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 do AI projects fail?

AA: I don’t know if you’re seeing the same thing, but I hear a lot of statistics around failure rates in AI – something like 80 or 85 percent. Assuming you agree that there’s some truth in that, what do you think is the main reason? Technology is cheap and easy to obtain. Data is everywhere – we’re drowning in it. Where are organizations going wrong?

KB: Well, I’d like to know the origin of that number, first of all. As I said earlier, I believe strongly in the “fail fast to learn fast” principle. If you fail four times out of five in order to get something right one of those five times, then you have an 80 percent failure rate, but I think that’s acceptable. If you just deploy the first thing you build, that’s probably not going to be a good idea. You probably want to find the failure cases, or what they call edge cases. A perfect example of that is self-driving automobiles. There...