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Creators of Intelligence

Creators of Intelligence

By : Dr. Alex Antic
4.7 (7)
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Creators of Intelligence

Creators of Intelligence

4.7 (7)
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)
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1
Chapter 1: Introducing the Creators of Intelligence

Getting into data

Alex Antic (AA): Were there any particular people or events that inspired you or changed the course of your career trajectory early on?

Althea Davis (AD): This is not the answer that you’re probably going to expect, but I will tell you because it’s the truth.

I worked on really large portfolios of projects at banks, and I started to become aware of the power of data when I was working in retail, but I really got into it when I started working in the financial industry.

At that time, I worked on large portfolios. These were portfolios with tons of implementation projects. It was IT. But back in the day, IT meant doing IT and data. How I fell into it was that it was within my purview that I had to work on it, but a lot of the time when we tried to divide up the work between the teams, I noticed that a lot of the guys who were so-called “superstars” in doing the programs and projects steered away from the nasty parts of the project...

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