Anomaly detection of time series data and intelligent recommendations through machine learning
Purpose and goal
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 results and effects
The pilot customers within the project has had great outcomes with identified savings of several hundred thousand dollars from this product.
Planned 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.