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Machine Learning for Anomaly Detection eliminates downtime
Machine Learning for Anomaly Detection eliminates downtime

According to a recent study, unplanned downtime costs the industry an estimated US$50 billion annually. Kaspersky Machine Learning for Anomaly Detection helps to identify deviations in production processes at an early stage and thus reduce downtimes. Kaspersky MLAD is one of the TOP products of 2022 for security. Kaspersky MLAD took 3rd place in the "Safety and Security" category in the Computer & Automation Magazine readers' poll. The solution is equipped with machine learning algorithms that analyze telemetry from machine sensors in real time. As soon as the parameters of the manufacturing process (tags) behave unexpectedly, warnings are triggered. The innovative…

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