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