To close the coverage gap, boost growth, and improve the customer experience, it will be crucial for life and annuity insurers to increase their use of AI and modernize processes.

Liberty Mutual and Safeco released findings from Benchmarking Agent Attitudes on AI: Key Takeaways from the 2024 Agent-Customer Connection Study.

Sen. Edward Markey warns that biased AI algorithms are making decisions that deny mortgages to Black people. 

In the context of quick pricing, artificial intelligence can play a key role in formulating customer segments and creating appropriate policy packages.

Insurers are adding artificial intelligence to streamline processes including claims and underwriting, while also combating fraud.

USAA, MMG Insurance and Munich Re executives spoke about these insurers' efforts to model risk and use data proactively to serve policyholders and prevent bias.

Amid the industry's surge in lawsuits over recent years, including the suit against Allstate and State Farm, learn more about past cases and how AI implementation could impact this trend.

Creating and validating an accurate database involves data verification, data cleansing and quality checks.

Lee Ann Thigpen of Robins Kaplan examines how AI is affecting underwriting in the property & casualty space.

Melanie Kolp, senior vice president and chief technology officer of Technology Enterprise Solutions at Nationwide, leads the insurer's efforts to get the most out of Gen AI capabilities while ensuring regulatory compliance and data security.

A new survey from Digital Insurance is taking the pulse of insurers when it comes to technology's impact on insurance fraud.

Digital Insurance reached to insurance agents to ask about what AI tools they're using.

A Nationwide survey suggests independent insurance agents are embracing artificial intelligence to enhance customer experience.

Practical strategies for insurers to overcome the challenges of legacy systems and infrastructures.

AI and machine learning make it easier and more effective for disability insurance customers to engage digitally.

The scope and complexity of data makes Gen AI a useful tool for insurance companies to get and manage relevant information for a variety of functions.

GenAI and other technologies are improving communication, care and outcomes for injured workers.

Gen AI-powered risk mitigation applications provide predictive maintenance and draw on monitoring technology to reduce claims and risk.

Researchers from Lehigh University concluded that telling commercially available language learning models, like ChatGPT, to "use no bias" significantly minimized it.

GenAI is changing how underwriters manage and utilize unstructured data.