Artificial Intelligence

We use image recognition algorithms to detect assets in photo and/or video images. The algorithm is trained with massive datasets to recognize the underground, asset, and surroundings. We regularly fine-tune the algorithms to improve the prediction output. 

With our own data platform, we can make very precise predictions. Data is continuously refreshed. Any deviations from predicted data indicate unusual behavior, which needs to be detected! With AI, gain insight into the overall health of your assets. The failure mechanism is captured, and unusual patterns are detected (anomaly detection). This way, you know exactly where and when action is required. 

The powerful platform is based on the Delta Lake architecture. Sensor and ticket data, among others, are received via various data pipelines. Machine learning models operate on this data, making very useful predictions such as: when is it time for maintenance? And: what is the energy consumption?