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Machine Learning Technological Stacks


Building full machine learning stacks for both R&D and production can be a complex task, particularly when machine learning code need to interact and to integrate itself in larger legacy systems. 5 mains processes need to be carefully aligned to leverage the full value of AI:
- data integration and data consolidation
- data preprocessing and data enrichment
- models design and training
- models deployment
- models maintenance

The Comfiz DataOps platform is the single source of truth for data engineers and machine learning engineers engage in the deployment and monitoring of models in production.

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API Framework

We fully believe in micro services oriented architectures. Comfiz Restful API framework gives our customers the capacity to build ML-driven services on top of the Comfiz DataOps platform.

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