ParallelM Named a 2018 Gartner Cool Vendor in Data Science and Machine Learning Markets Insider

ParallelM, one of the fastest-growing companies in machine learning operationalization (MLOps), today announced that it has been named a "Cool Vendor" based on the September 11, 2018 report titled, "Cool Vendors in Data Science and Machine Learning," by Peter Krensky, Svetlana Sicular, Jim Hare, Erick Brethenoux, and Austin Kronz at Gartner, Inc. Gartner's report notes, "While the democratization of machine learning platforms is proliferating model creation, the need to operationalize models at scale is still a looming challenge. Vendors focusing on this piece of the machine learning life cycle can answer a growing demand in the market." "We believe it is an honor to be named as one of Gartner's'Cool Vendors' this year in the areas of machine learning and data science," said Sivan Metzger, CEO of ParallelM. "As the interest in these areas continues to grow at a rapid pace, technology has brought us to a point where ML models are being created and tested at scale. How can companies actually operationalize these models and derive the value out of ML? With our solution, companies are finally able to automate the deployment and scale of their machine learning applications, finally unlocking their true business value."