Free Lesson

Build Your AI Moat: The Data Strategy Playbook for PMs

Hosted by Mahesh Yadav

Fri, May 22, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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249 students

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What you'll learn

Decode AI Complexity: Know Exactly What Data You Need

Learn the Low/Medium/High complexity framework to match data volume & sourcing strategy to each task - no over-building.

Design a Data Strategy Template That Ships Faster

Walk away with a PM-ready data strategy template covering sourcing, storage, augmentation, compliance, & feedback loops.

Navigate Data Compliance Without Killing Your Roadmap

Understand GDPR, CCPA, and AI Act requirements so data governance stops blocking your sprints & slowing your team down.

Lead AI Teams as the Data-Smart PM on Any Project

Use build-vs-buy decisions, budget frameworks, & SME engagement strategies to lead data prep.

Why this topic matters

Every AI product's competitive moat comes down to one thing: data. Base models are commoditizing fast — GPT-4, Gemini, Llama are table stakes. The PMs who win are those who can align data strategy to business goals, match complexity to the right sourcing approach, and lead teams through compliance without stalling. This session gives you the exact frameworks and templates to do that from day one.

You'll learn from

Mahesh Yadav

Ex AI Product Lead -Google l Meta l Microsoft l AWS | 10k+ Alums l Founder - Agentic AI Institute

Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.

Previously at

Google
Amazon Web Services
Meta
Microsoft
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