![ModelOps: Control & Governance Enterprise AI Models [podcast]](https://www.modelop.com/wp-content/uploads/2020/01/Screen-Shot-2020-01-27-at-9.27.23-AM.png)
Watch a demo of the new ModelOp Center version 3.2 hosted by ModelOp’s Dave Trier, VP of Product.
This event, convening a community of AI leaders will explore trends, strategies, and best practices on how to approach and implement AI Governance while navigating the challenges and opportunities related to generative AI.
ModelOp released version 3.2, which includes cutting-edge capabilities to govern and monitor Large Language Models (LLMs) and Generative AI — including internal and third-party models — helping de-risk enterprises while delivering value-generating AI at scale.
Company’s Recent 3.2 Release of Its AI Governance Platform Empowers Leaders to Safeguard Large Language Models (LLMs) and Generative AI without Stifling Innovation
Case Study Reveals Significant Gains from Model Operations Platform and Organizational Alignment.
Data scientists are producing models that are making substantial contributions to the business, and thus more and more models are being used in production applications. But as a result, data scientists face several challenges.
