What data or technology can insurers use to better manage risks?

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Natural disasters are evolving in scale and complexity, putting insurers and consumers alike on uneven footing when calculating risks, determining coverage eligibility and putting a price tag on recovery efforts.

These challenges aren't new, but technological shortcomings in the insurance space have propelled weather events ahead of the capabilities of insurers' risk models and left many homeowners either woefully underinsured or not insured at all.

Risk managers are hopeful of the promises that artificial intelligence and other emerging technology bring not just to property and casualty insurance, but life and other markets as well.

George Hosfield, vice president and general manager of home insurance solutions at LexisNexis Risk Solutions, told Digital Insurance that his segment has seen strong consumer reception from a computer vision angle and aerial imagery being interpreted by computer vision.

"AI has been a pretty successful use case in our market, both on the underwriting side and on the claims side really, and I think that's been kind of the gateway for a number of other technologies to come into play," Hosfield said.

Read more: How is technology changing the role of risk managers?

A recent survey conducted by DI found that roughly 20% of insurers are turning to AI to help improve risk assessment and compliance monitoring. Other top uses included task automation and improving employee efficiency.

More than half said their organization's AI investments to boost risk functions yielded results on par with initial estimates, while 7% said results have been slightly above expectations and 27% responded investments generated results significantly above expectations.

Jeff Batiste, senior vice president and general manager of LexisNexis' U.S. auto division, told DI that the "highly regulated" nature of the insurance industry means AI adoption has to be thoughtful and measured, not haphazard.

"For us it's really about operational efficiency inside of our business that allows us to increase both speed and accuracy of what we do in providing data, and on the customer side, it's really about removing friction from their workflows, really from the quoting process to the claims process," Batiste said.

Read more: What are the whys behind AI adoption in insurance firms?

Below are insights from insurance professionals on how companies can employ new technology or data sources to stay ahead on risk assessment and possibly tap new markets in the process.

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Insurers need to turn their systemic risk lenses inward

Insurers are the market experts in systemic risk, evaluating it across industries and geographies to manage portfolio exposure. For decades, if not centuries, they've analyzed risk clusters, stress-tested potential loss scenarios, and quantified financial exposure, perfecting underwriting strategies and optimizing policy terms and conditions. 

Yet, despite this aptitude, many fail to apply the same level of scrutiny to their operations, especially when it comes to cyber risk. As cyber threats become more costly and grow more intricately connected, these insurers must start applying the same risk assessment rigor to their internal operations and digital infrastructure.

Insurance companies, like their portfolios, are not immune to cyber threats. They, too, rely on cloud-based third-party services to successfully carry out critical operational functions, ranging anywhere from email to payment processes. While these digital solutions have grossly increased workplace efficiency, their adoption does not come without the potential for wide-scale cascading consequences.

Read more: How insurers can use systemic risk knowledge internally, written by Yakir Golan, chief executive and co-founder of Kovrr

Two women stand looking at their home destroyed by wildfire in Altadena
Residents embrace outside their childhood home destroyed by the Eaton Fire in Altadena, California, on Jan. 23, 2025.
Kyle Grillot/Bloomberg

Insurers are scrambling to keep pace with changing wildfire risks

The rise of destructive wildfires across the western U.S.—and especially in California—has reshaped the P&C insurance landscape. What was once perhaps considered a seasonal concern has become a year-round, multi-billion-dollar risk factor. As carriers navigate increasingly volatile conditions and rising loss ratios, a key question looms: Can risk models evolve fast enough to preserve market stability?

The answer depends on how quickly and effectively the industry adopts – and regulators approve - the next generation of wildfire risk modeling.

Traditional approaches to wildfire risk assessment are faltering in the face of accelerating losses, urban encroachment, and stressed suppression infrastructure. Broad-brush underwriting techniques that once sufficed now lead to inaccurate pricing, blanket rate increases, market subsidies that increase costs in non-wildfire areas and, in some cases, market exits.

Welcome to a new era where modern technology offers a smarter path forward.

Read more: Can insurers keep up with evolving wildfire risk, written by Tammy Nichols Schwartz, senior director of data and analytics for Guidewire

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New tech is helping insurers manage risks more effectively

Similar to leaders in other sectors, insurance executives are still in the infancy of trying to assess the extent to which emerging technologies such as Generative AI (Gen AI) will reshape business operations. 

For an industry steeped in analyzing trends and risk probabilities, today's environment of evolving risks and emerging technologies represents opportunities and challenges for the sector and necessitates a robust and dynamic approach to risk management.  

From regulatory changes to evolving weather patterns to shifting customer expectations, effectively utilizing emerging technologies to assist with risk management is critical for insurance leaders as they seek to not only adapt but also refine their operating strategies to ensure a resilient future for their business. While there is a myriad of examples to explore, below are three areas of note.

Read more: How emerging tech is reshaping insurance risk management, written by David DiCristofaro, financial services line of business leader for KPMG

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Jeenah Moon/Bloomberg

The risks of EV charging fires for insurers are low, but not zero

Five years ago, I installed a Level 2 charger in my garage for my first electric vehicle (EV). I did everything by the book: I hired a licensed electrician, pulled the necessary permits, and made sure my panel could handle the load. Even still, I remember thinking, "What happens if something goes wrong?"

That question is no longer hypothetical for many homeowners and insurers. As EV adoption increases and residential charging becomes more normal, fire risk has emerged as a meaningful coverage concern at the intersection of home and auto insurance.

EV fires, particularly those linked to charging, are still relatively uncommon. Studies suggest EVs catch fire at a lower rate than internal combustion engine vehicles. But when EV fires do happen—especially in residential settings—they're harder to extinguish, often more destructive, and more visible in the media.

Read more: EV charging fires are rare but insurers can't ignore the risk, written by Hugh Allen, principal product strategist at Hi Marley

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Plymouth Rock's bet on IoT for protecting homeowners

Plymouth Rock Assurance is doubling down on its investments in Internet of Things (IoT) technology to better educate and protect homeowners from various risks.

Owen Williams, associate product manager at Plymouth Rock, told Digital Insurance that integrating the technology into their consumer-facing products is a more effective way of ensuring that customers are alerted to any issues and can access the tools more easily. 

"I think one way that IOT technology has made a huge improvement is bundling it with a service component," Williams said. "So, I feel like just taking that extra step beyond just alerting homeowners of risks and being able to have a frictionless way for them to take action, I think it also has made a big difference in our adoption of some of these devices."

One example highlighted by Williams include water monitoring devices bundled with free plumbing repairs, which has led to "very high NPS scores from customers, around 93, who engage with the service," he said.

Read more: How IoT complements Plymouth Rock's coverage strategy

Kyle Grillot/Bloomberg

How insurers can use geospatial data to find clients in high-risk areas

According to a recent study from the Insurance Information Institute, insurers can analyze geospatial property-level data to sift through wildfire-prone areas in California and find insurable properties.

"The traditional approach to wildfire risk assessment has left many Californians without access to affordable property insurance coverage," Dale Porfilio, Triple-I chief insurance officer, said in a statement. "Our research shows that with more detailed, property-level analysis, insurers can confidently offer coverage in areas previously deemed too risky."

Triple-I's report, "Getting Granular to Find Lower-Risk Properties Amid Wildfire Perils," highlighted that while zip codes in Los Angeles, Mendocino and El Dorado were identified by the California Department of Insurance (CDI) as undermarketed by insurers, fire suppression rates were quite high at 90% in areas of Los Angeles, 95% in Mendocino and 97% in El Dorado.

Read more: Geospatial data uncovers lower wildfire-risk properties in California, Triple-I

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