Fri, Jul 10, 2026
7:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Fri, Jul 10, 2026
7:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
What you'll learn
Catch AI When It Guesses
Run a 5-minute metric audit before AI-invented definitions shape a roadmap or exec readout.
Validate AI-Generated Numbers
Check denominators and source paths before AI sends the team after the wrong growth or retention driver.
Decide What Is Safe to Share
Use a share/review/reject test before AI output creates rework, false confidence, or compliance risk.
Why this topic matters
AI can produce a clean analysis faster than most people can open the dashboard. That speed helps until the model invents a metric definition, drops a denominator, or turns a weak caveat into a confident recommendation.
In 45 minutes, you’ll learn a practical review workflow PMs, analysts, and operators can use before AI analysis shapes a roadmap, exec readout, or customer decision.
You'll learn from
Paras Doshi
Head of Data (Amazon, Opendoor)
Led data teams at:
