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 … Continue reading Data Science Leadership Series – Part 3: Building Great Products by Balancing Product and Engineering Mindsets
Category: Data Leadership
AI Product Management in Cybersecurity: McKinsey’s Three Horizons of Growth ? Flip it for startups, keep it for mega corps
What’s McKinsey’s Three Horizons of Growth ? The McKinsey’s Three Horizons of Growth is a management framework first introduced in the book “The Alchemy of Growth” published in 2000, which has since been referenced by top product strategists to help businesses execute existing business models while simultaneously innovating and pushing the boundaries and creating new … Continue reading AI Product Management in Cybersecurity: McKinsey’s Three Horizons of Growth ? Flip it for startups, keep it for mega corps
The Game Changer: Large Language Models Unleashing the Power of AI in Cybersecurity
Applied Machine Learning and AI in cybersecurity is slowly growing into mainstream industry, not just as an add-on anymore. As threat actors have started automating and streamlining a lot of their attack pipelines using off the shelf Large Language Models, the good actors are essentially forced to catch up with them ! It’s not just … Continue reading The Game Changer: Large Language Models Unleashing the Power of AI in Cybersecurity
Data Science in Venture Capital – An Overview
I have been recently doing some research on applied Machine Learning and AI in Venture Capital (VC) funds, and it's a really interesting rabbit hole to go into, especially if you yourself are interested in either startups (as a would-be founder / employee) or in VCs themselves as to how they work as data driven … Continue reading Data Science in Venture Capital – An Overview
Data Science 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 … Continue reading Data Science Leadership Series – Part 2 : How to choose data projects: Core Product Vs Support Consulting Vs Research | Beware of your bottomline
Data Science Leadership Series : Part 1 – The need for AI Product Management
People keep talking about data science 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 a successful data teams. Few tech companies like the Googles and Microsofts of the world have got this working like a well-oiled … Continue reading Data Science Leadership Series : Part 1 – The need for AI Product Management





