March 05, 2018
ParallelM to Showcase MLOps™ Machine Learning Operationalization Solution at Strata Data Conference

SUNNYVALE, Calif., March 5, 2018 – ParallelM, one of the fastest growing new companies in machine learning management, today announced that it will showcase its MLOps™ machine learning (ML) operationalization solution in Booth 1426 at the Strata Data Conference, March 6-8, in San Jose, CA.

The Strata Data Conference is the largest data conference series in the world, offering a deep dive into emerging techniques and technologies in the data field, including AI and machine learning.

MLOps is the first software solution to help companies deploy, manage and scale machine learning in production. MLOps manages the full Production-ML lifecycle through a single, unified software solution that automates and optimizes the continuous deployment and integration of ML, ensures live ML model management, outcome quality and governance, while empowering data science and operations teams with innovative visualization and collaboration capabilities.

ParallelM launched MLOps earlier this year and is currently working with multiple companies in the financial services, healthcare and technology industries to help them maximize the business value of their machine learning and AI investments.

“While investments in AI have been increasing rapidly, enterprise AI initiatives have largely failed to deliver the promised business advantages so far, because only a sliver of projects actually reach deployment into business applications,” said Sivan Metzger, CEO of ParallelM. “ParallelM has created a new solution, and a new category – Machine Learning Operationalization – to address this market need. Our approach combines technology and process to deliver a blueprint for enterprises to deploy, manage and scale their machine learning services in production.”

MLOps can be deployed on cloud, on premise, or in hybrid scenarios and works across distributed computing platforms such as Apache Spark™, TensorFlow™, Apache Flink®, and PyTorch. MLOps also integrates with leading data science and AI developer platforms such as H20, DataRobot, Dataiku and Jupyter.

To make an appointment to meet with ParallelM at the Strata Data Conference, contact jmoritz@0to5.com.

About ParallelM
ParallelM is the first and only company completely focused on delivering and scaling production-ML. ParallelM’s breakthrough MLOps™ solution is built specifically to power the deployment and management of machine learning pipelines in production, so that companies can scale machine learning delivery across their business applications. ParallelM’s approach is that of a single, unified solution that embeds best practice processes in technology, enabling collaboration across all ML stakeholders to unlock the business value of AI. Please visit www.parallelm.com or email us at info@parallelm.com.

ParallelM and MLOps are trademarks of Parallel Machines, Inc. All other trademarks are the property of their respective registered owners. Trademark use is for identification only and does not imply sponsorship, affiliation, or endorsement.

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