Nipun Agarwal

As AI adoption accelerates, organizations must move beyond pilots to deliver measurable value. This roundtable explores how to balance sovereignty and scale, innovation and control, and experimentation with production readiness as agentic AI is deployed in enterprise processes. We’ll discuss what it takes to deploy and run agentic AI at scale—AI-ready data, governance, security, and cost transparency—while scaling safely and sustainably in a complex regulatory landscape.

Most AI initiatives stall due to fragmented data, missing context, and disconnected workflows. In this session, Oracle shows how to operationalize Enterprise AI with Oracle AI Data Platform and Autonomous AI Lakehouse—unifying structured and unstructured data, adding governed business context, and embedding AI into analytics and operations. See the end-to-end architecture from ingestion to agent-powered experiences.

AI powers productivity, but fragmented data, costs, and vendor lock-in hinder progress. Discover how Oracle’s Autonomous AI Lakehouse unifies warehousing, lakes, and AI on Apache Iceberg, on any cloud. Built-in analytics and AI operate directly on Iceberg tables to accelerate insights, embed intelligence, and preserve governance, flexibility, and control—scaling AI with confidence.