Using Streaming Data from your Assets to Prevent Outages | UReason Webinar скачать в хорошем качестве

Using Streaming Data from your Assets to Prevent Outages | UReason Webinar

Streaming data holds immense potential for optimizing process availability, detecting issues early, and improving asset integrity. But where should you start? Do you need real-time access at lower automation levels, or can you leverage data stored in process historians? In this webinar, we break down practical strategies to make the most of streaming data and prevent unplanned downtime. What You’ll Learn: The variety of data sources available in industrial environments How to extract and utilize streaming data effectively The process of turning raw data into actionable insights Real-world examples of data-driven maintenance strategies This session explores how companies use real-time data streams and predictive maintenance to prevent failures, optimize operations, and reduce costs. Chapters: 00:00 - 01:14 Waiting Room 01:14 - 01:46 Introduction to the Webinar 01:46 - 03:39 About UReason 03:39 - 04:18 Agenda of the Webinar 04:18 - 06:34 Why Use Data? 06:34 - 08:55 What Data? 08:55 - 11:19 Access to the Data? 11:19 - 11:50 Turning Data into Value 11:50 - 13:06 The World of Data Scientists 13:06 - 16:45 From Data to Value 16:45 - 18:56 An Example 18:56 - 20:22 Use Data for Early Detection 20:22 - 25:25 APM Studio Demo 25:25 - 25:52 Cooler Condition/Degradation can be Predicted 25:52 - 35:05 APM Studio Demo 2 35:05 - 43:52 Q&A About the Speaker: Jules Oudmans specializes in operational intelligence and real-time analytics. With extensive experience in predictive maintenance and data-driven asset management, Jules shares practical insights to help you implement effective maintenance strategies. Learn more at ureason.com and explore how UReason can help you make maintenance more predictable. 🔔 Subscribe to our channel for more webinars and insights on predictive maintenance and operational intelligence. #StreamingData #PredictiveMaintenance #ProcessOptimization #AssetManagement #IndustrialIoT #DataDrivenMaintenance