Data Analytics

An interview with Chris Cheatham, CEO of RiskGenius, on how insurtech is just in the first inning of a nine-inning game.

Big data is getting bigger and faster. We will not be able to generate meaningful insights without advanced analytics and artificial intelligence.

Better data tools are unlocking potential, improving our resilience to weather-related risk and, at the same time, opening new opportunities.

By uniting with AI, big data is swiftly marching toward a level of maturity that promises a bigger, industry-wide disruption.

Insurers must change direction and move from the data-and-analytics-investment “comfortable zone” and over into innovation.

With machine learning, geospatial analysis and more, firms can predict, prescribe and even perform actions without human intervention.

Recent concerns about the accuracy of big data used in insurance applications reflects badly outdated thinking.

A goal is to use big data to pre-fill forms so customers don't have to answer any questions. But have you seen how unreliable the big data is?