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

Using graphs for AGI

AA: I’d like to get your thoughts on AGI. Do you think graph representation learning is one of the paths forward? What about algorithmic reasoning, another area that you’re working on? How do you see the field of AGI emerging? Do you think it’s something that’s attainable?

PV: That’s a very important question, and one that we must be increasingly mindful of as we become more powerful in building these kinds of systems.

Should we be using graph representation learning as part of AGI? I wholeheartedly think we should be. Think about a truly generally intelligent system: what does such a system (likely) do? It first extracts meaningful concepts out of all of that richness of real-world signals. How does such a model then know how to make conclusions and go forward in their life, so to speak? They do so by taking all the concepts, relating them to past experiences, and using reasoning arguments to derive new pieces of knowledge...