ParallelM Launches First Machine Learning Operationalization Solution - ParallelM MLOps

ParallelM, one of the fastest growing new companies in machine learning management, today announced ParallelM MLOps, the first software solution for operationalizing machine learning (ML) and deep learning across the enterprise. Operationalizing machine learning poses a significant challenge, as current techniques have limited ability to tackle the unique intricacies of ML behavior patterns. Prevailing workarounds tend to be manual and brittle, inhibiting ML service scaling, and delaying the benefits of ML to the business. According to a recent survey of over 3,000 "AI-aware" C-level executives by McKinsey Global Institute, only 20 percent have deployed at least one AI technology and only 10 percent have deployed three or more. Further, out of 160 AI use cases examined, only 12 percent had progressed beyond the experimental stage.