Summary
Model operations (ModelOps) is a must-have capability to operationalize AI at scale. Often referred to as machine learning operations (MLOps), ModelOps comprises tools, technologies, and practices to enable organizations to deploy, monitor, and govern machine learning models and other analytical models in production applications. Technology and data science pros should read this report to understand why ModelOps is important, the capabilities they need, and how to develop or acquire them.
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