Three Must Read Data and Analytics Books with...

Learn why an organization’s ontology, a structured framework for how a business defines, connects, and makes sense of its data and knowledge, is the most valuable and most overlooked asset in any AI strategy. Jessica Talisman, CEO and Founder of The Ontology Pipeline, and Tony Se ...  Show more

Discover how WHOOP is building an AI-powered health data infrastructure that is redefining how we understand human health. Emily Capodilupo, Senior Vice President of Research, Algorithms, and Data at WHOOP, explains how continuous physiological data is uncovering new opportunitie ...  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 ...