Many industrial AI initiatives fail because the underlying asset and operational data lacks the context required to generate reliable recommendations. OpreX Intelligent Manufacturing Hub serves as an industrial intelligence fabric that connects existing systems, contextualises asset information, and creates an AI-ready foundation for asset performance management.
Read moreOptimizing Energy Efficiency for Industrial Enterprise Buildings & Offices
Explore Yokogawa's EEMS revolutionizing energy efficiency in industrial buildings, recognizing their substantial impact on global energy consumption and CO2 emissions. This blog delves into EEMS's digital prowess for optimizing energy dynamics through real-time monitoring and a centralized platform. Uncover insights into smart meters, sensors, and communication protocol challenges and solutions.
Read moreHow Data Insights Fuel Improved Asset Performance
The foundation of every strong Asset Performance Management (APM) strategy depends on one thing—Data. Read a blog that explains why data is the key to better business outcomes, Industry 4.0, and advanced APM.
Read moreDigital Asset Management
Perhaps the most common application of machine learning in the process industries is to support predictive maintenance. Anomaly detection is widely used to identify equipment performance degradation much earlier than using traditional condition monitoring systems and data analytics. However, the use of artificial intelligence to improve reliability and reduce maintenance costs is still in its infancy.
Read moreAsset Performance Management
Yokogawa released an asset performance management (APM) solution, which includes wireless sensors, cloud environment and applications. Please read more in the Yokogawa portal site to see how it can contribute to customers’ business.
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