AI in Manufacturing: The Promise is Real if Adoption is Done Right

Key Summary

• AI in manufacturing use cases: Examples across consumer, pharma, and automotive.
• Adoption barriers + best practices: What helps AI succeed on the shop floor.
• Outcomes: Stronger compliance, lower costs, improved worker safety/communication.

By Sanjay Huprikar, chief global officer, Global Electronics Association 

AI is being leveraged in manufacturing environments globally in many unique ways to address important concerns and challenges facing all enterprises. This week I had the pleasure of reading three articles on this exciting topic depicting use cases in diverse verticals ranging from consumer to pharmaceuticals to automotive:   

• Overcoming AI Adoption Barriers in UK Manufacturing – Areti Iles
• #6 most read from article: Generative AI for Manufacturing 4.0 - Today's Medical Developments
• Manufacturers test AI-translation tech to improve worker communications | Manufacturing Dive

My quick takeaway is that if the tools and best practices are properly harnessed and resourced, it can lead to improvements on several fronts including regulatory concerns, cost engineering, and employee safety.   

Please feel free to drop me a line at SanjayHuprikar@electronics.org if you saw value in reading these items or if you disagreed with the stances taken by these authors; and feel free to highlight some additional articles on this subject that you have read and think I should be looking at them too!