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