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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

Dinah Sykes, running unopposed for insurance commissioner in the state's Democratic primary, discusses the need for guardrails as insurers expand their use of AI.

Employers are increasingly exploring lifestyle spending accounts as a way to deliver health and wellness flexibility to a workforce demanding it.

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.

Travelers made a major bet on AI when it committed to developing its own in-house large language model, TravelersLLM. CTO Mojgan Lefebvre discusses how the company determines the technology's success.

As more Americans turn to GLP-1 medications for weight loss, employers are weighing the benefits of coverage against rising healthcare expenses and long-term costs.

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.