In this episode of the Smart Metals Podcast Denis and I, dive into the topic of transferring shop floor data to the cloud and leveraging AI for predictive maintenance and other use-cases in the metals industry.
We discuss essential components like the Unified Namespace (UNS) and Data-Centric AI, highlighting why smaller manufacturers shouldn’t shy away from cloud technology.
We also break down common misconceptions about AI, particularly for SMBs, and explore the benefits of cloud services.
You’ll hear a step-by-step approach to implementing predictive maintenance and get practical advice on how to start using AI-driven insights—without excessive costs or complexity.
If you're a manufacturer looking to make data-driven decisions, optimize maintenance strategies, and leverage AI in a practical, actionable way, this episode is a must-listen.
Topics
00:00 – 🎙️ Welcome to the Smart Metals Podcast
00:23 – 🔍 Understanding Shop Floor Data and AI
02:29 – ⚙️ Preventive vs Predictive Maintenance
04:57 – 🔄 Steps to Implement Predictive Maintenance
08:10 – ☁️ Benefits of Cloud Solutions
09:46 – 📊 Data Management and Unified Namespace
28:57 – 🏭 Practical Advice for Manufacturers
Notable Quotes:
Relevant Links:
🔗 Follow the show: https://smartmetals.transistor.fm/
🔗 About Denis Gontcharov: https://gontcharov.eu/
🔗 About Luke van Enkhuizen: https://vanenkhuizen.com/
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