Episode
Jordan Fisher — Skipping the Line with Autonomous Checkout
- Published
- Aug 4, 2022
- Duration seconds
- 3478
- Processing state
failed- Canonical source
- https://wandb.ai/site/resources/podcast
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Summary
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 Intro 00:40 The origins of Standard AI 08:30 Getting Standard into stores 18:00 Supervised learning, the advent of synthetic data, and the manifold hypothesis 24:23 What's important in a MLOps stack 27:32 The merits of AutoML 30:00 Deep learning frameworks 33:02 Python versus Rust 39:32 Raw camera data versus video 42:47 The future of autonomous checkout 48:02 Sharing the StandardSim data set 52:30 Picking the right tools 54:30 Overcoming dynamic data set challenges 57:35 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