Predictive analytics

Duncan Anderson, global technology leader for insurance consulting and technology at WTW, manages insurers' expectations for what AI technology can do to analyze and monitor pricing of coverage.

Climate modeling and data collection technology is just beginning to catch up to the demand for pinpoint accuracy in property risk assessment.

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

Coterie Insurance, a small business insurance underwriter, is seeking to expand its ability to provide instant quotes and coverage with AI-powered data technology.

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.

The Connecticut insurer has banned employees from using OpenAI's public ChatGPT system, but its chief information officer's team is experimenting with at least three use cases for large language models internally, and she has much more on her tech roadmap.

When combined with machine learning, the data extrapolated from aerial imagery acts as a powerful tool in an insurer's toolkit.

Artificial intelligence has the potential to accelerate world-altering innovations, Google DeepMind executive Colin Murdoch said.

Predictive models are a tool to address a business problem, not a solution.

The confluence of the right tech, models, and curated property data empowers the underwriter – and insurers at scale – to better write and manage wildfire risk.