Enterprise ML initiatives are largely challenged to deliver on the promised business advantages so far. Despite increasing investments, the pace of ML projects actually reaching timely deployment into business applications, let alone scaling them, is simply not where it has been expected to be.
A new approach that combines process and technology – Machine Learning Operationalization [MLOps] – is needed to drive and automate the deployment and management of ML-based services at scale.
ParallelM’s MCenter provides breakthrough software solution, for an enterprise-grade MLOps platform. MCenter helps customers automate, scale, and optimize confident deployment and ongoing management of Production ML, by leveraging ML Application abstraction technology, coupled with all key components of a complete "Production ML lifecycle" solution: