To achieve agentic optimization, D&A leaders must invest in active metadata and data ecosystems, develop FinOps maturity, and train AI models. This foundation enables efficient, automated decision-making for deploying and optimizing D&A resources. This session explores how these areas intersect, offering a holistic view of agentic capabilities, impacts and risks. Go beyond targeted agents and think big!

For over a decade, we have sought a holistic, unifying theory of data management. This presentation documents the quest, and touches on the data and analytics infrastructure model (DAIM), metadata, data fabric, data ecosystems, and FinOps. Each of these is required and together they address everything from infrastructure to AI to strategy communications.