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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

It was a great opportunity to speak with Jon in his capacity as Data61’s director.

I enjoyed discussing the importance of entrepreneurship to help translate research into real-world impact, and the need to also foster basic AI skills and understanding in all disciplines to help enable university graduates to be AI-ready.

I agree with Jon’s views that universities need to take the lead on teaching the ethics of technology across the curriculum, rather than it being a standalone course, and to ensure that the technologists developing AI have a solid foundation in it.

He also provides some pragmatic advice to operationalize AI ethics principles, including developing design patterns, guidelines, and assessment frameworks to support technologists that are building systems.

We discussed the career opportunities for inter-disciplinary data scientists; people whose primary qualifications are in another discipline (such as law or astronomy), who then add data...

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