AI Analytics
Proactive Management with Predictive Maintenance, Forecasting, and Anomaly Detection
AI Analytics analyzes industrial data using artificial intelligence to enable predictive maintenance and advanced forecasting. By continuously monitoring system behavior, it detects anomalies at an early stage and allows action to be taken before failures occur.
With real-time analytics and predictive capabilities, maintenance processes are optimized, unplanned downtime is reduced, and operational efficiency is improved.
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The problem
Failures detected only after they occur
Production and cost losses due to unplanned downtime
Late identification of anomalies and operational risks
Solution
AI-powered predictive maintenance and forecasting
Early warning and proactive intervention through anomaly detection
Continuous monitoring for safer and more efficient operations
Highlights
Technical Architecture
Prior Intervention
It ensures that action is taken before problems occur.
Smart Monitoring
Keeps system behaviour under constant analysis.
Seamless Processes
Helps to prevent unexpected stops.
Security & Management
Frequently Asked Questions
What does the AI Analytics module do?
It provides predictive maintenance, forecasting and anomaly detection by analysing data with artificial intelligence.
Which data are analysed?
Time series data, sensor measurements and operational performance data can be analysed.
How does anomaly detection work?
The system learns the normal operating behaviour and automatically detects deviations from this behaviour.
Which advantages does predictive maintenance offer?
Reduces unplanned downtime and maintenance costs by enabling intervention before failures occur.
How reliable is forecasting?
AI models are continuously updated with historical and current data, ensuring high accuracy.
Which teams are suitable for?
Ideal for maintenance, operations, technical teams and managers.
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