AI & Machine Learning

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.

The traditional business model has been resilient, but insurers must strive to exceed the evolving expectations of customers.

AI can drive productivity gains and product innovations and improve the employee experience, so the future is bright. 

While today's digital environment allows new fraudulent behaviors, it's making identifying and stopping fraudulent activity easier than ever before.

Cameras and AI outperform human observation, which has limitations due to lack of time and inability to objectively measure improvement.

From enhanced computing power for AI to its ethical implications in creative endeavors, there are both opportunities and challenges.