DATA MINING AND MACHINE LEARNING BASED SOLUTION
FOR ADVANCED ANALYTICS ON MACHINE DATA & LOG FILES
Machines, devices and industrial equipment generate more and more data that is easier to collect using the IoT. This data is full of hard to extract valuable information.
Yazzoom’s machine data analytics and anomaly detection solution uses artificial intelligence to automatically learn normal machine operations and detect anomalies in sensor data and log files
It is used to (remotely) monitor machines and have an early detection of technical issues, to speed up diagnostics of the root cause of machine failure and reduce the mean time to repair, to create and maintain predictive models, and to give advice to operators.
Thanks to its flexible architecture and data agnostic machine learning algorithms, it has a proven track record on a variety of machine and data types: industrial production lines (continuous and batch processes, robot-powered discrete manufacturing), medical imaging equipment, IoT-enabled utilities networks, power plant systems, consumer connected devices…
Yazzoom’s machine data analytics and anomaly detection solution uses artificial intelligence to automatically learn normal machine operations and detect anomalies in sensor data and log files
It is used to (remotely) monitor machines and have an early detection of technical issues, to speed up diagnostics of the root cause of machine failure and reduce the mean time to repair, to create and maintain predictive models, and to give advice to operators.
Thanks to its flexible architecture and data agnostic machine learning algorithms, it has a proven track record on a variety of machine and data types: industrial production lines (continuous and batch processes, robot-powered discrete manufacturing), medical imaging equipment, IoT-enabled utilities networks, power plant systems, consumer connected devices…