Machine learning

Google's cloud clients will be able to access Meta's Llama 2 large language model, as well as AI startup Anthropic's Claude 2 chatbot, to customize with enterprise data for their own apps and services.

Digital Insurance spoke with three actuaries about emerging technologies and the challenge of explainability within complex models.

The use of catastrophe models and of sophisticated AI to make coverage decisions are all under debate.

AI-powered catastrophe and risk models use varied sources, including aerial imagery.

In other news: A Nationwide survey shows customers are reducing their homeowner's insurance coverage.

The senior data scientist shares about his work in identifying demographic bias in machine learning models.

The industry may want to build its own large language model.

He shares how new technologies like machine learning and AI are shaking up the industry and the role of insurance agents.

Secretary of the Commonwealth William F. Galvin says a probe into how firms are using AI isn't a condemnation of the tech but an acknowledgement of its potential impact.

Insurers are adapting AI technology to improve customer experience, enhance fraud detection and create accurate risk-ranking models.

Rebuilding artificial intelligence algorithms to explicitly integrate transparency and overcome black box limitations.

In May, the California Department of Insurance sent surveys to property & casualty insurers, to get information about how insurers are using tools like big data, artificial intelligence and machine learning in their decision making processes.

State Farm and Allstate are no longer writing new homeowner policies in California. But some insurtechs argue that with better data, carriers can make more nuanced decisions.

The chief information and operations officer said the company is working to give customers "seamless pickups" from voice to app to website.

Given advances in technology reviewing unstructured documents to identify and extract key terms and medical data can result in an expedited process.

When combined with machine learning, the data extrapolated from aerial imagery acts as a powerful tool in an insurer's toolkit.

US lawmakers on Thursday questioned how new rules for artificial intelligence can protect against the technology's risks without reinforcing the early advantages enjoyed by tech giants such as Microsoft and Google.

Alison Borenstein, director of data science, Assurance IQ, shares three valuable lessons after years of building machine learning technology for agents.

The technologies safeguard insurers' ability to understand historical data and remotely apply those insights to risk modeling and underwriting.

Digital Insurance spoke with Sears Merritt, head of enterprise technology and experience at MassMutual.