In this episode of The Thinking Leader, Bryce Hoffman engages in a thought-provoking conversation with Chris Butler, Lead Product Manager at Google, shedding light on Google's core machine learning infrastructure. 
 
The discussion centers on intricate aspects such as strategy, team dynamics, and infrastructure, while placing importance on eliminating unnecessary processes and focusing on simplicity. Chris speaks on the significance of working assumptions in business, based on his learnings from Ford Motor Company. 
 
Bryce & Chris explore the opportunities to harness the power of AI and how to effectively use machine learning systems They discuss how AI and human decision-making can work with applied critical thinking skills in guiding leaders.
 
In this episode:

Why you need to remove processes, not just add them
How to turn divergent thinking into convergent thinking
The limitations with current AI language learning models
How to use randomized constraints to improve your decision making

 
Find out more about The Uncertainty Project: https://www.theuncertaintyproject.org/
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Bestselling business author Bryce Hoffman and agility expert Marcus Dimbleby talk about decision making, strategy, resilience and leadership with some of the world’s best CEOs, cognitive scientists, writers, and thinkers in this weekly podcast. Each episode offers new ideas and insights you can use to become a better leader and a better thinker – because bad leaders react, good leaders plan, and great leaders think!