This blog is dedicated to Socrates - and the method of getting to the essence of a problem by relentlessly working to strip the noise and focusing on the real ‘Why’ behind a problem. Do we always have the time and the ability to stay at a problem until clarity emerges? Moreover, in the quest... Continue Reading →
Building a world-class Problem Solving team
In my role as Head of Data Science and Analytics, the single most important problem that I am trying to solve is: What does a world-class team look like? How should you build and more importantly, sustain such a team? It is always best to start with a few basic axioms (I call them so... Continue Reading →
AI as a General Purpose Technology
It is very rare that any technology gets elevated to this status - most technologists however, do agree that AI should make the cut: along with the internal combustion engine, electricity and the internet. Many definitions exist, here's one: 1. Pervasiveness – The GPT should spread to most sectors. 2. Improvement – The GPT should... Continue Reading →
Enterprise AI: There are Features and then there are Features
Data science has come through the world of statistics – where you are taught hypothesis driven feature selection and engineering. In other words, a priori business understanding drives the feature selection. That in itself, creates the problem of availability bias. And to top that, a typical statistical model would favor stronger features over weaker ones.... Continue Reading →
Culture in the Workplace
Enough said about this already - suffice it to say that culture is the single most important determinant of success for any team - and even more so in Analytics and Data Science. Lots being talked about this topic - here is a great interview of Amy Edmonson who has written a book on the... Continue Reading →
Celebrating the learning and curious mindset 