{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Smart Metals Podcast","title":"From the Shop Floor to the Cloud: AI in Metal Manufacturing","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/7b7832de\"></iframe>","width":"100%","height":180,"duration":2245,"description":" 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.Topics00:00 – 🎙️ Welcome to the Smart Metals Podcast00:23 – 🔍 Understanding Shop Floor Data and AI02:29 – ⚙️ Preventive vs Predictive Maintenance04:57 – 🔄 Steps to Implement Predictive Maintenance08:10 – ☁️ Benefits of Cloud Solutions09:46 – 📊 Data Management and Unified Namespace28:57 – 🏭 Practical Advice for ManufacturersNotable Quotes:\"We always break it down into having a solid data infrastructure and having a solid data strategy. And both of these concepts can be summarized with two words respectively: the Unified Namespace and Data-Centric AI.\" – Denis Gontcharov\"Very often, we talk about AI and especially cloud, and smaller manufacturers think, ‘Oh, that’s something for enterprises.’ The goal today is to dispel this myth and tell you that the cloud is far more accessible than you may imagine.\" – Denis Gontcharov\"Preventive maintenance is like going to the gym and eating healthy to avoid getting sick, while predictive maintenance is like wearing a smartwatch that warns you when you’re about to have a health issue.\" – Luke van Enkhuizen\"If we’re just copying our existing systems to the cloud, why would anyone use them there...","thumbnail_url":"https://img.transistorcdn.com/Hv9X5-K-Xg_jobixWbYrDC7-MP2M1esqIHHaXkW-xJ8/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZTJm/YjY3NjUzZTUyYjBm/YzA3MGI5MDg5NWIw/N2I0ZS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}