Product Demo: Govern Generative AI with the New ModelOp Center version 3.2
09/08/2023
Watch a demo of the new ModelOp Center version 3.2 hosted by ModelOp’s Dave Trier, VP of Product.
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.
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.
Exciting news up here at the off grid cabin location, we now have actual real high speed internet! With Starlink service we have a true high speed connection, and it even uses less power than the Viasat installation did.
Many enterprise leaders have taken a “Field of Dreams” approach to AI ROI — “If we build it, profits will come.” While it’s one thing to take that approach for smaller pilot projects, it’s another thing when you’re consistently being asked to fund initiatives with seven-figure price tags.
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.
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.
Exciting news up here at the off grid cabin location, we now have actual real high speed internet! With Starlink service we have a true high speed connection, and it even uses less power than the Viasat installation did.
Many enterprise leaders have taken a “Field of Dreams” approach to AI ROI — “If we build it, profits will come.” While it’s one thing to take that approach for smaller pilot projects, it’s another thing when you’re consistently being asked to fund initiatives with seven-figure price tags.
