Jordan Fisher — Skipping the Line with Autonomous Checkout

Jordan Fisher is the CEO and co-founder of Standard AI, an autonomous checkout company that’s pushing the boundaries of computer vision.In this episode, Jordan discusses “the Wild West” of the MLOps stack and tells Lukas why Rust beats Python. He also explains why AutoML shouldn't be overlooked and uses a bag of chips to help explain the Manifold Hypothesis.Show notes (transcript and links): http://wandb.me/gd-jordan-fisher---⏳ Timestamps: 00:00 Intro00:40 The origins of Standard AI08:30 Getting Standard into stores18:00 Supervised learning, the advent of synthetic data, and the manifold hypothesis24:23 What's important in a MLOps stack27:32 The merits of AutoML30:00 Deep learning frameworks33:02 Python versus Rust39:32 Raw camera data versus video42:47 The future of autonomous checkout48:02 Sharing the StandardSim data set52:30 Picking the right tools54:30 Overcoming dynamic data set challenges57:35 Outro---Connect with Jordan and Standard AI📍 Jordan on LinkedIn: https://www.linkedin.com/in/jordan-fisher-81145025/📍 Standard AI on Twitter: https://twitter.com/StandardAi📍 Careers at Standard AI: https://careers.standard.ai/---💬 Host: Lukas Biewald📹 Producers: Riley Fields, 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​