After three full days of deep dives with 300+ speakers across 15 stages, heated panels, and breakthrough keynotes at the Data Innovation Summit, we’re stepping off the stages to find out: what actually stuck?
While in Stockholm, we asked some of the moderators to go beyond the slides-exploring the recurring trends, the genuine surprises, and the “hottest” topics that set the rooms on fire.
In this video, you’ll go behind the scenes for an exclusive debrief on the core shifts shaping the future of AI and data as the experts distill three days of high-intensity learning into the key themes that emerged.
Anastasiia Glebova on the Analytics & Decision Intelligence (M5), facilitated conversations on shifting from “data-driven insights” to “decision-centric practices,” which involves automating and scaling decision intelligence within the enterprise.
While Giovanni Leoni on AI Strategy & Governance (M6) guided discussions on how Chief AI Officers and program leaders can scale enterprise-wide AI adoption responsibly, moving beyond theory into operational reality.
Karima Makrof focused on the organizational side of data, specifically federated data management and data product thinking on Data Strategy & Governance (M4). 
And Stephan Erne moderated the Manufacturing, Energy & Utilities (i2) for the 2026 “Industry Day”. This stage was specifically tailored for asset-heavy industries. The focus was on predictive maintenance, digital twins, and sustainable, AI-driven product innovation.
The sessions may have ended, but the implementation phase is just beginning. As these insights move from the conference hall into the engine rooms of global enterprise, they cease to be just “topics” and become the new standard for digital maturity.
And that’s why the Data Innovation Summit continues to be the definitive compass for the strategies that define the next decade of enterprise intelligence. A new era has begun!
