ParallelM recently announced new additions to MCenter™, its flagship solution. These changes support a wider variety of data science tools and add advanced ML Health functionality. It also better aligns with AI service providers and AI-first companies.

MCenter delivers a novel approach to MLOps (Machine Learning Operationalization), addressing Machine Learning production issues by automating the ML-optimized continuous deployments and integrations. MCenter assures the quality of live Machine Learning applications, while empowering Data Science teams with innovative visualizations for managing ML applications. With MCenter, business teams can navigate risks, ensure compliance, and assess the ROI of AI initiatives. By offering a single, unified solution for the full Machine Learning production lifecycle, MCenter supports the move to the critical phase of developing and scaling ML business values.

Nisha Talagala, the CTO of ParallelM, said “By partnering with our customers and understanding what they need to automate and scale MLOps in production, we have made significant advances in Mcenter. With these new innovations in ML Health and support for AI-first companies, we continue to lead the MLOps revolution with the most robust platform on the market.”

Read more at PR Web.