Data and information management

Digital Insurance spoke with three actuaries about emerging technologies and the challenge of explainability within complex models.

Consumer advocate notes that insurance regulators' standard for data collection lags regulators of other types of financial services

The Paris-based insurance group, is in the final year of a strategic plan kicked off in late 2020 and is expected to unveil a new one in early 2024.

AI-powered catastrophe and risk models use varied sources, including aerial imagery.

Five best practices can assist in selecting and integrating generative AI data.

The senior data scientist shares about his work in identifying demographic bias in machine learning models.

The release of two malicious language models — WormGPT and FraudGPT — demonstrate attackers' evolving capability to harness language models for criminal activities.

Companies that don't use the technology on average pay $1.76 million more and take 108 days longer to respond to incidents than firms that utilize it.

Analytics and agent-to-broker communications are becoming more popular applications for cloud data management. Marketing and automation applications haven't yet reached that kind of critical mass. Google and Amazon discuss their cloud services approaches.

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