TMCnet News
Verta Gains Significant Momentum with the Addition of New Enterprise-Focused Capabilities to its MLOps PlatformNew capabilities to Verta's MLOps platform address ML engineering and deployment challenges, improving ML model production by 30x PALO ALTO, Calif., Aug. 9, 2022 /PRNewswire/ -- Verta, a leading provider of Artificial Intelligence (AI) 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. "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 delivry, monitoring, governance and scaling up of AI models is becoming a priority for end-user clients." The Gartner report also provides recommendations for data and analytics leaders tasked with AI implementation, including that they should:
Verta strives to seamlessly integrate with the tools and products enterprises already use in their IT infrastructure and ML workflows. Along with an extensible platform and open APIs, Verta has built several native integrations for secure and faster onboarding and roll-out in enterprises. New additions to the Verta native integration ecosystem include:
Building and managing AI is a collaborative process involving stakeholders across multiple teams and functions. As the number of people increases, management of security, compliance and collaboration not only becomes essential but also becomes more complex. Verta provides a comprehensive set of roles and permissions to meet the needs of complex security policies while simultaneously enhancing collaboration and productivity for teams and individuals. The platform's user management interface provides administrators with detailed platform audit logs, allowing them to easily establish integrations and apply IT policies and controls in a completely self-served manner. [1] Gartner, "Cool Vendors in AI Core Technologies — Scaling AI in the Enterprise," Farhan Choudhary, Alexander Linden, Chirag Dekate, Soyeb Barot, Sumit Agarwal, Afraz Jaffri], 27 May 2022 Gartner Disclaimer: About Verta
View original content to download multimedia:https://www.prnewswire.com/news-releases/verta-gains-significant-momentum-with-the-addition-of-new-enterprise-focused-capabilities-to-its-mlops-platform-301602100.html SOURCE Verta Inc. |