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Details

AI initiatives often start from scattered complaints, but those frustrations can actually reveal a clear bottleneck.

In this first AI practitioner discussion, we break down a practical way to uncover the real source of slowdown by listening to patterns in how people describe delays.

You’ll learn a lightweight approach for:

  • Collecting recurring signals from day-to-day work
  • Turning vague frustration into clear, observable inputs
  • Identifying the limiting factor that keeps outcomes from improving
  • Using the findings to guide smarter next steps (without jumping straight to solutions)

No camera is needed and you can join, engage with other attendees and learn.

All who attend will receive a detailed runbook for tracking and uncovering AI opportunities at check-in.

What you leave with:

  • A written protocol for the listening week: numbered, specific, and short enough to read in four minutes. Finished today, not someday.

Registration:

Reserve your spot.
If you’re working on complex projects; AI or otherwise; this framework helps you move from guesswork to clarity.

Related topics

Artificial Intelligence
Artificial Intelligence Applications
Artificial Intelligence Machine Learning Robotics
Artificial Intelligence Programming

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