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

Summary

It was great to learn about Kathleen’s journey to becoming a successful and respected data and analytics leader. As with most of our interviewees, she ended up in the data field via other disciplines and somewhat by accident. She also offers some very important advice for increasing diversity and inclusion, such as searching out women and people of color to ensure diversity in hiring. Publishing a role and assuming they may apply for it is not enough.

I really like Kathleen’s replacement of the commonly used Gartner Analytics Maturity curve with the concept of an ecosystem, rather than a linear path. Jason Widjaja raises a similar point, in that the business value that an analytics function drives is the measure of its maturity, not whether it is descriptive or prescriptive. Kathleen’s point is that descriptive/investigative analytics is always required – with a direct alignment to business needs – which translates to an ecosystem of different...