Underwriting Automation

Global Cyber Insurance Market Faces New Risks and Structural Shifts
Regulatory & Compliance Global Cyber Insurance Market Faces New Risks and Structural Shifts

European government mandates regarding ransomware reporting and security standards are expected to serve as the catalyst for a surge in SME insurance adoption. This shift is particularly evident as the landscape of corporate risk management undergoes a fundamental transition, moving cyber insurance

How Is Data Reshaping Solar Energy Insurance and Risk?
Data Analytics How Is Data Reshaping Solar Energy Insurance and Risk?

Insurers are increasingly emphasizing automated stow protocols to tilt solar panels at specific angles that minimize the impact energy of destructive hailstones. This technical shift marks a significant departure from the days when solar assets were viewed as static infrastructures with

Gallagher Re Launches New Digital Risk and AI Practice
AI & Automation Gallagher Re Launches New Digital Risk and AI Practice

Traditional insurance categories are struggling to keep pace with technology-driven accumulation exposures that impact property, casualty, and specialty lines simultaneously. This reality has prompted a fundamental shift in how the global reinsurance market evaluates risk in an era defined by rapid

Michigan Supreme Court Rules Insurers Can Rescind Policies
Data Analytics Michigan Supreme Court Rules Insurers Can Rescind Policies

The state's highest court has clarified that insurance companies have the legal authority to rescind policies entirely when applicants provide fraudulent information during the application process. This decision reinforces the principle that insurance contracts are built upon a foundation of mutual

How Is AI Unifying the Fragmented Insurance Industry?
Digital Insurance How Is AI Unifying the Fragmented Insurance Industry?

Navigating the labyrinth of modern insurance often feels like attempting to solve a thousand-piece puzzle while the box lid keeps changing its picture. For decades, the sector operated as a patchwork of disconnected systems, forcing agents to juggle manual entries and endless phone tag. While

Insurers Must Upgrade Analytics to Model the Unknown
Data Analytics Insurers Must Upgrade Analytics to Model the Unknown

Firms are attempting to model the unknown by transitioning toward sophisticated machine learning and stochastic techniques, yet this shift is frequently undermined by severe issues regarding the integrity of their underlying data sets. In the current landscape of 2026, the insurance industry faces

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