For years, enterprise data management was built on specialized, siloed technologies — catalogs, lineage, observability, and governance — each solving isolated problems. While that model served the “modern data stack” era, the age of AI has ushered in a substantial re-bundling of data technologies.

As organizations pivot strategic investments toward AI, pure data technologies are no longer funded in a vacuum. Today, their value is measured by how effectively they enable AI-driven analytics, agentic AI, automation, and intelligent decision-making. This shift has given rise to a new, essential paradigm: Data Intelligence.

Key discussion points

In this session, our expert panel explored the evolution of the data ecosystem and how leadership can adapt. Key takeaways include:

• The unifying layer: Why Data Intelligence is emerging as the bridge between raw data and AI strategy.
• Strategic positioning: How CDOs can reposition data initiatives to secure funding and drive AI-driven outcomes.
• The 2026 landscape: A look at how automation and agentic AI are redefining the “modern data stack.”

The panel

• Mark Marshalek, Head of Data Governance, Farmers Insurance
• Luis Velandia, CDO, Best Doctors Insurance
• Cindy Tu, Responsible AI Innovator, Financial Services
• Ole Olesen-Bagneux, Chief Evangelist, Actian
• Moderator: Emma McGrattan, CTO, Actian