Sponsored by: IBM | Extend your Databricks Architecture with Real-time Context

AI agents can dramatically accelerate your ability to react to new information and make trusted decisions — but only when they have the right context from your data. However, preparing data sets for each individual AI use case is time consuming and expensive — hindered by fragmented data landscapes, inconsistent governance, and data complexity. In this session, learn how to power AI agents with real-time context from unstructured and structured data across hybrid data landscapes — without migration. Empower your AI agents, and your business, to act with confidence.