Big data

AI-powered catastrophe and risk models use varied sources, including aerial imagery.

Five best practices can assist in selecting and integrating generative AI data.

The senior data scientist shares about his work in identifying demographic bias in machine learning models.

Analytics and agent-to-broker communications are becoming more popular applications for cloud data management. Marketing and automation applications haven't yet reached that kind of critical mass. Google and Amazon discuss their cloud services approaches.

Rebuilding artificial intelligence algorithms to explicitly integrate transparency and overcome black box limitations.

The National Association of Insurance Commissioners has issued guidance to insurance companies about existing laws and governance requirements they need to follow as they develop and use AI models. Experts say it's a good first step.

Consumers preferred to share data using smart devices in the home: 45% said they are happy to share information via Amazon Alexa, Google Home and the like. A little over a third of consumers (36%) said they were willing to share data through wearables or fitness health tests.

Roots Automation, Cowbell Insurance and Capitola are among the younger companies that have started using GPT technologies.

Data scientist Cathy O'Neil warns that insurance companies need more risk pooling.

In May, the California Department of Insurance sent surveys to property & casualty insurers, to get information about how insurers are using tools like big data, artificial intelligence and machine learning in their decision making processes.