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

Being a data leader

Some of the specific attributes you have described are – in my mind – those of a great data leader. I’d love to hear your thoughts: what makes someone a standout chief data officer (CDO) or senior data leader in this field? What do you think are some of the key attributes they need to have?

DT: You need great communication skills, and communication skills are not just being able to explain model X but showing how you can use data within the business setting.

You also need to be a great listener. You really need to listen to the business and understand what they want to do. You need to be able to listen, identify the gaps, and work out how to fill them to provide business value.

Those are the key ones. Obviously, you need to be analytical and adaptable as a data person. If one of the approaches that you’re taking is not working, you need to know when to select a different approach.

I also always like people to be entrepreneurial...