Harvard Business Review research suggests that 80% of AI projects fail when moving from POC to production. Gartner puts that number at 90%. Many of these failures can be attributed to inconsistent, stale, siloed data. But Agentic AI workflows demand high-volume, real-time data that is secure and highly reliable.
This session explores the essential pillars of a data platform that can deliver AI-ready data. Discover how Cloudera's data fabric architecture, with its open data lakehouse, embeds AI to provide contextually rich, trustworthy, and governed real-time data for your AI agents.
In this live session, you will learn:
How we define AI-ready and Agent-ready data
How a data fabric, built on a lakehouse architecture, integrates diverse data for improved accessibility, unified governance, lineage, and explainability to deliver contextually rich data to your agents
Real-world use cases from customers who are successfully productionizing their agentic workflows
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