Nimrod Shabtay — Deployment and Monitoring at Nanit

Nimrod Shabtay — Deployment and Monitoring at Nanit

Author: Lukas Biewald April 15, 2021 Duration: 33:59
A look at how Nimrod and the team at Nanit are building smart baby monitor systems, from data collection to model deployment and production monitoring. --- Nimrod Shabtay is a Senior Computer Vision Algorithm Developer at Nanit, a New York-based company that's developing better baby monitoring devices. Connect with Nimrod: LinkedIn: https://www.linkedin.com/in/nimrod-shabtay-76072840/ --- Links Discussed: Guidelines for building an accurate and robust ML/DL model in production: https://engineering.nanit.com/guideli...​ Careers at Nanit: https://www.nanit.com/jobs​ --- Get our podcast on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts​​ Spotify: http://wandb.me/spotify​ Google: http://wandb.me/google-podcasts​​ YouTube: http://wandb.me/youtube​​ Soundcloud: http://wandb.me/soundcloud​ --- Join our community of ML practitioners where we host AMAs, share interesting projects, and more: http://wandb.me/slack​​ Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices: https://wandb.ai/gallery

Lukas Biewald hosts Gradient Dissent: Conversations on AI, a series that moves beyond theoretical discussions to examine how artificial intelligence is actually built and deployed. Each episode features a direct, unscripted talk with a leading practitioner-you’ll hear from engineers and researchers at places like NVIDIA, Meta, Google, Lyft, and OpenAI. The focus is on the tangible challenges and breakthroughs they encounter, from initial research to the complex reality of putting models into production. This isn't about abstract futures; it's a grounded look at the decisions shaping the field right now. Biewald, bringing his perspective from Weights & Biases, steers conversations toward the practical trade-offs and collaborative efforts that define modern AI work. For anyone in technology or business who wants to understand the mechanics behind the headlines, this podcast offers a rare, candid window into the process. You’ll come away with a clearer sense of how ideas become functional systems and what it really takes to operate at the cutting edge.
Author: Language: English Episodes: 100

Gradient Dissent: Conversations on AI
Podcast Episodes
Pete Warden — Practical Applications of TinyML [not-audio_url] [/not-audio_url]

Duration: 53:28
Pete is the Technical Lead of the TensorFlow Micro team, which works on deep learning for mobile and embedded devices.Lukas and Pete talk about hacking a Raspberry Pi to run AlexNet, the power and size constraints of emb…
Pieter Abbeel — Robotics, Startups, and Robotics Startups [not-audio_url] [/not-audio_url]

Duration: 57:17
Pieter is the Chief Scientist and Co-founder at Covariant, where his team is building universal AI for robotic manipulation. Pieter also hosts The Robot Brains Podcast, in which he explores how far humanity has come in i…
Chris Albon — ML Models and Infrastructure at Wikimedia [not-audio_url] [/not-audio_url]

Duration: 56:15
In this episode we're joined by Chris Albon, Director of Machine Learning at the Wikimedia Foundation.Lukas and Chris talk about Wikimedia's approach to content moderation, what it's like to work in a place so transparen…
Emily M. Bender — Language Models and Linguistics [not-audio_url] [/not-audio_url]

Duration: 1:12:55
In this episode, Emily and Lukas dive into the problems with bigger and bigger language models, the difference between form and meaning, the limits of benchmarks, and why it's important to name the languages we study.Sho…
Josh Bloom — The Link Between Astronomy and ML [not-audio_url] [/not-audio_url]

Duration: 1:08:16
Josh explains how astronomy and machine learning have informed each other, their current limitations, and where their intersection goes from here.
Xavier Amatriain — Building AI-powered Primary Care [not-audio_url] [/not-audio_url]

Duration: 50:09
Xavier shares his experience deploying healthcare models, augmenting primary care with AI, the challenges of "ground truth" in medicine, and robustness in ML. --- Xavier Amatriain is co-founder and CTO of Curai, an ML-ba…
Spence Green — Enterprise-scale Machine Translation [not-audio_url] [/not-audio_url]

Duration: 43:46
Spence shares his experience creating a product around human-in-the-loop machine translation, and explains how machine translation has evolved over the years. --- Spence Green is co-founder and CEO of Lilt, an AI-powered…
Roger & DJ — The Rise of Big Data and CA's COVID-19 Response [not-audio_url] [/not-audio_url]

Duration: 1:04:53
Roger and DJ share some of the history behind data science as we know it today, and reflect on their experiences working on California's COVID-19 response. --- Roger Magoulas is Senior Director of Data Strategy at Astron…
Amelia & Filip — How Pandora Deploys ML Models into Production [not-audio_url] [/not-audio_url]

Duration: 40:49
Amelia and Filip give insights into the recommender systems powering Pandora, from developing models to balancing effectiveness and efficiency in production. --- Amelia Nybakke is a Software Engineer at Pandora. Her team…