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

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.”

Through its unified software solution, MCenter, ParallelM delivers a unique approach to addressing the challenges enterprises face while implementing ML and data science across the enterprise: machine learning operationalization (MLOps).

To read the full report, please complete the form.


Gartner, Cool Vendors in Data Science and Machine Learning, Peter Krensky, Svetlana Sicular, Jim Hare, Erick Brethenoux, Austin Kronz, 11 September 2018

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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