Blockchain and its applications in insurance hold tremendous potential to provide financial stability in emerging and underserved economies.

As business interruption risks become increasingly complicated during COVID-19, will Insurtech be able to step up and find ways to cover losses?

MAPTYCS founder and CEO Jacqueline LeGrand talks starting her own company, living abroad and why diversity is vital for the insurance industry.

At St. Joseph’s University, future risk management professionals tried their hands at developing Insurtech solutions that could lower quotes and make the underwriting process more efficient.

A new study from QBE and Village Capital highlights the highly positive impact Insurtech is having on the industry and the customers it serves.

Insurtech continues to bring promise of disruption and innovation to the industry, as one expert expects a transition from big numbers to big data, allowing for a more granular approach to pricing risks.

Becoming more familiar with data and expanding your analytical skills are two ways to do your insurance claims job better.

Apple, BMW and Cisco are just some of the companies that are transforming the way data is used in insurance.

A startup claiming to predict disaster damage and optimize response has attracted insurers’ interest, but flaws in the methodology could put carrier partners at risk.

Smart contracts could very well be the future for commercial insurers. So how can this technology make the claims process easier?

Technology changes the game by easing the burden of record keeping and tilting the workers’ compensation case management field toward true injured worker advocacy.

The rapid-fire advances and increased adoption of smart technology will change the way manufacturers detect and respond to product recalls.

Big data, artificial intelligence and machine learning are driving a shift in the way insurers approach risk and could fundamentally change the business model over the long term.

According to a new report from KPMG, the insurtech space saw a significant decrease in value in 2018, but plenty of deals are still being made.

McKinsey & Company took pains to outline the numerous ways that Artificial Intelligence will change commercial insurance.

MIT researchers conclude that machine learning has the potential to create great efficiencies; that goes for its use in insurance too.

It’s not totally clear how technology will impact large commercial carriers in the future. One industry expert offers his predictions. 

AI is poised to take the actionability of data and the accuracy of insurance underwriting to the next level. And that’s a win for everyone.

The regulatory landscape is changing. Insurance companies need to be on top of these key trends if they want to continue to build successful risk strategies.

With today’s digital landscape, customers have higher expectations for a more streamlined quote experience, which means fast, convenient transactions that are automated and digitally interactive.