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

Entering the industry today

AA: Last question. Consider the aspiring data scientists, and the next generation of future AI experts, leaders, and people transitioning to the field. What advice can you share with them about building a successful career in this space, in particular in terms of studies? A lot of people get confused:Do I need formal university studies? How much of it is hands-on learning? Can I use massive, open, online courses?

What is your take, having come from academia and now working in the R&D space? What advice can you give them on what’s realistic when developing a career in this field, both maybe in general as a practitioner but also as a researcher?

JW: It’s a very good question. Rather than answering that question directly, what I would say is that the first thing to do is to broaden your notion of what it means to have a career in data science or AI.

For most people, when talking about careers in data science and AI...