Just like we don't put crude oil in a car—we refine it into gasoline—AI can't run on raw, stale data. But different AI workloads need different refinements: Model training and BI need fresh, queryable, and governed tables, while AI agents and LLM applications need comprehensive, trustworthy context served in real time.
In this session, see how Confluent's data streaming platform delivers both. Learn how Confluent Tableflow automatically materializes Kafka topics into Delta tables registered with Unity Catalog—no custom ingestion pipelines required—and how Confluent's Real-Time Context Engine serves that same operational data as live, governed context to AI agents on Databricks. You'll leave with a clear architecture for turning real-time data into AI-ready tables and AI-ready context, and the patterns to move from brittle pipelines to production-grade AI while reducing TCO.
Confluent an IBM Company
Innovator
Overview
Confluent, an IBM company, is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent's data streaming platform powers apps, analytics, and AI with real-time, context-rich data. Our cloud-native offering is the foundational platform for data in motion: the intelligent connective tissue enabling real-time data from multiple sources to continuously stream across the organization. With Confluent, our customers can meet the growing demand for rich digital customer experiences and real-time business operations. Our mission is to help every organization harness data in motion so they can compete and thrive in the modern world.
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