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April 2-3, 2026
New York, NY
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


Thursday April 2, 2026 4:30pm - 4:55pm EDT
MCP is a strong foundation for building AI agents, enabling fast iteration, clear boundaries, and safer early deployments. But as agents move from prototypes to products customers rely on, product teams begin to hit limits around reliability, user experience, observability, and long-running workflows.

In this talk, I’ll share a product leader’s perspective on how MCP-based agent systems evolve in production. We’ll explore the product signals that indicate when MCP-only approaches start to constrain outcomes, and how teams can extend MCP-driven systems to meet higher expectations around trust, clarity, and control. Attendees will leave with a practical framework for scaling MCP-based agents from experimentation to dependable products.
Speakers
avatar for Cansu Berkem

Cansu Berkem

Director of Product Management, Datadog
Cansu Berkem is a Director of Product Management at Datadog, leading AI and Service Management platforms, and the product leader behind Bits AI, a generative AI copilot focused on building trusted, agentic AI systems in production. She has 15+ years of experience building AI, data... Read More →
Thursday April 2, 2026 4:30pm - 4:55pm EDT
Juilliard Complex (5th Floor)
  Apps and Agents
  • Audience Experience Level Beginner
  • Session Slides Yes

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