Breaking Data Silos: The Blueprint for Governed AI

*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id= "request-6ab6efe8-174c-83ed-98be-d365d09dbca8-2" data-turn-id-container= "request-6ab6efe8-174c-83ed-98be-d365d09dbca8-2" data-testid= "conversation-turn-16" data-turn="assistant"> div:has([data-free-thinking-preview-answer=true])+:is(.text-message,.relative:has(>.text-message))]:-mt-2 grow"> Join this episode of DM Radio as host Eric Kavanagh speaks with Michael Leworthy of Everpure and Philip Dutton of Solidatus about breaking down enterprise data silos and building a stronger foundation for governed AI. Together, they discuss managing data where it lives, AI's growing need for direct access to raw data, and the importance of data lineage, metadata, context, and governance.

Learn how organizations can map data across legacy and modern systems - and maintain visibility and control as AI agents increasingly interact with enterprise data and generate code.