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

Hiring new team members

AA: Are there specific skills and attributes you look for when you hire data scientists and engineers for your teams? Do you put a lot of weight on formal studies as opposed to online courses? Do you look for particular attitudes and aptitudes? How do you try and vet different people to make sure they’re going to fit into your team?

AG: I’ll look at three things here. Firstly, skills; secondly, software (including languages and tools); and thirdly, qualifications.

In terms of skills, it’s clear that maths and statistics skills have to be good, especially for a core data scientist. For a business analyst, not so much, but basic descriptive stats should be there. For a data engineer, not so much either.

Now, coming to the second skill – computer programming. Computer-programming-specific skills will vary based on the role. If it is a data engineering role, the cloud and SQL databases become very important. If it is a data science...