amplify the impact of your sales and customer service experiences? Visit the SAP Preferred Success area of sap.com or contact your local SAP representative to learn more about SAP Preferred Success for SAP Sales Cloud and SAP Service Cloud, expanded edition.


Amitesh Tiwari is a solution manager for the Chief Innovation Office of Cloud Success Services at SAP.

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SAP SuccessFactors Strategy for Building Future-Ready Workforces

Without a doubt, the world of work has dramatically transformed over the past several years, with generative AI initiating the latest wave of change for organizations around the world. In a more complex and less homogenous business landscape, top-down HR processes of the past no longer meet the rising demands of employees for flexible career paths, intuitive work processes, and two-way communication – not to mention the growing skills gaps and talent shortages that keep leaders up at night. 

Leaders need to embrace generative AI as a way to address these challenges with talent intelligence and advanced analytics. According to Gartner, 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’t adopt and implement generative AI in the next 12 to 24 months. 

Adopt the latest in HR innovation with SAP SuccessFactors solutions

 At SAP, 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 SAP SuccessFactors HCM suite 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 – from startups and midmarket companies to large enterprises – use our solutions to help bring out the best in their people by harnessing the power of AI to elevate every experience, guide every people decision, and connect HR across every aspect of the business. We do this with: 

  • Core HR and payroll: 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 SAP 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.
  • Talent and learning: 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 SAP SuccessFactors solutions uses AI to continuously help organizations and employees understand their skills and match people with personalized career pathways.  
  • A modern user experience: Every person has unique needs and preferences – in how they work, how they communicate, and what’s required for their role. Along with a refreshed, modern user experience, we’ve built in generative AI capabilities throughout our solutions to help people work smarter. And with Joule, SAP’s copilot, they can quickly complete HR tasks and get conversational responses to their questions.
  • HR connected to ERP, finance, and more: 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 SAP 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 – in their passions and potential – they return the investment over and over. And with the rapid acceleration of AI, it’s more important than ever to build pathways to employee growth, including new ways to upskill, reskill, and discover opportunities that align with a person’s skills, interests, and aspirations. 

Learn more about the SAP SuccessFactors HCM suite.


Dan Beck is president and chief product officer for SAP SuccessFactors.

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How Women Shape AI at SAP

Although women comprise about 35% of the workforce at SAP, when it comes to shaping AI it seems they are punching above their weight.

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

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Data Science Engineering

Dr. Khawla Mallat, Security and Quantum Exploration Team, SAP France

“Be ready to be challenged all times,” says Mallat, if you want to build a career in AI.

Unlike most data scientists at SAP, Mallat does not work directly on the product but is firmly anchored in researching and addressing “some of the technical challenges related to AI, namely fairness, explainability, privacy, and security.”

Photo courtesy of Khawla Mallat

Prior to joining SAP 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 in other AI applications. In areas like HR, she continues, removing personal details in data sets might seem to solve the bias issues, but AI can still infer these details. This leads to potentially biased outcomes and the lack of explainability in AI models makes identification of such biases difficult. 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’s 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.

“We 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,” says Mallat.

“I love working in AI,” she continues. “Everything 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 – regulations and regulatory frameworks – seriously because these have huge implications not only for SAP but for individuals and societies in general.”


AI Ethics

Camila Lombana Diaz, Responsible AI, Germany

“AI 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?” explains Lombana Diaz, AI ethics research expert in the AI Ethics/Responsible AI team located in the SAP Business AI growth area.

Lombana Diaz’s responsibilities include maturing and applying the SAP 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 SAP’s AI ethics handbook.

Photo courtesy of Camila Lombana Diaz

When she joined SAP 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 “understanding the human implications of AI for a responsible and ethical AI demands a human-centric perspective.”

Even though SAP is committed to the ethical development of AI – developers must now complete AI ethics assessment tasks and a steering committee scrutinizes all high-risk use cases – 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. “AI 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,” and, she concludes, “the 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.”


Data Science Engineering 

Dr. Xin Chen, SAP HANA Machine Learning, China

“I have always enjoyed working at SAP 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,” says Chen, data science researcher on the SAP HANA Machine Learning team.

Photo courtesy of Dr. Xin Chen

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

Part of Chen’s 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. “Fairness is a very hot topic just now,” she says. “In mathematics, there are different notions of fairness, but it is still a complex and evolving topic.”

And Chen’s advice to would-be AI developers? “Critical 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,” she says, reflecting on how this skill will become ever more important for future AI developers.


Product Management

Nadine Hoffmann, SAP Business AI, Germany

“I translate and I want to fascinate,” says Hoffmann, global AI product manager in the SAP Business AI growth area.

Even after more than 20 years at SAP, 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.

Photo courtesy of Nadine Hoffmann

“On the one hand,” says Hoffmann, “SAP 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.” Product management must be fluent in both “technical software speak” and “customer speak” to understand desires, pain points, and business processes.

Pivoting between these and aligning customer speak with technical software speak is akin to being a  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 “not 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.”


Data Science Engineering

Puntis Palazzolo, AI Strategist & Ethics Lead, SAP SuccessFactors, U.S.

“The ethical challenges presented by AI have transcended the scope of individual enterprises, extending beyond entities like SAP. It is crucial that we collaborate with others to collectively address AI’s emerging concerns,” says Palazzolo, who leads the SAP SuccessFactors Data Science team.

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

Photo courtesy of Puntis Palazzolo

Much of the data in SAP SuccessFactors solutions is sensitive customer data. With the dramatic increase in generative AI use cases, safeguarding customer data must take precedence, Palazzolo says. “Generative 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’s lives.”

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

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

“Legislators alone cannot write AI regulations for us because they do not have a full understanding of its complexities,” she says. “We cannot solve all the problems by ourselves, but we must make our voices heard to shape the future of AI.”


Alexa MacDonald is an SAP News editor.

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