Artificial Intelligence

AI use may result in significant additional regulatory burdens for insurance producers.

Global insurtech funding ballooned during Q2 2024. Here, an Xceedance exec sounds off on the trends.

AI bias occurs when an algorithm produces prejudiced results due to erroneous assumptions in the machine-learning process.

In a time marked by high policyholder churn and a growing insurance-talent crisis, AI can help.

Applied Systems CEO: Next year's event will explore specific AI use cases to grow books of business.

Less than one-quarter of employees indicated they feel completely educated and trained on AI.

Balancing innovation with regulation: Carriers considering AI for complex workflows must be aware of evolving governance.

The AI-enabled data models promise greater insights for insurers as they assess risk and strive for profitability in today's tight market, says Scott Ham in this podcast.