Global competition and disruption are increasing pressure on chemical companies. Explore how Symphony AzimaAI helps chemical processing facilities avoid failures and unplanned downtime by combining operational data, sensor data, EAM data and process data into artificial intelligence models to provide predictive insights.
Metals and Mining
Extraction, grinding, smelting and refining are all demanding operations. Find out how Symphony AzimaAI helps identify performance deviations, predicts machine faults, and proactively and cost-effectively manages maintenance actions to improve availability, reliability and ensure safer operations for these difficult conditions.
Naval and Marine
Because of the complex nature of naval and marine operations ensuring equipment reliability is crucial. Explore how Symphony AzimaAI uses data from sensors, maintenance history and performance information to predict asset faults and avoid costly downtime.
Oil and Gas
In asset intensive industries like Oil and Gas maximizing reliability, availability and safety are business imperatives. See how Symphony AzimaAI helps oil and gas facilities avoid failures and unplanned downtime by combining operational data, sensor data, EAM data and process data into Artificial Intelligence models to provide predictive insights.
For Manufacturers dealing with global competition and a growing skills gap many are turning to the Internet of Things (IOT) to create competitive advantage. Symphony AzimaAI helps manufacturers integrate operational data, sensor data, EAM data and process data into Artificial Intelligence models to provide predictive insights which help manufacturers control costs and optimize plant resources.
Pharmaceutical and Biotech
Facility managers and asset managers in pharmaceutical manufacturing face complex regulations as well as responsibility for the operation of thousands of assets. Investigate how Symphony Azima AI ensures quality and reliable operations by predicting machine faults and avoiding batch disruptions.
With changing generation sources and fluctuating demand managing generation assets is more complex than ever. Investigate how Symphony Azima AI combines data from sensors, EAM systems, and process data into Artificial Intelligence models to provide predictive insights.
Data centers, commercial buildings and similar facilities handle millions of dollars daily for merchandise purchasing, credit card and banking transactions, stock markets, and information technology. The process equipment behind the scenes, which is similar to other industrial manufacturing facilities, are critical to ensure these operations.