Latest Acquisition: DataRobot Ushers into New Enterprise AI Horizon with ParallelM

PrallelM’s acquisition to create an industry leading MLOps and Governance offering for machine learning models from any ML platform on any cloud or on-premise

Enterprise AI market is set for a major uplift following the latest acquisition in the industry. Enterprise AI and automated ML leader, DataRobot, has signed off on a deal to acquire ParallelM. PrallelM has 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.

At the time of this announcement, Jeremy Achin, CEO of DataRobot, said —

“Machine learning operations and governance is a must-have to become an AI-driven enterprise. 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.”

 

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DataRobot Continues to Drive AI Industry with High-Performance Delivery Models

Today, DataRobot supports the advanced capabilities that data scientists require, in a way that makes them easy to use for all. The Company is driving ‘innovation with democratization’ through its Automation ML products and Managed AI Cloud deployment models.

DataRobot supports the advanced capabilities that data scientists require, in a way that makes them easy to use for all.

ParallelM is DataRobot’s fourth acquisition in as many years. After launching the world’s first automated machine learning solution for AIOps teams in 2015, DataRobot has acquired Nutonian (in 2017), Nexosis (in 2018), and Cursor in 2019. In 2017, the Enterprise AI leader raised $67.2 Million in Series C, and another $100 Million in Series D investment in 2018.

With a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform encapsulates every best practice and safeguard to accelerate and scale data science capabilities while maximizing transparency, accuracy, and collaboration.

How DataRobot Turns Every Data Scientist into a Team of its Own

According to a recent report, DataRobot was recognized for its robust capabilities in AI and Machine Learning. It said, “The company leverages its experience in the market to quickly evolve the product to set the standard of what it means to be an enterprise AutoML solution…”

In an official announcement, DataRobot said, “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.

“We’ve seen the value that is unleashed when companies overcome the barrier between data science and IT operations, which is required to put machine learning to work,” said Sivan Metzger, CEO of ParallelM.

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.”

Sivan added, “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.”

What is ParallelM?

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 machine learning 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.

The acquisition and integration of ParallelM makes DataRobot the clear industry 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: DataRobot’s fully managed AI Cloud, private cloud, multi-cloud, on-prem, or hybrid.

The ParallelM acquisition is DataRobot’s fourth acquisition in approximately two years.

By making data scientists more productive and enabling the democratization of data science, DataRobot helps organizations transform into AI-driven enterprises. With offices around the globe, DataRobot is backed by $225 million in funding from top-tier firms, including New Enterprise Associates, Sapphire Ventures, Meritech, and DFJ.

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