Three Must Read Data and Analytics Books with...

Explore how a global supply chain company turned its data platform into a customer-facing product designed to operate at the speed of disruption. Boris Rabkin, Chief Information Officer at Ligentia, shares how the company executed that shift through a deliberate phased approach a ...  Show more

Understand how to close the gap between AI experimentation and enterprise production. Shub Agarwal, Founder of the AI Trust Lab at USC and author of Successful AI Product Creation: A Nine-Step Framework, shares his AI product management framework for taking enterprise AI strategy ...  Show more

In this podcast episode, Avery talks with Akshay Swaminathan, co-author of the book 'Winning with Data Science: A Handbook for Business Leaders.

They discuss the vague terms often thrown around in the data science industry and underline the importance of understandi ...

The 100th celebration episode of the Data Career Podcast features a special panel interview conducted by Avery Smith with prominent data content creators, including Ken Jee, Monica Kay Royal, Richad Nieves-Becker, and ...

In this episode of the Data Career Podcast, Avery talks with his childhood friend, Paul Alstrom, about his journey into data analytics from a non-technical background.

Paul emphasises the importance of networking, understanding the business, and getting the requirements ...

<span style="font-weight: 400;">Every business likes to claim that it is "data-driven" or at least "data-informed," but too often, that's not the way things actually work. Data is relegated to an IT function, siloed and, in some cases, boils down to simply producing more repor ...