How to Evolve the Data Foundation for AI & GenAI?

AI and Generative AI promise breakthrough innovations—but only if the right data foundations are in place. Many organizations still face fragmented systems, insufficient transparency, and poor data quality, which limit their ability to scale AI effectively and manage risks.

This impulse session brings together leading experts to explore how enterprises can build and evolve the data foundation needed to enable AI and GenAI at scale. Each expert will ignite the discussion with a focused perspective:

• Identifying the right data demand for AI (Siddharth Rajagopal)
• Overcoming technical debt and modernize the data platform (Ricardo Crepaldi)
• Scaling through data products (Andreas Böhm)
• Mitigating data risks (Una Shortt)
• Preparing (unstructured) data to become AI-ready (Christine Legner)

In the second part of the session, experts will rotate across interactive working groups, giving participants the opportunity to exchange ideas, test perspectives, and actively shape the conversation.

Alice Vaskova, Data & AI Strategy Advisor