MLOps, or DevOps for those working with machine learning models, has seen a boom of interest in the last year, and that should come as no surprise: organizations want to bring more machine learning to bear in their data science stacks, but that requires building and training models, cleaning up data and making sure they work as they should. Today, a startup called Striveworks building MLOps tools to handle that work is announcing $33 million in funding.
This is the startup’s first-ever outside funding, and the round getting closed now underscores both the surge of interest in the wider a
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