Data Science Salon Podcast

AI, Product, and Uncertainty with Chris Butler (1/2)

Episode Summary

Welcome to our first two-part episode! Our Senior Content Advisor, Q McCallum, caught up with product manager Chris Butler to talk about the intersection of AI and product. In particular, Chris’s two decades of professional experience have taught him a lot about the role of uncertainty: we dig deep into what that term really means, how much data scientists need to concern themselves with uncertainty in their work, and how this relates to a company’s values.

Episode Notes

This discussion also explores the context around which we collect data, polysocial reality, design individualism, and contextual integrity.  (Yes, we covered a lot of ground in just 45 minutes.)

Because of our tight schedule, Chris and Q had to stop before they could get to their second topic.  That’s why Chris will be back in the next episode to talk about communal computing and what that means for AI.            

bio: Chris Butler is a product manager, writer, and speaker with over 20 years of product management leadership at Microsoft, Waze, KAYAK, and Facebook Reality Labs. He facilitates critical decision making for teams that build new and innovative products and created techniques like Empathy Mapping for the Machine and Confusion Mapping to create cross-team alignment while building AI products. 

He is now Assistant Vice President, Head of Product Operations, at Cognizant where he PM’s the PM experience.Learn more about Chris and his work through his LinkedinTwitter, by reading some of his articles on Medium or watching some of his past talks on YouTube.