Model Governance in the Insurance Industry: A Comprehensive Guide

Implementing strong governance capabilities is not just a risk mitigation strategy; it is a competitive imperative.

In today’s data-driven insurance landscape, robust model governance practices are essential for ensuring the accuracy, reliability, and compliance of the sophisticated analytical models that drive critical business decisions. Effective model governance is essential for insurance companies to maximize the value of their models while minimizing risks and ensuring compliance with regulatory requirements.

This report provides a comprehensive guide to effective model governance practices for insurance companies. It is based on Datos Insights’ ongoing research into the applications of data, artificial intelligence, and emerging technologies in the insurance industry. Research for Datos Insights’ reports includes conversations with vendors and insurers about their technology and business priorities.

Clients of Datos Insights’ Life, Annuities, & Benefits and Property & Casualty services can download this report.

This report mentions Amazon, Datadog, Google, IBM, MetricStream, Microsoft, New Relic, Splunk, and RSA Archer.

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