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

Finding the limits of NLP

AA: The next question is related to NLP, something that you’re quite familiar with. There have been amazing advances. However, one thing I want to ask you is this: what are the real challenges and limits, and will machines ever be able to understand language?

CM: With the advent of NLP, people began to understand how to model sequences and structures. I’m not sure I would call that understanding. On the other hand, does the average undergraduate who takes a psychology class actually understand it?

With what NLP has become, we can do a lot more things product-wise, because there are a lot of interesting things you can do with a product. When you read your Gmail, NLP is quite good at being able to figure out the next sequence of words you want to say. Is that understanding, or is it just surface-level pattern-matching?

What’s happened – and this is where a lot of my research with WeightWatcher comes into play – is...