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However, putting an ML model into production at scale is challenging and requires a set of bestpractices. Data and model management provide a central capability that governs ML artifacts throughout their lifecycle. About the Authors Kiran Kumar Ballari is a Principal Solutions Architect at Amazon Web Services (AWS).
The following diagram illustrates the solution architecture. With the help of the AWS CDK, we can version control our provisioned resources and have a highly transportable environment that complies with enterprise-level bestpractices.
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