TWIML Presents: Industrial AI

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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I’ve mentioned my interest in industrial applications of machine learning & AI a few times on the podcast. I’ve been doing some research in the area, I’ve published a special report on the topic.

Published in conjunction with the report, this industrial AI podcast series explores application areas like manufacturing, warehouse automation, and smart buildings; and practice areas like robotics, reinforcement learning, and simulation. Of course, as always, we love your comments, feedback, and suggestions, which you can leave below.

Thanks to Our Sponsors

A big thank you to the sponsors of my Industrial AI research and podcast series:

  • Bonsai, a startup whose work I’ve been following them since their launch just over a year ago. I’ve been impressed with their team and technology, and grateful for their support. If you’re building AI-powered applications to optimize and control enterprise systems, check them out at Please let them know you appreciate their support of the podcast.
  •, now part of GE Digital, was among the first companies I began following in what I called the Machine Learning platforms space, back in 2012/2013. At GE Digital, the team is focused on creating technology and solutions to enable advanced capabilities for the Industrial Internet of things, making infrastructure more intelligent and advancing the industries critical to the world we live in. Please check them out at


Industrial AI Podcast Series

TWIML Talk #27Intelligent Autonomous RobotsIlia Baranov, Clearpath Robotics

TWIML Talk #28Deep Reinforcement Learning Deep DivePieter Abbeel, UC Berkeley & OpenAI

TWIML Talk #29Robotic Perception & ControlChelsea Finn, UC Berkeley

TWIML Talk #36Smart Buildings & IoTYodit Stanton,

TWIML Talk #37Deep Robotic LearningSergey Levine, UC Berkeley

TWIML Talk #38Deep Learning for Warehouse OperationsCalvin Seward, Zalando

TWIML Talk #42Marrying Physics-Based and Data-Driven ML ModelsJosh Bloom, at GE Digital

TWIML Talk #43Machine Teaching for Better Machine LearningMark Hammond, Bonsai

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