Verta, a leading provider of Artificial Intelligence model management and operations solutions, today announced continued momentum with enhanced enterprise-focused capabilities added to its MLOps platform. The new updates include additions to Verta’s native integration ecosystem and subsequent capabilities around enterprise security, privacy and access controls, model risk management, and the pursuit of responsible AI. These updates can improve ML model production time by 30x, a feat that furthers Verta’s commitment to solving challenges organizations face with running intelligent products in production in efficient and safer ways at scale.
“The focus of ModelOps is steadily evolving from model experimentation to operational AI where business value is ultimately realized,” said Manasi Vartak, CEO and Founder of Verta. “The consequences and technology ecosystem of AI operating in a production setting are far different from when and where the models are built. We continue to innovate and deliver on our roadmap to provide organizations with a platform to maintain operational excellence and perform to their service-level agreements (SLA), system reliability and high availability requirements, model performance expectations, and governance policies and procedures.”
Automating the delivery, monitoring, governance and scalability of AI has become increasingly important to business success. Verta’s model monitoring capabilities help data science teams ensure their models remain accurate and that their intelligent products keep providing value to customers. By monitoring model performance, data drift and service levels across deployment environments, Verta ensures model-based applications continue to perform at their best.
Also Read: Conflict Observatory Signs Multi-Year Contract With Geospark Analytics
“With Verta, we were able to quickly deploy a model registry that seamlessly integrated with our identity systems and access control requirements, providing the trusted model supply chain Scribd needs to succeed,” said R. Tyler Croy, Director of Platform Engineering at Scribd. “Not only does this positively impact the customer experience by improving the time needed to get models into production, but it also helps attract and retain top talent by removing obstacles between them and their projects shipping to users.”
Verta was recently recognized as a Cool Vendor in the 2022 Gartner® Cool Vendors™ in AI Core Technologies— Scaling AI in the Enterprise report.1 The report states, “Automating delivery, monitoring, governance and scaling up of AI models is becoming a priority for end-user clients.”