As insurers look to take advantage of powerful new artificial intelligence (AI) capabilities, they need to modernize and expand their existing data governance frameworks and practices to accommodate the unique needs and risks of AI development. On the one hand they need to incorporate modern technologies and processes to enable them to scale AI development, and on the other hand it is crucial that they prepare for looming and potentially far-reaching regulation on the responsible use of AI.

In this report Celent examines the evolving regulatory environment around AI, its impact on data governance, and suggests how Insurers can best prepare for increased regulatory scrutiny. It also describes how an integrated data governance framework that includes responsible AI governance and modern AI data management practices along with traditional data governance can best support the long-term data governance needs of the enterprise. Modern AI data management practices and technologies such as model management, MLOps, and cloud data stacks are also discussed.