Confluent tackles enterprise AI agent complexity with Streaming Agents platform

For all the hype around enterprise AI agents, most organizations remain stuck in somewhat of a "prototype purgatory." The challenges are becoming increasingly apparent: fragmented data infrastructures, the complexity of stitching together real-time data with AI reasoning, and the reality that autonomous systems making decisions on stale information can be both unreliable and risky for business operations.

This week, Confluent unveiled Streaming Agents, embedding agentic AI directly into Apache Flink stream processing pipelines in what represents the data streaming vendor's most direct bid yet to become essential infrastructure for the next wave of enterprise AI applications - and to help buyers overcome the risks and challenges noted above. The move comes as organizations grapple with moving beyond AI experimentation - IDC research shows that while enterprises ran an average of 23 generative AI proofs of concept between 2023 and 2024, only three reached production, and just 62% of those met expectations ...