April 27, 2022

From Predictive to Diagnostic Manufacturing Augmentation

From Predictive to Diagnostic Manufacturing Augmentation

This week on the podcast, Trond is in conversation with returning guest and colleague, Roy Shilkrot, the Lead Scientist at Tulip (Tulip.co). In episode 81 of Season 2 of the Augmented podcast, the topic is "From Predictive to Diagnostic Manufacturing Augmentation." In this conversation, we're diving further into machine learning in manufacturing and emerging applications.

Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. Technology is changing rapidly. What’s next in the digital factory? Who is leading the change? What are the key skills to learn and how to stay up to date on manufacturing and industry 4.0? Augmented is a podcast for industrial leaders, process engineers, and shop floor operators, hosted by futurist Trond Arne Undheim (@trondau), and presented by Tulip, the frontline operations platform.

My takeaway: Industrial tech is not what it used to be and will never again be a bulky inflexible instrument because we are entering an age with immediate feedback and rapid adjustments and a combination of human and machine. Diagnostic manufacturing is, in fact, quite different from a time when we had to wait until the product was onerous to see what could be wrong with it. 

Thanks for listening. If you liked the show, subscribe at Augmented podcast.co or in your preferred podcast player and rate us with five stars. If you liked this episode, you might also like episode 29, "The Automated Micro-Factory," episode 22 "Friedman's Factory: What is No-Code," or episode 19 "Machine Learning in Manufacturing." You can listen to all of these episodes simply by pasting in the episode number after the URL.

The Augmented podcast is created in association with Tulip, the frontline operations platform that connects the people, machines, devices, and systems used in a production or logistics process in a physical location. Tulip is democratizing technology and empowering those closest to operations to solve problems. Tulip is also hiring. You can find Tulip at Tulip.co

Please share this show with colleagues who care about where industrial tech is heading.

To find us on social media is easy, we are Augmented Pod on LinkedIn and Twitter, and Augmented Podcast on Facebook and YouTube:

LinkedIn: https://www.linkedin.com/company/augmentedpod
Facebook: https://www.facebook.com/AugmentedPodcast/
Twitter: https://twitter.com/AugmentedPod
YouTube: https://www.youtube.com/channel/UC5Y1gz66LxYvjJAMnN_f6PQ

See you next time. Augmented--industrial conversations that matter.

Roy Shilkrot Profile Photo

Roy Shilkrot

Lead Scientist, Tulip.

Researcher, computer scientist specializing in human-computer interaction and computer vision. End-to-end SW development, system architecture, deployment and maintenance. Managed software and machine learning engineering teams in industry, start-up and academic settings. Published peer-reviewed academic journal and conference articles, patents, and 4 co-authored books.