Predictive analytics

Algorithms and AI are very good at identifying patterns of behavior that predict certain outcomes, which can be used to sort people by the expected cost of care.

Not all data insights generate value to an organization, and some can be downright counter-productive.

But challenges of implementing the technology include regulatory issues, incomplete data, lack of skilled employees and executive support.

The sector is complex, and it is important for carriers to have the appropriate systems and functionalities to support these complexities and enable future growth.

Company's Technology Growth Fund has invested in at least two insurtechs.

Workers' comp insurer selects Valen Analytics' InsureRIght platform, gaining access to vendor's data consortium.

Carrier will establish its recently purchased Hamilton USA business as an analytics unit aimed at leveraging data science for commercial underwriting and claims.

Sastry Durvasula will lead the design and delivery of the broker's data & analytics technology across its global business.

Designed to close protection gaps in China, data-driven product pays off in near-real time after a storm passes through.

Another industry alliance is forged aimed at providing driver data to insurance companies.

Workers' compensation insurer for manufacturers and healthcare organizations, among others, wants to give clients better insight.

Use cases range from risk modeling to fraud detection, says study.

College students were tasked with building data visualization tools for underwriters to assess impacts of catastrophes.

Study suggests predictive analytics to combat the problem, helping carriers shed unwanted policies and validate client information.

Machine learning, deep learning and natural language processing are among the technologies that will help drive organizational success.

Most firms are more ready than they realize to implement the technology, and they fail to see the countless opportunities at hand.

Over the next 12 months, nearly 80 percent of organizations plan to increase their investments for data processing in the cloud, a new study reveals.

The rapidly evolving business intelligence and analytics market is being influenced by seven dynamic trends, according to Gartner Group.

Organizations will use ‘time series forecasting’ to predict, control and change future events and outcomes.

The startup believes it has a winning formula combining big data, smartphones, and machine learning with consumers’ need for instantaneous service.