DataRobot Acquires ParallelM To Up The Ante In Machine Learning Operations
DataRobot, a leader in enterprise AI, announced that it has acquired ParallelM, a Santa Clara, CA-based company that pioneered machine learning operations (MLOps) category and helps organisations scale the deployment, management, and governance of machine learning in production using any ML platform on any cloud or on-premise environment. This is the second big announcement by the company in a month after it announced a partnership with Informatica, a cloud data management leader. In fact, the ParallelM acquisition is DataRobot’s fourth acquisition in approximately two years. DataRobot is a big name across the globe as organisations use its services to empower the teams they already have in place to rapidly build and deploy machine learning models and create advanced AI applications. 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. Industry experts believe that 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 acquisition aims to fill these gaps. “We are excited to join forces with DataRobot to help more customers worldwide finally see tangible value and ROI from their AI and machine learning projects and initiatives,” said Sivan Metzger, CEO of ParallelM. ParallelM has been a pioneer in the MLOps space with the launch of MCenter platform in 2017. It helps organisations 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. DataRobots has been making massive investments in model deployment, management and monitoring capabilities. With this acquisition, DataRobots becomes a clear leader in MLOps and governance. As part of the acquisition, DataRobot will expand its platform’s current model monitoring and management capabilities to include an industry-leading MLOps and Governance offering that accelerates the AI lifecycle for all projects regardless of ML platform, programming language, or deployment scenario. “Machine learning operations and governance are a must-have to become an AI-driven enterprise,” said Jeremy Achin, CEO of DataRobot. “We are thrilled to have them on board, including having ParallelM CEO Sivan Metzger join our leadership team and run our MLOps and Governance business.”
DataRobot, a leader in enterprise AI, announced that it has acquired ParallelM, a Santa Clara, CA-based company that pioneered machine learning operations (MLOps) category and helps organisations scale the deployment, management, and governance of machine learning in production using any ML platform on any cloud or on-premise environment. This is the second big announcement by […]
DataRobot, a leader in enterprise AI, announced that it has acquired ParallelM, a Santa Clara, CA-based company that pioneered machine learning operations (MLOps) category.
["big data in auditing", "informatica"]
["data science", "machine learning", "informatica", "AI", "R", "ML", "MLOps", "Aim", "big data in auditing", "model monitoring", "Azure", "kubernetes"]
["AI", "machine learning", "ML", "data science", "MLOps", "Aim", "model monitoring", "Azure", "kubernetes", "R"]
Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.