AI agents promise to automate work - but without deep, unified context, they’re still just filing cabinets, only working faster than we can. In this session, we’ll explore why most teams are stuck paying a “productivity tax,” spending more time maintaining systems than actually driving growth.
You’ll unpack the architectural shift from legacy systems of record to context-rich systems of intelligence, and why unified, self-updating data is essential for truly agentic teams. Learn how to close the “context gap,” eliminate fragmented tech stacks, and build AI agents that don’t just respond — but proactively drive real impact.
