Free Lesson

Experimentation in GenAI Era: Challenges and Mitigation

Part of The AI Evaluation Handbook

Hosted by Mirza Rahim Baig

Fri, Jul 3, 2026

5:30 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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GenAI for Leadership
Mirza Rahim Baig
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What you'll learn

Why traditional A/B testing falls short

See how GenAI breaks traditional testing frameworks through spillage, SUTVA failures, and constantly evolving models.

Design metrics for AI-driven development

Learn practical frameworks to design metrics and measure success even when AI treatments and feedback loops change.

Apply real-world mitigation playbooks

Walk through case studies from leading companies to learn practical fixes for GenAI experimentation challenges.

Why this topic matters

GenAI accelerates development, but traditional A/B testing wasn't built for evolving models, spillage, and SUTVA failures. Teams that can't adapt risk shipping AI features blind. We'll explore why old frameworks break down and share real case studies to help you design metrics that turn GenAI from unpredictable noise into measurable growth.

You'll learn from

Mirza Rahim Baig

16 yrs AI & Data, 3x Author, Mentor

 Mirza Rahim Baig is the founder of Baig Academy, an AI and data practitioner, and the author of three books on applying AI in real organizations. He works with enterprise teams across Europe and the GCC region and keeps seeing the same experimentation failures repeat as GenAI features ship faster than measurement practices can catch up. He built this session to close that gap.

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