The Data Strategy Behind Uniper's Enterprise AI Transformation

Building a proof of concept is easy. Industrializing AI across a complex enterprise is not. It demands something most organizations underestimate: a robust, intentional data strategy that is executed with discipline.

In this webinar, Maximilian Walther, Ph.D., Head of Data Strategy & AI Enablement at Spryfox, and Gabriele Roggero, Senior Data Strategist at Uniper, a leading European energy provider, share the journey of transforming Uniper's enterprise data foundation, how that transformation is now accelerating AI adoption at scale, and the data strategy design that enabled it all.

Uniper started where many large organizations find themselves: fragmented data silos, inconsistent maturity across business areas, limited visibility into data ownership and quality. For Uniper, closing that gap wasn't a theoretical exercise, it was a business imperative.

Together with partners like Spryfox, they initiated a company-wide transformation: a unified Data Strategy Framework, a clear Data Architecture Framework, the systematic rollout of Data Asset Inventories, and a central metadata backbone to create transparency and a common language across the organization.

Join us to learn more about:

• The 6 ways data efforts can fail: how to spot the patterns in your own organization and what to do about them
• The challenge Uniper was facing: what the real problem was beneath the surface, and why identifying it was the critical first step
• The 3 foundational elements of a robust data strategy: and how each one was designed and applied in practice at Uniper
• 4 key takeaways you can bring back to your own organization

This session is designed for practitioners who are done with the strategy slides and want to understand what it actually takes to industrialize Data & AI in a complex enterprise environment.