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

Why AI projects fail

AA: We’ve talked about developing these products, but we also should mention that, often, we read articles that cite a Gartner report in which it states that supposedly 85 percent of projects fail in the broader data science and AI space. Do you agree with that, and if so, what is happening?

JTW: That’s a great statistic that you can just riff on for quite a while. I believe Gartner has one of those statistics, but also I’ve seen a statistic in the context of MLOps platforms, basically complaining that models don’t make it into production. To me, those are different things because just because a model doesn’t make it into production doesn’t mean the project is a failure.

As an analogy, I work for a drug company. Over 80 percent of vaccines fail, but I don’t hear people complaining about how 80 percent of vaccines fail, because that’s the nature of science. You do your best with the data. You do your...