James Cham — Investing in the Intersection of Business and Technology

James Cham is a co-founder and partner at Bloomberg Beta, an early-stage venture firm that invests in machine learning and the future of work, the intersection between business and technology.James explains how his approach to investing in AI has developed over the last decade, which signals of success he looks for in the ever-adapting world of venture startups (tip: look for the "gradient of admiration"), and why it's so important to demystify ML for executives and decision-makers.Lukas and James also discuss how new technologies create new business models, and what the ethical considerations of a world where machine learning is accepted to be possibly fallible would be like.Show notes (transcript and links): http://wandb.me/gd-james-cham---⏳ Timestamps: 0:00 Intro0:46 How investment in AI has changed and developed7:08 Creating the first MI landscape infographics10:30 The impact of ML on organizations and management17:40 Demystifying ML for executives21:40 Why signals of successful startups change over time27:07 ML and the emergence of new business models37:58 New technology vs new consumer goods39:50 What James considers when investing44:19 Ethical considerations of accepting that ML models are fallible50:30 Reflecting on past investment decisions52:56 Thoughts on consciousness and Theseus' paradox59:08 Why it's important to increase general ML literacy1:03:09 Outro1:03:30 Bonus: How James' faith informs his thoughts on ML---Connect with James:📍 Twitter: https://twitter.com/jamescham📍 Bloomberg Beta: https://github.com/Bloomberg-Beta/Manual---Links:📍 "Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions" by Ali Alkhatib and Michael Bernstein (2019): https://doi.org/10.1145/3290605.3300760---💬 Host: Lukas Biewald📹 Producers: Cayla Sharp, Angelica Pan, Lavanya Shukla---Subscribe and listen to our podcast today!👉 Apple Podcasts: http://wandb.me/apple-podcasts​​👉 Google Podcasts: http://wandb.me/google-podcasts​👉 Spotify: http://wandb.me/spotify​

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Gradient Dissent is a machine learning podcast from Weights & Biases with hosts Lukas Biewald, Lavanya Shukla and Caryn Marooney. It takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at NVIDIA, Meta, Google, Lyft, OpenAI, and more.