![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)
Many equate governance with “process overhead” or “big brother” watchdogs, often stalling innovation and reducing productivity. So how does an enterprise get started with the right level of governance to protect the organization, without stymying innovation?
Global, federal, and state-level governments are moving quickly to implement AI regulations. While reading this, you may be asking, “If I want to use AI, what do I need to do now to prepare my organization now?”
Three noteworthy conversations to help executives and AI leaders weigh the untapped potential of AI versus the risks.
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.
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
