The missing data link in enterprise AI: Why agents need streaming context, not just better prompts

Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrastructure. Most enterprise data lives in databases fed by extract-transform-load (ETL) jobs that run hourly or daily — ultimately too slow for agents that must respond in real time.One potential way to tackle that challenge is to have agents directly interface with streaming data systems. Among the primar