As enterprises put AI into production, competitive advantage increasingly comes from data and context. An AI agent's value depends on how well it can retrieve, interpret, and act on the information available to it.
Join AWS and Cloudera to learn how the principles behind the "12 Factors" of a modern data foundation help power analytics, generative AI, and agentic workflows at scale. Using reference architectures we will show you how to connect, contextualize and consume your data securely in production. The session will walk you through real-world customer examples and demonstrations, showing how leading organizations are building AI-ready data architectures to enable trusted, autonomous agents across the enterprise.
You will learn how to:
Connect all your data and eliminate fragmentation across clouds, platforms, and silos.
Contextualize data with knowledge graphs, governance, metadata, lineage, and business meaning.
Consume data and context securely through analytics, AI applications, and autonomous agents in real time with the right guardrails, while protecting your intellectual property.
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