Active learning cockpit for managers with (unsupervised) anomaly detection

Here you find the details for the internship named "Active learning cockpit for managers with (unsupervised) anomaly detection" in the company ML6.

Name: Active learning cockpit for managers with (unsupervised) anomaly detection
Company: ML6

The dream for every (process) manager is to have a cockpit that monitors the processes in her supervision and that notifies when an incident happens. Just like when an airplane pilot gets notified when the plane is approaching the ground at high speeds for example.

Lots of big companies with big processes use software to register all the steps that happen in a process. They often use SAP for that.

You will:
- start with talking to a process manager at a client of ours and discover which processes they run and what they would like to see in their cockpit.
- Then you will dive into their enterprise software (SAP) to extract the relevant data and events.
- Using that data, you will explore machine learning algorithms (unsupervised or supervised) and process mining techniques that are able to detect the relevant metrics and events that will end up in the cockpit dashboard.
- If time (and interest) allows, you will then work on the frontend of the dashboard itself to shape the manager’s experience. The cherry on the cake is that the dashboard allows input from the end user s.t. it functions as a labeling tool s.t. the entire setup can become an active learning system.

Target profiles:
    In industries:
      Required special knowledge:

      Duration: min 6 weeks
      Paid: Nee
      Net wage: -
      Foreign: Nee
      Contact: Julie Plusquin (Talent Partner)