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Michael Dziedzic on Unsplash I am often asked by prospective clients to explain the artificial intelligence (AI) software process, and I have recently been asked by managers with extensive softwaredevelopment and data science experience who wanted to implement MLOps.
Discuss with stakeholders how accuracy and datadrift will be monitored. Data aggregation such as from hourly to daily or from daily to weekly time steps may also be required. Perform dataquality checks and develop procedures for handling issues. Predictions can be made in batches or in real time.
For small-scale/low-value deployments, there might not be many items to focus on, but as the scale and reach of deployment go up, data governance becomes crucial. This includes dataquality, privacy, and compliance. Git is a distributed version control system for softwaredevelopment.
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