More organizations are adopting machine learning (ML) and the market has matured enough to be able to offer more options and capabilities.

Enterprise customers are realizing that in order to see a return on their investment in machine learning, these successful ML experiments need a formalized path to deployment and a structured approach to post-deployment maintenance. This is where the methodology, Continuous Operations for Production Machine Learning can help.

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