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The Product Bulb Podcast Ep. 05: AI Engineers to Product Leaders: The Path to PM | with Dr. Nancy Li
In this episode of the Product Bulb podcast, we sit down with the renowned Dr. Nancy Li, a product leader and mentor to thousands of aspiring product managers. Known for her expertise in helping professionals transition into product management roles, Dr. Li shares her unique insights on how AI engineers, data scientists, and technical professionals…
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The Product Bulb Podcast Ep. 04: AI – Blockchain Analytics – Finding Product Market Fit – the bitsCrunch Story
AI driven NFT Analytics and Forensics – sounds simple enough..or is it ?! What does it take to build a decentralized data analytics platform ? What are its use cases ? Join me as I delve into the world of decentralized data analytics platforms for NFTs and other digital assets on The Product Bulb podcast!…
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The Product Bulb Podcast Ep. 03: The Topmate Tale – A window into building a thriving startup in India
India’s startup ecosystem has experienced exponential growth in recent years, emerging as one of the world’s most vibrant and dynamic landscapes for innovation and entrepreneurship. Fueled by a confluence of factors such as a burgeoning spending power and widespread digital adoption, the Indian startup scene has evolved into a hotbed of creativity, attracting talent, investment,…
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Guide to Generative AI Metrics and KPIs for AI Product Managers
Metrics and KPIs are fundamental parts of any product strategy. They require a whole another level of insight and granularity when it comes to the ever changing and growing world of applied Generative AI applications. Understanding Gen AI metrics and KPIs is crucial for AI product managers for several reasons: Let’s break down these metrics…
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What’s LLM Observability ? Latest tools to look out for
2024 is looking to be the year where a lot of applied Large Language Models (LLMs) from enterprise companies, other than the creators of the foundation LLMs, are going to come out of the Proof of Concept (POC) phase to actually being used by their customers. It’s gonna be a year of trial and error,…
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The Plentiful Cybersecurity Problem: Too Many Vendors, Too Little Product Sense
Let’s get one thing out of the way – the market opportunity for cybersecurity as a whole – in the next 5 years, is humongous. Gartner predicts it will reach $267 billion in 2026, with an annual growth rate of 11%. If there is one domain where you find it difficult to find experienced professionals,…
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AI product Leadership Series – Part 3: Building Great Products by Balancing Product and Engineering Mindsets
I wrote about why we need AI Product Management when building complex data products in a previous post in the Data Science Leadership Series, and I feel this has to be followed by a very important topic that almost every single software development team faces, especially in high growth startups where the speed of innovation and the…
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AI product Leadership Series – Part 2 : How to choose data projects: Core Product Vs Support Consulting Vs Research | Beware of your bottomline
The biggest challenge for data scientists / managers in decision making capacity and one with the biggest consequential outcome for both the business and the data team, I feel, is the part where you say yes / no / let’s modify – to a new data project idea from leadership, or even starting a new…
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AI Product leadership series- part 1: The need for AI Product Management
People keep talking about AI and Machine Learning being such a rewarding and lucrative career, but I feel it’s time to talk about the serious gaps that’s been bugging this field, in terms of operationalizing successful data teams. Few tech companies like the Googles and Microsofts of the world have got this working like a…
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