Building data science stacks for both R&D and production can be a complex task, particularly when data science models need to be integrated into larger legacy systems. Data science key processes need to be carefully defined and maintained to leverage the full value of data science:
- data integration and data consolidation
- data preprocessing and data enrichment
- models design and training
- models deployment
- models maintenance
The Comfiz platform can be used as the single source of truth for data engineers and machine learning engineers engage in the deployment and monitoring of models in production.