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Organizations with aging equipment face reliability concerns and costly disruptions due to unplanned downtime. Equipment Analytics solutions on AWS provide continuous visibility into equipment's health and performance, helping AWS customers establish or improve a proactive maintenance strategy. These solutions facilitate cloud-connectivity for existing equipment through retrofit kits and protocol conversions, along with edge computing capabilities to allow the equipment to process data and perform analytics locally. These solutions also support customizable dashboards and reports related to asset performance, delivering meaningful operational and business insights that customers can use to take targeted actions.
Advanced time-series data analytics for operational experts in the process manufacturing industries to analyze, monitor and predict process and asset performance to improve operational excellence.
Twin Sight – intuitive, simple visualization tool and dashboard builder that provides fast, easy, and secure access to operational, engineering, transactional real-time data and semantic data.
An intuitive, modern approach to visualizing operational data and semantic metadata in conjunction with analytics, ML insights for anomaly detection, production optimization, and operation monitoring and optimization across all production sites.
TwinTalk, an event-driven, real-time data sharing platform, enables you to read, write, monitor and stream large amount of operational sensor data bi-directionally between operational system (such as OSIsoft PI) and public/private clouds, data lakes, platforms, and AI, ML or analytics applications.
This Guidance illustrates a comprehensive, three-modular approach to connecting and analyzing your industrial equipment, addressing the key stages of equipment connectivity, analytics, and data visualization.
This Guidance helps you generate actionable insights for predictive maintenance management in industrial environments using Amazon Monitron and other AWS services.