To realize lasting ML we work with a fixed approach. This approach consists of:
We always start with the ML audit; a 5-day on site review to assess the quality and potential of ML with a ML roadmap as key deliverable. We design the blueprint and create the business case before we start building your ML engine.
We develop machine learning infrastructures and ML use cases. During development, testing and usage our Machine Learning Engineers make sure to involve the business experts.
A model is not finished once live, it only starts when going to production. Enjins offers subscription based service for monitoring and logging of your ML infrastructure, making sure that failures are fixed when needed and model performance remains solid.