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AI Strategic DataOps Architecture planning

Create an operations process that treats your AI data as source code.This will allow you to reproduce algorithm results based on point in time data snapshots.Determine data states and aggregation shapes that feed your AI processes and ensure the validity of the data sets as well as the archiving of them in the same manner that you version and archive your source code. Make use of integrating data stores into Docker and Kuernetes to optimize data inflows into your AI and Machine Learning processes and increase the productivity of your data scientists!

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