Artificial Intelligence News (@knowentry.com)

The three disciplines separating AI agent demos from real-world deployment AI agents fail in production for predictable reasons: fragmented data, undefined workflows, and runaway escalation. Burley Kawasaki of Creatio outlines three disciplines — data virtualization, bounded use-case loops, and agent monitoring with real KPIs — that enterprise teams are using to reach 80–90% agent autonomy without multi-year data overhauls. https://venturebeat.com/orchestration/the-three-disciplines-separating-ai-agent-demos-from-real-world-deployment