How to Leverage Unstructured Data to Build More Accurate, Trustworthy AI Agents
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Overview
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Discover how to harness unstructured data for building more accurate and trustworthy AI agents in this 20-minute sponsored conference talk. Learn why unstructured data has become a critical yet often overlooked asset as AI adoption accelerates, and understand the limitations of traditional data integration and RAG approaches when preparing and governing this data at scale. Explore IBM's unified data platform that streamlines integration across batch, streaming, replication, and unstructured sources while accelerating data intelligence through built-in governance, quality, lineage, and data sharing capabilities. Understand how AI governance extends beyond data to encompass oversight of models and agents themselves. Gain practical strategies to simplify your technology stack, strengthen trust in AI outputs, and deliver AI-ready data at scale, presented by Stephanie Valarezo, Program Director of Product at IBM.
Syllabus
Sponsored by: IBM | How to leverage unstructured data to build more accurate, trustworthy AI agents
Taught by
Databricks