Machine Learning in Manufacturing

In episode 19 of the podcast (@AugmentedPod), the topic is: Machine Learning in Manufacturing. Our guest is Michael Zolotov, CTO & co-founder at Razor Labs. 

In this conversation, we talk about where we are with machine learning and AI for manufacturing. What are the main techniques? What is possible now? What will be possible soon?

After listening to this episode, check out Razor Labs: http://www.razor-labs.com/ as well as Michael Zolotov's profile on social media: https://www.linkedin.com/in/michael-zolotov-33a2b26b/

You may want to also be aware of the 'Israel meets New England' smart manufacturing event on June 9 and its organizers, the Israeli Trade Mission and Amhub New England:

• The New England Advanced Manufacturing Hub (AMHUB NE): https://mfg.works/amhub/amhub-new-england/
• The Government of Israel’s Economic Mission to North America: https://embassies.gov.il/washington/AboutTheEmbassy/Pages/Economic-Mission.aspx#:
• ISRAEL meets NEW ENGLAND: Advanced Manufacturing in Factories and Workplace: https://mfg.works/israel-meets-new-england/

Trond's takeaway: Machine learning is definitely entering manufacturing over the next few years. Already, interesting experiments are underway to do simpler things such as prevent future downtime using sensor data already being captured by advanced machinery. Pure machine optimization can only get us so far, though. The real potential lies in complex business process optimization and simplification with augmented frontline operations. Technology plays a part, but clever workers, operators, and engineers will have to make intelligent use of the technologies available, they cannot just blindly implement. For that, we need reskilling--always learn.

Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like episode 27, Industry 4.0 Tools, episode 13, Get Manufacturing Superpowers, and episode 14, Bottom up and Deep Digitization of Operations. 

Augmented--upskilling the workforce for industry 4.0 frontline operations.