Opinion News from Digital Insurance

Effi Fuks-Leichtag, chief product officer at ERGO NEXT Insurance, writes about how entrepreneurs are turning to AI search tools for insurance guidance.

A wave of new AI-enabled frameworks for marketing mix modelling are becoming the new standard among forward looking marketing leaders, writes Karl Canty, partner at Artefact.

Recent chemical incidents in Washington and California highlight the peril of forgoing pollution coverage, writes Dennis Willette, SVP and head of environmental at Westfield Specialty Insurance.

When AI can make false evidence look real, insurers can struggle to know who to trust, writes Tom Rasmussen, vice president of product for claims at Carpe.

The tasks that fill BPO delivery centers sit squarely inside what agentic AI systems handle today, writes Martin Henley, CEO of mea Platform.

Insurance companies with the greatest advantage will adapt products and experiences locally while reusing capabilities globally.

The property-and-casualty insurance industry is undergoing a major digital transformation with the rise of generative artificial intelligence, writes Abhishek Peter, manager of digital marketing at FECUND Software Services.

The rise in infostealer malware and increasingly sophisticated phishing campaigns is compounding the problem for insurers.

Connected systems can help consumers understand each stage of the life insurance journey and ensure a more seamless, less fragmented consumer experience.

Virtual and mixed reality still have value for internal use and customer experience, even if other industries are moving on, writes Mark Klein, Chief Digital Officer at ERGO Group AG.

Legacy infrastructure, data challenges, workflow integration issues, regulatory concerns and skill shortages remain key obstacles in 2026

The carriers that are getting it right aren't using AI to replace adjusters.

Organizations that prepare early will be better positioned to protect their people and minimize operational disruption when severe weather strikes.

A successful insurtech venture requires a strong combination of innovation, insurance expertise, regulatory understanding and scalable technology, writes Abhishek Peter, manager of digital marketing at FECUND Software Services.

Insurance companies are unknowingly turning away customers when technology fails both the applicant and the human handling customer service, writes Michael Podgortsev, director of data and AI strategy, speaks from personal experience: A hum

AI is a limited resource, powered by even more limited resources. Carriers must not forget that, writes Jim Girard, vice president of engineering at Benekiva.

The insurers that build for execution, rather than waiting for the next tool or the next shock, will be the ones still keeping pace when the systems around them strain.

New systems will help but insurers first need to organize institutional knowledge and review processes.

As data sources expand and risks become more dynamic, embeddings are influencing how insurers assess risks, segment portfolios and support underwriting and pricing decisions, writes writes Brian Keller, PhD, vice president of AI and data science for LexisNexis Risk Solutions.

Teams should revisit sourcing decisions continuously, rather than treat them as fixed multi-year commitments.