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Many organizations are already building AI agents, yet struggle to determine when an experiment becomes a real product.

In this session, we will focus on how to properly define an MVP for AI agents, and on the importance of a single, clear North Star Metric that enables teams to measure success, build trust, and make informed management decisions.

We will explore the difference between a pilot that works and an MVP that delivers measurable business value, and present practical principles for selecting the right use case, defining metrics, and progressing from demo to production.

This session is intended for executives, data professionals, and technology leaders who aim to turn AI from an experimental tool into a true operational capability.

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