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

Igor Halperin Watches the Markets

Having started my career as a quantitative analyst (quant) – a specialist who applies mathematical and statistical methods to financial and risk management problems – it was exciting to speak with Buy-Side Quant of the Year winner Igor Halperin.

Igor has experience working for leading financial organizations, from his current role at Fidelity Investments, as well as previous roles at JPMorgan Chase, and Bloomberg LP. He also has a strong academic background, including a PhD in theoretical physics. Igor is well versed in the technical underpinnings of machine learning (ML) in finance, including both the opportunities and challenges in this sector.

I was eager to get his views on the adoption of ML in the quant space and its broader applications to financial services.