Predictive analytics

Northside Hospital in Atlanta is adopting machine learning technology to enable the organization to predict when insurance companies will end payments.

A new study finds that within the next two years, all large and midsize carriers will use predictive analytics in their group life operations, while nearly half of small insurers will deploy similar capabilities.

Launched in New Jersey, the insurers’ first foray into the line of business focuses on reducing friction in the buying process.

Among the key drivers of market growth are rising demand for advanced analytics to predict future outcomes and customer requirements and advancements in cloud-based services.

The top areas where insurers will spend new money are predictive modeling and link analysis/social network analysis.

Division working on predictive models and automated underwriting in life insurance launches tool for consumers.

The CAS Institute, a subsidiary of the Casualty Actuarial Society, focuses on the use of analytics in the industry.

New data quality management practices, data discovery techniques and predictive and prescriptive analytics tools will be among the top trends impacting analytics and business intelligence.

Insurers want to use advanced analytics and data to fight fraud, but are going through growing pains in laying a tech groundwork.

The rise in mobile computing has also led to an increase in mobile data analytics, as organizations look to gain more business insights at the edge of the enterprise network.

Founder Stan Smith says the company's data resources position it to help a new range of clients.

Like all other insurers, health payers can reap the rewards of digital transformation and emerging technologies.

The startup companies will go to a final round at the organization's annual conference in New Orleans.

A guide to help carriers understand the rights and risks associated with big data efforts from law firm Mayer Brown.

DFV, which is a heavy user of AI in claims management, wants to double its customer base by 2019.

CSS insurance uses fast sentiment analysis on communications, helping the insurer steer customers toward the best treatment option.

Top reasons cited include rapid technology development, followed by customer needs and expectations, and the need to break down internal siloes to enable better decision-making.

Advanced analytics capabilities are the key platform for new products and services, EY’s David Bassi says.

Members of the Society for Information Management speak out on their initial successes with artificial intelligence, and what future role they think the technology will play.

CIO Jamie Roser credits the carrier’s quick expansion over its five-year lifespan as a company to its digital strategy centered on a cloud-based core system.