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 →
Decision Sciences in the Enterprise
In my role as the Analytics Leader in a Fortune 500, I spend a lot of my time thinking about how to make Decision Sciences real in the Enterprise. The two main focus areas that Enterprises need to think about to start extracting value from Big Data and AI are: Moving from Discovery to Implementation:... Continue Reading →
Epistemic systems
One topic that often comes up when we meet family is that of children - education and career. And the discussion morphs into passion and purpose. And something that everyone of us desires of ourselves and our children - what if education and careers truly align with passion and purpose. The ikigai infographic was doing... Continue Reading →
Celebrating the learning and curious mindset 