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Machine Learning Technological Stacks

AI platforms architecture


We do not believe in a one-size-fit-all approach for AI platforms deployment. Within the same organization the scope of AI use cases to implement is broad and requires different technologies and infrastructures according to the type and volume of data to analyze.

Splitting an AI architecture in different independent sub-systems not only gives the capacity to select the right technology for a given set of use cases but also to gain a lot of flexibility at both development and production levels.

The Comfiz DataOps Platform is technology and cloud agnostic. This means that you can centralize all you ML related business processes in one place while keeping the flexibility required to address IT and legal issues associated to models deployment.