According to Google Trends, the interest in AI insurance has tripled since 2012. Data has become one of the most valuable commodities for insurers, driving underwriting technology to leverage the latest advances in AI to automatically generate and deliver customized insights relevant to the underwriting processes, as well as increase processing, improve process transparency, and better leverage analytics. As carriers of all lines and sizes are continuing to invest in innovative technologies, data and analytics capabilities designed to utilize AI/machine learning, integration of data sources, and predictive modeling better enable core underwriting capabilities.
Recognize the growing number of practical applications AI has within insurance
Identify (provide use case) of how AI has enabled better underwriting decisions
Define the practical value of AI applications’ ability to aggregate large sets of data in different formats