The Importance of Data Quality in the Development of an AI Model

Insurers have a lot of data. What's important is for us to be able to leverage it in the right way and make informed decisions. For insurers, ensuring that our data is accurate, complete and consistent was essential for the development of the reliable AI model. The other big thing for us, of course, is change management and user adoption. Think navigating the transition to AI driven solutions definitely requires thoughtful change management across your organization,. effective communication to ensure user adoption and buy in from employees and stakeholders.