Keynote speakers
Roberto Baldoni
Information Systems in the Age of AI: Strategic Autonomy, Trusted Technologies, and Digital Dependencies in a Multipolar World
Wednesday 10 June 2026 – 9 am
Abstract: As artificial intelligence becomes a critical resource, information systems are evolving from infrastructures for processing data into infrastructures for generating intelligence, thereby becoming strategic infrastructures themselves. In a multipolar world increasingly shaped by geopolitical competition, the underlying technology stacks of these systems are becoming key determinants of autonomy, resilience, and influence. This keynote examines how dependencies across semiconductors, cloud infrastructures, AI models, orchestration layers, and digital platforms are reshaping the balance between states, firms, and democratic institutions. Using the AI technology stack as an analytical framework, the talk explores the emergence of new forms of digital dependency and the growing importance of trusted technologies aligned with transparency, security, resilience, and democratic values. The keynote finally argues that the transition toward AI-native and agentic information systems, together with the continuing evolution toward geopolitical multipolarity, requires a rethinking of information systems engineering in order to preserve strategic autonomy and trust in next-generation information systems.
Biography: Prof. Roberto Baldoni is Senior Advisor for Technology and Cybersecurity Policy to the Ambassador of Italy in the United States and Honorary Professor of Computer Science at Sapienza University of Rome. He previously served as Founder and first Director General of Italy’s National Cybersecurity Agency (ACN) and as Deputy Director General of the Italian Intelligence Community (DIS) with responsibility for national cybersecurity. His work focuses on strategic autonomy, trusted technologies, AI geopolitics, and digital sovereignty. He is the author of books, op-eds and policy papers on technology, cybersecurity, and the future of democratic governance in the age of artificial intelligence.
Ingo Weber
IS Engineering in the Age of GenAI: Transforming Research, Transforming Systems
Thursday 11 June 2026 – 9 am
Abstract: Generative AI is changing the reality of doing research — and it is fundamentally changing the systems we engineer. This keynote addresses both sides of this transformation. First, transforming research: I will report on 118 use cases for GenAI in supporting researchers, identified in a systematic literature review, and introduce human-in-command governance (HIC-GOV), a design paradigm for AI-supported research where scientific integrity is assured. We might even peek through a crystal ball into possible futures of research. Second, transforming systems: Engineering complex software systems that do not rely on AI was already difficult. Engineering an AI system adds new complexity and special characteristics — new quality concerns (reliability, fairness, security, observability), new life-cycle challenges, and new forms of trust between humans and AI. Three pillars — software architecture, DevOps processes, and AI model quality — must be integrated to meet these challenges. GenAI transforms how we conduct research on IS engineering, and IS engineering must evolve to deliver trustworthy GenAI systems.
Biography: Prof. Dr. Ingo Weber is Full Professor of Information System Development and Operation in the Computer Science Department, TUM School of Computation, Information and Technology, at Technical University of Munich, Germany. Ingo Weber is also Director for AI & Innovation (previously: Director of Digital Transformation and ICT Infrastructure) at the Fraunhofer-Gesellschaft. Before moving to Munich, he was Full Professor of Software and Business Engineering at Technische Universität Berlin from 2019 to 2022. Before that, he spent ten years in Sydney, Australia, where he worked for the research institutions CSIRO, NICTA and UNSW. In 2009, he received his PhD from the University of Karlsruhe (TH), now KIT, and worked in parallel for SAP Research. He holds an M.Sc. from the University of Massachusetts, Amherst, USA.
In his research, Ingo Weber works in various subfields of computer science, in particular applied artificial intelligence (AI), business process management and process mining, software architecture and engineering, DevOps, and blockchain. He is author of numerous publications and co-author of the textbooks “DevOps: A Software Architect’s Perspective” (2015), “Architecture for Blockchain Applications” (2019), and “Engineering AI Systems – Architecture and DevOps Essentials” (2025).
Christine Legner
Data Products as a Paradigm Shift: From Concept to Organizational Implementation
Friday 12 June 2026 – 9 am
Abstract: Data products represent a paradigm shift in how data is managed and used within organizations. Although the concept has gained considerable traction in both research and practice, implementation varies significantly across organizations. Additionally, the acceleration of AI is leading to an extended perspective on data products, such as knowledge products supporting Generative AI and agents. To advance understanding of this phenomenon, we conceptualize data product journeys as the organizational processes through which data products are initiated, developed, and embedded into practice. Drawing on multiple case studies, we examine the triggers, objectives, and work packages that shape data product journeys. Our analysis shows that these journeys unfold along multiple pathways, which differ in their starting conditions, scope, and sequence. Across these pathways, we identify five key areas that require systematic attention: (1) foundations, (2) platforms, (3) the data product life-cycle, (4) data product and portfolio management, and (5) organization and culture.
Conceptually, our work adds a process perspective to debates on data products in organizations and links data products to academic debates around data and AI governance and architecture. Practically, it offers guidance for data leaders and managers seeking to navigate the complexities of embedding data products into their organizations
Biography: Christine Legner is a Professor of Information Systems at the Faculty of Business and Economics (HEC), University of Lausanne, and research fellow at the MIT Center for Information Systems Research (MIT CISR). She founded the Competence Center Corporate Data Quality (CC CDQ) in 2006 where she and her research team collaborate directly with industry experts from Fortune500 companies to develop concepts, tools and methods that advance the field and practices of data management. Together with Dr. Olivier Verscheure, she is co-director of the Executive Certificate in Data Science and Management, a joint program offered by HEC Lausanne and EPFL. She has published more than 150 peer-reviewed articles in academic journals and conference proceedings, including Journal of Management Information Systems, Journal of the AIS, European Journal of Information Systems, Journal of Strategic Information Systems, Information Systems Journal, Journal of Information Technology, among others. She is also editor of a book titled Strategic Enterprise Architecture Management and has co-authored eBooks on data strategy and data catalogs. Christine Legner received her doctorate from the University of St. Gallen (Switzerland) and She was visiting researcher at INSEAD (France), Stanford University (US) and HEC Montréal (Canada).