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Generative AI Product Strategy Framework
If you are an AI/ML Product Manager and are looking for a boilerplate framework to get your Generative AI Product Strategy started, here’s a downloadable Product Strategy sheet, designed specifically with keeping in mind, the unique challenges while using the Gen AI technology. The steps include:
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Product Bulb Podcast : Ep. 01
Pricing Strategies for AI Products Our inaugural episode, is all about “Pricing Strategies for AI Products” – a topic often shrouded in ambiguity for many AI engineers and Product Managers. With the burgeoning landscape of applied Generative AI features/products, the timing couldn’t be more perfect. Our esteemed guest for this episode is Shah Choudhury from Salesforce. Shah,…
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Product Teams Vs Feature Teams
Core part of a successful company is an empowered product team. A team which has ownership of solving business problems, and one that is accountable for the solution built and deployed. Every team, be it product, engineering, design, sales or marketing, has a product hat to play – meaning is the owner and is accountable…
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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…