Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers.
In episode 47 of the podcast, the topic is: Industrial Machine Learning. Our guest is Roy Shilkrot, Lead Scientist, Tulip.
In this conversation, we talk about Machine Learning in Manufacturing. Emerging applications using Tulip and beyond, we discuss emerging use cases, the impact of a future with MES ML, that is, machine learning built into the manufacturing execution system.
Augmented is a podcast for industry leaders and operators, hosted by futurist Trond Arne Undheim (@trondau), presented by Tulip.co, the frontline operations platform, and associated with MFG.works, the industrial upskilling community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9 am US Eastern Time every Wednesday. Augmented--the industry 4.0 podcast--industrial conversations that matter.
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Trond's takeaway: Industrial tech is not what it used to be and will never again be a bulky, legacy, inflexible instrument. Rather, we are entering an age with immediate feedback, rapid adjustments and a combination of human and machine monitoring.
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 29, The Automated Microfactory, episode 22, Freedman's Factory: What is nocode?, or episode 19, Machine Learning in Manufacturing.
Augmented--industrial conversations that matter.
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.