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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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Chapter 1: Introducing the Creators of Intelligence

Integrating data

AA: Data integration can often be a big challenge for organizations. What are your ideas around the infrastructure processes that are needed to support this?

CM: When you’re going to integrate data from different sources, you have to make sure that that data can be unified. A good example is in the medical industry, where people try to integrate EHR data from different hospitals.

There’s been some research that shows that if you have 40 different hospitals, everyone codes things differently. You can’t just look at the data and say, “Well, here are the labels for the data. This is what it is.” You have to go into the actual details and understand, “Is this the same data?” If you’re just looking at tabular data such as customer profiles, that’s fairly straightforward (but even that has real problems!). But when you start getting into things such as complex legal documents, insurance claims, or medical...

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Creators of Intelligence
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