In this article, learn about the importance of aligning AI initiatives with organizational goals and regulatory requirements to ensure responsible and effective AI deployment.
Learn more about the big business opportunities to be found in small language models (SLMs) in this article by CIO Magazine.
Learn how the Discovery Navigator team at Verisk pursued best practices for delivering responsible and safe AI products to customers.
Learn about key concerns as AI adoption in the insurance industry outpaces advisors' ability to keep up.
Learn how Nationwide Insurance approached their phases of AI adoption to achieve tangible business value. This interview is part of the Scout Insurtech Spotlight series.
Learn how actuaries can embrace artificial intelligence and big data to shape this field for insurers.
High expectations for AI might not be realized without balancing value and risks via well-thought-out AI governance. Get started with great governance today by reviewing this playbook from Gartner (subscription required).
In the race to be at the forefront of artificial intelligence, companies try to stand out for their different offerings and direct business value. Governance might be the key to success.
From the EU AI Act to state-by-state regulations regarding AI usage in the US, rules are appearing almost as rapidly as AI itself. In this article from Fast Company, learn why it’s better to build transparency into AI projects now rather than wait.
To learn more about recommendations for applying AI Governance, Gartner customers can access the latest Hype Cycle for Data and Analytics Governance 2024
Learn how Nayya prioritizes governing with responsible AI practices throughout their modeling systems by continuing to invest in making them safe, resilient, and trustworthy.
From CB Insights: Assess how prepared the 50 top insurance companies are to adopt and respond to rapidly evolving AI technologies.
