Book Image

Creators of Intelligence

By : Dr. Alex Antic
Book Image

Creators of Intelligence

By: Dr. Alex Antic

Overview of this book

A Gartner prediction in 2018 led to numerous articles stating that "85% of AI and machine learning projects fail to deliver.” Although it's unclear whether a mass extinction event occurred for AI implementations at the end of 2022, the question remains: how can I ensure that my project delivers value and doesn't become a statistic? The demand for data scientists has only grown since 2015, when they were dubbed the new “rock stars” of business. But how can you become a data science rock star? As a new senior data leader, how can you build and manage a productive team? And what is the path to becoming a chief data officer? Creators of Intelligence is a collection of in-depth, one-on-one interviews where Dr. Alex Antic, a recognized data science leader, explores the answers to these questions and more with some of the world's leading data science leaders and CDOs. Interviews with: Cortnie Abercrombie, Edward Santow, Kshira Saagar, Charles Martin, Petar Veličković, Kathleen Maley, Kirk Borne, Nikolaj Van Omme, Jason Tamara Widjaja, Jon Whittle, Althea Davis, Igor Halperin, Christina Stathopoulos, Angshuman Ghosh, Maria Milosavljevic, Dr. Meri Rosich, Dat Tran, and Stephane Doyen.
Table of Contents (23 chapters)
1
Chapter 1: Introducing the Creators of Intelligence

Getting into AI

Alex Antic: What inspired you to become a leader in the field of data science and AI? Were there any particular people that were your inspiration? Was it a passion for maths, stats, and problem-solving that you had when you were young? What keeps you excited and fascinated to stay in the field?

Angshuman Ghosh: This is one question I get a lot, and it’s a very good question.

Honestly, for me, it was not planned. When I learned some of the basics of the field, data science did not exist. There were maybe some of the fundamental disciplines. I think you also did your PhD a while back, in 2002. At that time, you maybe learned math, stats, programming, and more, but nobody called it data science. It was not as sexy as it is today, but the foundational disciplines were all there.

In these foundational disciplines, there are three core pillars that are essential to data science. One of them you already mentioned – mathematics and statistics. The second...