How can the insurance industry utilize a Predict & Prevent approach? The Institutes’ CEO Pete Miller dives into this question in a bi-weekly podcast.

Sensors and data-driven intelligence are a foundational part of the Predict & Prevent model. Pete Miller digs in on how each can prevent loss.

The third installment of podcast Predict & Prevent explores how IoT sensors can be used to detect water leaks. Here’s how one partnership between risk manager and insurer demonstrates how these new tools can predict and prevent loss.

Katie McGrath of Swiss Re shares her view on catastrophic weather events and their impact on insurers and insureds alike.

When it comes to putting the idea of Predict & Prevent into practice, the whole team — insurer, risk manager, everyone — must be involved.

To withstand today’s multifarious perils, risk managers need to lead enterprise-wide strategy, but they can’t do it alone.

Research reveals what is possible when collaboration is employed to solve major challenges facing society.

When it comes to predicting and preventing natural catastrophe property losses, risk professionals are finding tech solutions rooted in resiliency. 

Telematics and crash avoidance technologies are predicting and preventing accidents, making our roads safer.

A raft of new innovations and technologies is advancing the cause of predicting and preventing general property losses.

Data-capturing technology can help management teams evaluate the safety of nearly every workplace and, in the process, predict and prevent worker injuries.

If insurance and other entities don’t full apply the science of predicting and preventing losses, they may face unmanageable claims. 

Traditional risk transfer is no longer adequate to keep up with the colossal forces transforming society. We need an ounce of prevention.