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Discover how Edge Computing can transform the way you analyze and utilize asset data in real-time. This webinar explores how AI, Cloud, and Edge Technologies enable data-driven maintenance, helping you enhance asset performance and reduce downtime. What You’ll Learn: What Edge Computing is and how it differs from traditional on-premise and cloud computing How real-time asset data analysis can improve decision-making and maintenance strategies The relationship between Edge Computing, the RAMI Model, and the Open Industry 4.0 Alliance How Asset Owners and Equipment Manufacturers can leverage Edge to implement APM solutions Chapters: 00:00 - 04:50 Waiting Room 04:50 - 06:19 Introduction to the Webinar 06:19 - 06:45 About the Speaker 06:45 - 09:37 About UReason 09:37 - 12:23 Edge Computing History 12:23 - 15:26 The Edge Compute Landscape 15:26 - 17:04 What They Look Like 17:04 - 21:21 Namur Open Architecture 21:21 - 23:19 RAMI Model 23:19 - 24:42 Help in the Integration Nightmare 24:42 - 27:01 An Example of OI4 OEC 27:01 - 29:21 Demonstration 29:21 - 39:04 APM Studio Demo 39:04 - 42:39 Summary of APM Studio 42:39 - 54:53 Q&A About the Speaker: Jules Oudmans, Director of Consultancy at UReason, is a leading expert in operational intelligence and real-time analytics. With years of experience in AI-driven asset management, Jules shares actionable insights to help industrial leaders optimize their predictive maintenance strategies. Visit ureason.com to explore how Edge Computing can revolutionize your Asset Performance Management. 🔔 Subscribe to Our Channel: Stay updated with the latest insights, expert tips, and webinars on predictive maintenance, AI, and industrial analytics. #EdgeComputing #AssetManagement #Industry40 #PredictiveMaintenance #UReason