As generative AI and self-service analytics redefine how organizations access and use data, traditional data strategies built on rigid architectures and centralized control are showing their limits.
In The Rise of Logical Data Management, O’Reilly’s Christopher Gardner highlights the mounting pressure that Lakehouse-centric approaches face in balancing flexibility, performance, and governance.
In this analyst-led discussion, BARC’s VP of Research Kevin Petrie brings together industry thought leaders to examine how modern enterprises can evolve their data strategies to meet the demands of the AI era.
Denodo’s Global VP of Product Management, Pablo Alvarez, will share how logical architectures and semantic unification can empower organizations to realize the full value of their distributed data assets—without the heavy lift of centralization.
He will explore how data products and business domain participation can accelerate data democratization while maintaining trust and compliance. The session will also unpack the unexpected rise of data governance as an enabler of generative AI, revealing how governance frameworks, metadata intelligence, and semantic layers are converging to support responsible innovation.
Attendees will gain a clear view of emerging patterns in data management, the organizational shifts required to support self-service, and the technologies that are reshaping how data drives agility, accuracy, and AI-readiness across the enterprise.