The EU AI Act delay isn't a reprieve. Here's how insurers should use the 16-month runway to build defensible AI governance before December 2027.
Get help with AI governance. Organizations that invest in great AI governance and align AI literacy across organizations are better equipped to use AI successfully while reducing risks.
Regulation is a mere fraction of why AI governance matters. When approached comprehensively, governance programs accelerate AI investments to achieve business goals while managing AI risks and ensuring the company uses its resources to succeed.
Does every AI agent need to be built with an LLM for reasoning? No. Explore AI agent use cases and why agentic AI governance is mandatory for successful AI agent implementation.
Learn how AI helps insurance companies, the importance of having a governance framework for AI, the role of CIOs in AI governance, and the future of AI in the insurance industry.
Learn how to scale model documentation methods for AI and complex modeling systems. Avoid the common mistakes that teams make early on.
Explore governance of foundation models and generative AI products. Learn about evaluating and governing these technologies in third-party management and model risk contexts.
In the aftermath of a worldwide IT incident, what can we learn about how to properly build and govern robust, performant, resilient AI systems, the right way.
What should you consider when teams tell you they’ve got AI “covered”? To increase your chances of success with AI, align your organization and projects around the following actions.
Learn about the goals of information theory, define the differences between metrics and divergences, explain why divergences are the wrong choice for monitoring, and propose better alternatives.
