We've introduced a data framework of 4 key pillars in prepping for a ML implementation. This episode is about the first pillar, data infrastructure.

Ready to move on an AI implementation, but not sure how to start? On this episode, we provide you with a framework to help you get started. In a series of upcoming episodes, we'll walk you through the five pillar framework step by step.

Our guest is Matthew Ringman, an experienced supply chain expert in in the aerospace manufacturing industry. He shares a wealth of information coming from his work in the industrial distribution space! Enjoy!

Upon graduation, Alex Townes joined a company called Anixter that was later bought by Wesco. Alex shares his journey with us and day to day offering insights on the career path and opportunities in Industrial Distribution. Listeners are in for a treat!

Are you ready for radical ideas to get radical change? We're talking double-digit growth kind of radical change for your industrial business! If so, we have the show for you! In Episode 28 Author & Sales Engineering Process Thought Leader, Justin Roff-Marsh shares concepts to get you there from his book, The Machine: A Radical Approach to the Design of the Sales Function. Justin has been helping businesses grow for over three decades at Ballistix, and we promised you'll enjoy this conversation. Once you see it, you can't unsee it! You can find Justin at

https://ballistix.com/ and grab a copy of his book at

https://www.amazon.com/Machine-Radical-Approach-Design-Function/dp/1626342245

Check out his documentary:

https://www.youtube.com/watch?v=1yoXmo_s_Bc

There are already countless cases of AI gone wrong, many of which we've covered on the show. Today, we look at 7 AI breakpoints. Some of them will surely surprise you. Maybe AI is already more like humans that we thought. What do you think?

Show Notes:

Choi's article: https://spectrum.ieee.org/ai-failures

Erik Larsen's book: https://www.hup.harvard.edu/books/9780674278660

Playbook: https://haas.berkeley.edu/wp-content/uploads/UCB_Playbook_R10_V2_spreads2.pdf

Database mentioned on other episode: https://incidentdatabase.ai/

AIAAIC: https://www.aiaaic.org/aiaaic-repository

Governments and AI Companies are crafting legal frameworks that will shape the future of AI. It's important that business leaders understand the ethical foundations of these conversations and work toward explainable AI (AIX). In this episode Lee identifies five steps to help leaders grapple with the ethical foundations and then highlights five benefits that companies can obtain from the effort and need to use explainable AI from McKinsey's article "Why Businesses Need Explainabile AI and How to Deliver it. https://www.mckinsey.com/capabilities/quantumblack/our-insights/why-businesses-need-explainable-ai-and-how-to-deliver-it

How far are you willing to go for an amazing cup of joe? Regardless of your answer, we're willing to bet that today's guest can best you on that quest. Bobby Katoli's journey for great coffee took him all the way down to South America where he braved harsh elements as well as the dangerous drug cartels even stowing away for days in cargo ships. Along the way, he not only found the key to preserving the quality of the "nectar of the gods," he also found a way to improve the supply chain using AI.

Join us as he explains how he and his team have developed technology to manage multi-tier supply chain risk far outperforming the big 3 consulting firms.

https://www.cerestech.co/