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  • Book Overview & Buying Creators of Intelligence
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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

Summary

I’ve previously discussed with Kshira various common reasons that data science projects fail to meet their full potential, so it was great to speak in more detail about some of these challenges and pitfalls and to discuss ideas to help overcome them.

Kshira offered some great strategies and advice for anyone facing similar obstacles or having trouble scaling their data science capability. He offered similar advice to Jason Widjaja in that being data-driven ultimately means decision-makers changing their minds in line with what the data is telling them. This often necessitates decision-makers becoming data literate, so they can better understand what data science can and can’t do – and, at least conceptually, how it works. According to Kshira, the greatest challenge is asking the right questions – which is a skill. In addition, when it comes to turning that data into scalable and repeatable actionable insights, it’s important to have data...

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Creators of Intelligence
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