Industrialisation of DS/ML

Data, and data science in general, is rapidly becoming an important aspect in any organisation. And just like you want a clean, organised kitchen to work in, it is essential to prevent a sprawl of machine learning models, datasets and scripts in your environment.

Download the ML/DS Industrialisation Booklet

Typical pain points

  • Deploying ML-algorithms on a cloud environment
  • The need for a consolidated & performant environment where data and code can live
  • Having to regularly re-train algorithms with unseen data
  • Working with datasets that are too big to handle on your local machine
  • Making real-time predictions, and streaming them to an operational team

With several exciting solutions on the market today, we are happy to discuss what works best for you.

View all solutions Get in contact

Our references

Eager to know more?

Then definitely get in touch with Wouter. He will be happy to schedule a first (virtual) meeting to discuss all your possibilities. Let’s get started!

Wouter Buckinx

Director .Data