Daniel Bannister

Daniel Bannister is weather and climate risks research lead at WTW.

Most Recent

How Climate Change Supercharges Hail Risk in Europe

Climate change may intensify Europe's hailstorms through stronger updrafts and larger hailstones, though regional trends remain uncertain.

All Articles

The Multibillion-Dollar Threat of Solar Flares

Daniel Bannister

Scott St. George

As solar storms intensify toward 2025's peak, insurers face unprecedented risks to global technology and infrastructure.

The Growing Challenge of Extreme Droughts

Neil Gunn

Daniel Bannister

The Mediterranean shines the spotlight on the vulnerability of food supply chains to droughts, which are predicted to become more prevalent under climate change.

Six Things

Could You Handle Weeks Without Electricity?

By Paul Carroll

A new study raises the prospect that a Carrington Event — a series of gigantic solar flare that would devastate the electric grid — could be even worse that previously feared.

12 AI Deployment Myths Debunked

Organizations rushing to deploy AI face a widening gap between pilot success and production value, driven by persistent misconceptions about capability versus application.

Mining the Rich Data in P&C Claims Testimony

Property and casualty insurers that analyze testimony at scale will price risk more accurately than competitors relying on instinct alone.

A Breakthrough for AI Agents on Claims

Agentic AI solutions are achieving 98% accuracy in claims evaluation while reducing processing timeframes from hours to minutes.

MGAs Don't Have an AI Problem

MGAs have grown to $114 billion in premium but lack time and capital to build AI infrastructure themselves.

Pet Insurance Hindered by Outdated Technology

Many pet insurers find their platforms can't scale beyond direct-to-consumer, turning promising B2B2C partnerships into costly technology projects.

5 Lessons Learned From NYC Flooding

The flash floods that brought New York City to a standstill were another stark reminder that it is no longer enough to simply predict extreme weather. 

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