MLOps, or DevOps for machine learning, enables Data Science and IT teams to collaborate and increase the pace of model development and deployment via monitoring, validation, and governance of machine. With Azure ML and Azure DevOps, you can effectively and cohesively manage your datasets, experiments, models, and ML-infused applications.
We follow Agile Sprint Methodology to implement MLOps in 4 sprints which includes Testing, QA, and Productization of MLOps framework. Implementation of the entire framework takes approximately 8 weeks including the technical documentation and training.
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Bizmetric and its team successfully implemented the BI Solution at Newpark. Their work met the business as well as the quality expectations.
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