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, … Continue reading The Plentiful Cybersecurity Problem: Too Many Vendors, Too Little Product Sense

Data Science in Venture Capital – An Overview

Featured ~ Harini Kannan ~ Leave a comment

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

Featured ~ Harini Kannan ~ 2 Comments

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