The provided text is a set of slides from a presentation titled "AI for Product Managers". This presentation is designed for practitioners in the field of product management who have completed advanced training in the area. The presentation aims to guide participants through the fundamentals of AI and machine learning, showing how AI can be used to develop products and build a career in the field. The presentation focuses on using AI to build and refine chatbots, identifying and solving problems, deploying AI models, and understanding the ethical considerations of using AI. The presentation also covers topics like data types, supervised vs. unsupervised learning, and the principles of AI product lifecycle management.

AI For Product Managers By Naivedya Jain

The podcast explores eight key frameworks used to develop winning business strategies, illustrated with real-world examples from companies like Zomato, Swiggy, LinkedIn, Microsoft, and Google. The frameworks cover a range of topics, including strategic choice, competitive analysis, core competencies, and strategic arenas. By examining how these companies have applied these frameworks, the document provides insights into how businesses can develop and maintain competitive advantage.

Product Strategy Bytes

This podcast episode that explains the concept of product metrics for individuals interested in learning about them in a time-efficient manner. The author, Naivedya Jain, brings over a decade of experience in product management with companies like Walmart and Paytm. 

It provides an overview of various product management metrics and frameworks, highlighting the importance of constructive iteration in product development. It introduces the PIRATE, HEART, and BJ FOGG’S models as methods for measuring product success, and the EISENHOWER matrix for time management. 

Also includes a practical activity to apply BJ FOGG’S model to increase user engagement on chosen apps.

Product Metrics Explained

🎧 Stuck in traffic? Turn your commute into a PM masterclass!

Just dropped a new podcast episode: "Taking AI from POC to Production" 🚀




Here's what you'll learn in your next traffic jam:

- Why 80% of AI projects fail between POC and production

- The EXACT metrics that matter (beyond just accuracy!)

- Real resource trade-offs no one talks about

- That tricky balance between ethics and execution
🔥 Key highlights:

- A framework to select the right AI model (hint: most expensive isn't always best)

- Production-ready monitoring dashboards you can steal

- Cost optimisation strategies that will make your CFO smile

- Team structures that actually work

⚡Quick preview of metrics that matter:

High Performance + Low Cost = Sweet Spot

But HOW? 

We break down:

- P95 latency targets

- Cost per 1M predictions

- Scaling thresholds

- Ethics guardrails

🎯 Perfect for:

- PMs navigating the AI landscape

- Leaders scaling AI initiatives

- Teams stuck in the POC-to-Production gap

- Anyone who wants to understand AI beyond the hype

💡 Bonus: Includes real examples from my 10+ years of launching AI products at scale.

naivedya jain

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