Build trusted AI on a real-time data foundation with IBM and Confluent

AI agents need more than fast data. They need live signals to respond in real time, context to understand what the data means, and governed data products they can trust. In this session, we will share how Confluent and IBM help organizations move beyond the old batch-versus-streaming debate and build a smarter architecture for AI. We will show how real-time data can be delivered without forcing every team to become streaming experts, how context from lineage, metadata, and governance helps ground agent decisions, and how streaming data can be turned into durable, reusable data products for AI and analytics. The result is a stronger foundation for enterprise AI: faster, more trusted, and ready for action.