ML & Advanced Analytics
A machine learning model only creates value when it runs in a real process. We start from the business task and the data, build the model and take it to production with quality monitoring.
What is included
- Task and data assessment: whether ML can solve it and what effect to expect
- Demand, sales and capacity forecasting
- Customer scoring and segmentation, recommendation systems
- Taking models to production
- Model quality monitoring and retraining
What you get
- The model is part of a working process, not just an experiment
- Clear metrics of model quality and impact
- Alerts when model quality drops
Who it is for
Companies that already have accumulated data and a clear task where a forecast or automated decision will save time or money.
Let's discuss your task
Tell us about your situation and we will suggest a format for the first meeting, with no obligation.