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.
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.