Solve problems before they become problems
Upgrade your systems with predictive maintenance and resolve issues before they have the chance to interrupt service or availability. Predictive maintenance will improve the reliability of your program while reducing maintenance costs by up to 35%.
Significant operational cost reduction
Predictive maintenance promises cost savings over preventative maintenance because tasks are performed only when warranted. While preventative maintenance relies on statistics to predict when maintenance will be required, predictive maintenance relies on the actual condition of the equipment.
Predictive maintenance allows convenient scheduling of corrective maintenance and prevents unexpected system failures, thus reducing the overall number and severity of alarms and incidents all while increasing your operational efficiency. This solution allows for the preservation of knowledge in the event of staff changes, which means lower entry costs for new employees and an overall higher quality of service.
Improved customer experience
Create the best possible experience for your customers by improving network and service quality, reducing service restoration time, increasing service availability, and reducing churn rate.
Predictive maintenance is a sophisticated approach to autonomous service delivery and assurance. Predictive models based on deep learning technology prove effective as they can follow complex, non-linear relations within the data, as well as discover new schemes. Nevertheless, no single model or combination of similar models can detect anomalies effectively. Different kinds of models are often used together to obtain a higher level of predictive maintenance. Given the widespread use of AI across various applications and its black box nature, explainability in artiﬁcial intelligence (XAI) is one of the problems at the forefront of AI research. Predictive maintenance allows the generation of explanations for decisions made by the software.
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