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Discover how to transform raw data from your process historian into actionable insights in this engaging webinar. Learn proven strategies for enhancing asset performance, reducing maintenance costs, and preventing unplanned downtime. What You’ll Learn: The step-by-step flow of Asset Performance Management (APM) projects How to identify critical assets and collect meaningful data Best practices for integrating process historians like OSISoft PI, Aspentech IP21, Yokogawa Exaquantum, and Wonderware Historian Selecting the right asset failure models for your needs Deploying Predictive Maintenance solutions that deliver measurable results Chapters: 00:00 - 04:25 Waiting Room 04:25 - 07:18 Introduction 07:18 - 12:50 About UReason 12:50 - 13:30 Agenda of the Webinar 13:30 - 15:17 Your Data Historian 15:17 - 18:05 Why Do We Want to Use Data!? 18:05 - 21:44 Use Data for Early Detection 21:44 - 23:15 Data Ingredients Needed for CbM/PdM 23:15 - 27:34 Process Data 27:34 - 31:57 From Data to Value 31:57 - 34:40 An Example 34:40 - 38:45 Machine Learning? 38:45 - 39:47 Supervised vs Unsupervised 39:47 - 55:53 Demo of APM Studio 55:53 - 58:06 Cooler Condition/Degradation can be Predicted 58:06 - 1:01:24 Demo Summary 1:01:24 - 1:12:12 Q&A About the Speaker: Jules Oudmans, Director of Consultancy at UReason, is an expert in operational intelligence and real-time analytics. With a wealth of experience helping global industry leaders across Oil & Gas, Petrochemical, and Utilities, Jules shares practical tips to enhance your asset management strategies. Visit ureason.com to explore how you can harness data-driven solutions for operational excellence. 🔔 Subscribe to Our Channel: Stay updated with the latest insights, tips, and webinars on predictive maintenance and operational intelligence. #ProcessHistorian #PredictiveMaintenance #APM #UReason