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Explore how to transform traditional data foundations into intelligent systems that enable agentic AI workflows in this 30-minute conference talk. Discover the shift from conventional tables and metrics to creating meaningful data foundations that turn metadata into systems of understanding rather than mere record-keeping. Learn how business terms like "cost variance" and "lead time" can become executable, traceable, and reusable assets that guide AI agents while ensuring consistency and restoring trust across decentralized teams. Examine real-world challenges from the consumer packaged goods industry and understand how companies are transitioning from governance battles to collaborative ownership, from static reports to living data definitions, and from disconnected data to confident, fast-acting decisions. Gain insights into moving beyond smarter AI models to creating smarter context, with practical guidance on transforming your data foundation into a shared language between people and machines. The session features industry experts Amlan Maitra, SVP of Data & AI at PepsiCo, and Sagar Balan, Chief Business Officer at Tredence Inc, who provide strategic perspectives on preparing data infrastructure for the future of agentic AI systems.
