From PoC to Production: Building an Enterprise-Ready Agent Workforce

Building an AI agent is easy. Getting it into secure, scalable, production use is where most enterprises stall.

As enterprises push toward agentic AI, many initiatives stall at the proof-of-concept stage, blocked by governance gaps, infrastructure complexity, and operational risk.

In this on-demand conversation, originally hosted with CIO.com and Foundry, DataRobot VP of Product Romi Datta breaks down why agent demos struggle to reach production, and what it really takes to operationalize agents at scale.

What you’ll learn:
  • Why demo-ready agents rarely translate into enterprise-ready systems
  • What it truly takes to operationalize agentic AI from day 0 through day 90
  • How to manage the full agent lifecycle from build and evaluation to deployment, monitoring, and governance
  • How to move from isolated experiments to a coordinated, governed digital agent workforce
Who should watch:
  • CIOHead of AI
  • Chief Data Officer
  • Chief Data Science Officer
  • Chief Analytics Officer
  • VPs of AI/ML, Data Science, Data, Analytics

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