Anomaly detection of time series data and intelligent recommendations through machine learning

Important results from the project

Machine learning can be applied to created better anomaly detection av time series data, which has been proven through successful pilot projects as part of the scope of this project.

Expected long term effects

The pilot customers within the project has had great outcomes with identified savings of several hundred thousand dollars from this product.

Approach and implementation

This has been a very exciting project with several engaged stakeholders. The topic turned out to be even more ambitious than originally anticipated, therefore some re-prioritization of work packages was done during the project.