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Using Data to Make Maintenance More Predictable | UReason Webinar

Discover how to turn asset data into actionable insights in this informative webinar, hosted by Jules Oudmans, co-founder of UReason and an expert in operational intelligence and real-time analytics. What You’ll Learn: A step-by-step project flow for Asset Performance Management (APM) projects How to identify critical assets and non-conformities The best practices for collecting data from various systems Choosing the right failure models for your assets Deploying data-driven maintenance solutions to create immediate value This session explores how leading companies use real-time condition-based and predictive maintenance solutions to prevent equipment failures, optimize processes, and reduce costs. Chapters 00:00 - 03:23 Waiting Room 03:23 - 04:32 Introduction to the Webinar 04:32 - 05:39 About the Speaker and UReason 05:39 - 07:40 Our Field of Operation 07:40 - 08:37 Same Capability At Different Levels 08:37 - 09:08 Our Value 09:08 - 11:17 Our Characteristics 11:17 - 12:37 APM Project Flow 12:37 - 16:56 Asset Selection 16:56 - 21:01 Data Collection 21:01 - 22:24 Sufficient Degradation/Failure Data? 22:24 - 24:10 Modelling: Choosing the Most Fitting Solution 24:10 - 27:42 Modelling: Towards Deployment 27:42 - 28:46 Deploy: Possible to Interact with Field Personnel 28:46 - 29:01 Create Dashboards to Inform Users 29:01 - 39:11 Demo of APM Studio 39:11 - 39:38 Summary 39:38 - 55:56 Q&A About the Speaker: Jules Oudmans, co-founder of UReason, has guided industry leaders like Shell, Siemens, and Halliburton in leveraging predictive analytics and real-time data solutions. With years of experience across Oil & Gas, Petrochemical, Utilities, and more, Jules shares practical insights to help you succeed in your maintenance strategies. Visit ureason.com to explore how UReason can help your organization make maintenance more predictable. 🔔 Subscribe to Our Channel: Stay updated on the latest webinars, tips, and insights in predictive maintenance and operational intelligence. #PredictiveMaintenance #AssetManagement #Industry40 #UReason

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