AI & Machine Learning

Forward-thinking insurance agencies are ready to put AI to work, but for many, the data just isn’t up to the challenge.

Amazon's closing of its Insurance Store shows the strength of incumbents. AI and telematics offer routes to even better results.

Here are examples of problems with AI to remind us of what it can't do, at least not yet, and of what problems overreliance on it can cause.

Emerging benchmarks will let firms make informed decisions on whether to scale, streamlining the AI implementation process.

AI and business process management are key ingredients of intelligent automation, along with robotic process automation.

Understanding how data can give carriers insights is key, but AI won’t draw accurate conclusions on its own.

The late 1990s and early 2000s demonstrate, for instance, the danger of mistaking investors' enthusiasm for market dynamics. 

Data and AI can function as a personalized fitness coach and virtual care provider, while aiding in workers' recovery.