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- From Data to Decisions: AI in the Driver’s Seat of Automotive Transformation
From Data to Decisions: AI in the Driver’s Seat of Automotive Transformation
Plus, SAS and Epic Games bring digital twins to modern factories, Hitachi and Daikin test AI chatbot for diagnosing factory equipment failures, GenAI promises manufacturing boost but firms lack readiness, reimagining manufacturing workforces in the AI era, and more!
In this week’s edition of Artificial Intelligence in Manufacturing, we’re decoding the latest movements at the intersection of data, machines, and smart thinking in industry. AI isn’t just helping manufacturers make decisions faster – it’s also challenging them to rethink who should be making those decisions in the first place…
We kick off with a look at a new alliance designed to sharpen data strategy in the automotive sector. A consulting firm is joining forces with a cloud giant to offer tailored solutions for automakers—think tighter integration, faster decisions, and smarter data flow across the supply chain.
Meanwhile, a high-profile gaming engine and a data analytics heavyweight are pairing up to bring immersive digital twins to life on the factory floor. Could the gamification of industrial simulation be the missing link in boosting adoption?
Elsewhere, a home and security brand is stepping into predictive maintenance through a new partnership focused on trustworthy AI. The goal? Creating intelligent systems that anticipate equipment failure – without triggering false alarms.
In Japan, two manufacturing heavyweights are testing an AI chatbot designed to diagnose equipment failures on the line. It’s a bold move to embed conversational AI directly into operational diagnostics.
But enthusiasm doesn’t always equal execution. New research suggests many firms see generative AI’s potential – but few are actually ready to harness it. So what’s holding them back?
Interestingly, another study points to a surprising barrier: middle managers. While often overlooked in digital strategy, they may be the key – or the bottleneck – to successful AI deployment on the shop floor.
On the funding front, two European AI startups just raised a combined €7 million to push predictive maintenance and 3D printing optimization to the next level. One is focused on reducing downtime in critical equipment, the other on selecting the best parts to print using AI-powered recommendations.
Thanks for reading – and as always, feel free to hit reply and share what you’re seeing on your side of the manufacturing world. To stay ahead of the curve in the world of AI in manufacturing, you can follow us on LinkedIn for daily updates and breaking news. In the meantime, we hope you have another amazing week!
