Monitoring submission activity in real-time allows carriers to detect compliance trends and regulatory risks before they escalate into serious legal issues. This transition toward instantaneous data visibility has completely redefined the relationship between insurance companies and their broad
Secondary perils are becoming a primary concern for the insurance industry as the frequency and severity of these events continue to escalate globally. In the past year alone, mid-sized convective storms and unmodeled flood events accounted for over sixty percent of total insured losses,
Authsnap has introduced a hybrid model that combines artificial intelligence with human clinical expertise to recover denied revenue that hospitals have rightfully earned for services rendered. In an industry where financial margins are narrow, the volume of rejected insurance claims has morphed
The industry's push toward artificial intelligence faces a significant bottleneck because flawed data integrity prevents the accurate deployment of predictive algorithms. This challenge forced a massive transition within the global insurance sector, moving away from historical life tables and
The insurance industry is increasingly adopting virtual inspections where satellite-derived evidence layers replace subjective ground reports to reduce adjustment costs and prioritize the most severe losses. As extreme weather events grow in both frequency and intensity, traditional risk assessment
Effective risk assessment now depends on factors such as the importance of the decision, the level of system autonomy, and the explainability of the resulting output for consumers. At the NAIC 2026 Summer National Meeting in Columbus, Ohio, the Big Data and Artificial Intelligence Working Group
