DataRobot Acquires MLOps Pioneer and Category Leader, ParallelM

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According to a recent press release, “DataRobot, the leader in enterprise AI, today announced that it has acquired ParallelM, a Santa Clara, CA-based company that created the machine learning operations (MLOps) category, which helps organizations scale the deployment, management, and governance of machine learning in production using any ML platform on any cloud or on-premise environment. Despite the massive investments in data science teams, platforms, and infrastructure, as well as a dramatic increase in the number of active AI projects, the value derived from these investments is grossly lacking due to the inability to deploy AI models into production. According to industry analysts, only a small percentage of AI models make it into production, and the few AI models that do severely lack the necessary governance and monitoring required to ensure the AI can be trusted. Effective and responsible use of AI requires a modern system to deploy, monitor, manage, and govern both models and projects through every step of the AI lifecycle.”

The release goes on, “ParallelM pioneered the MLOps space with the launch of the MCenter platform in 2017. The MCenter platform helps organizations quickly deploy machine learning models on modern production infrastructures such as Kubernetes and Spark, either on-premise or on a cloud provider of their choice (including Amazon Web Services, Google Cloud Platform, and Azure). ParallelM also pioneered techniques for real-time monitoring and alerts tailored for the unique intricacies of models and the auditing of actions for models required in regulated industries. Over the last 18 months, DataRobot has made a massive investment in model deployment, management, and monitoring capabilities. The company has built a large team dedicated to this and received a multitude of industry awards and recognition from leading analyst firms.”

Read more at Business Wire.

Image used under license from Shutterstock.com

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