From Data to Decisions: Understanding Knowledge Graphs

Hosted by Mahesh Yadav

Fri, Nov 21, 2025

5:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

Agentic AI Product Management Certification
Mahesh Yadav
View syllabus

What you'll learn

What a Knowledge Graph actually is, without math or jargons

Difference between a knowledge graph, a vector databases

How Knowledge Graphs enable RAG, reasoning, personalization

When NOT to use a knowledge graph (& when to use perfectly)

Why this topic matters

Most AI products don’t fail because the models are weak. They fail because the data layer is chaotic, with disconnected tables, duplicated facts, inconsistent definitions, and no shared understanding across systems. This is where Knowledge Graphs change the game. Knowledge Graphs give AI the ability to understand entities, relationships, meanings, and context, enabling Better recommendations.

You'll learn from

Mahesh Yadav

Ex-GenAI Product Lead at MAANG Firms l AI PM Coach l 10k+ Alumni

Mahesh has 20 years of experience in building products at Google, Meta, Microsoft, and AWS AI teams. Mahesh has worked in all layers of the AI stack, from AI chips to LL,M and has a deep understanding of how using AI agents companies ship value to customers. His work on AI has been featured at the Nvidia GTC conference, Microsoft Build, and Meta blogs. :

His mentorship has helped various students build real-time products & careers in the Agentic AI PM space.

Whether you're a hobbyist or a professional looking to get a grasp on GenAI Product Management, feel free to join our channels for more such sessions


Previously at

Google
Meta
Microsoft
Amazon Web Services

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.