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Product Bulb Podcast : Ep. 02
Navigating your Data Science Career – From IC to Leader The role of a data scientist has evolved into a complex potpourri of statistics, ML/AI, software engineering, data engineering, applied product development, product evangelization and sales, and so on. Consequently the role of AI leaders and managers requires a great nuance and balance in terms…
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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…
Product Bulb 