Insure Think

Some tasks require so much human judgment, intuition and empathy that it will be a very long time, if ever, before AI assumes control.

Blockchain may well become foundational to the business world and pervasive in insurance, but it is likely to evolve gradually over the next decade.

With today’s digital tools and platforms, the technology can be applied to various aspects of the insurance value chain.

Eliminating the Obamacare component is seen as a way to pay for tax cuts, but its removal could cause instability in the health insurance market.

Policyholders like what digitally focused entrants have to offer, but are more likely to trust established players.

Companies are looking for tighter bonds with their customers, and insurance companies have lots of information to offer.

Strong vetting is crucial to establishing a relationship with a trusted business partner, and paving the way for a successful technology initiative with long-lasting results.

The data discord happening at some organizations may be the result of unclear expectations or a lapse in communication between these individuals.

Most consumers have already benefited from digital, mobile self-service, but have also been victims of tech gone wrong.

Enterprises remain committed to building on their legacy infrastructures, but the massive influx of data poses new challenges to incorporating it all.

Private digital health insurance exchanges could see a boost after President Trump's executive action.

A proposed executive order could exempt "association" health plans from ACA regulations designed to protect people with pre-existing conditions.

By working with Slice, the incumbent insurer will be able to break into a new business line.

Emerging AI technologies will allow insurers to make more nuanced, on-demand decisions and expand their product portfolio.

Insurance companies can help consumers stay informed on risks to lives and property, evolving them into life-coaches.

It’s critical that today's students understand how analytics is evolving and how artificial intelligence can help solve real world problems.

Companies with good remote work procedures can easily switch from in-office setups to work from home or work from alternate location needs.

Insurer’s personal insurance unit is looking to develop lasting relationships with startups in big data, AI and more.

Agine development can help carriers realize their digital goals faster than traditional methods.

While savvy digital transformation can boost businesses, carrier leaders also have to contend with those insurtechs striking out on their own.

But Zhong An's viability is still under review by investors.

Almost a decade after Zurich's implementation, the insurer's cloud journey presents lessons for carriers undergoing similar projects.

This information is exactly what is relied on to verify someone’s identity. It is simply a gold mine for potential identity thieves.

In the wake of hurricanes Irma and Harvey, insurers need to use all tools at their disposal to ensure risks are covered adequately.

Insurers' investments in technologies to settle claims faster and with more accuracy are answering the bell of massive storms.

DI's Women in Insurance Leadership need to understand todays digital environment, especially the tech-fluent generations that require new kinds of coverages as their needs mature.

But with a variety of software for reinsurance claims management increasingly available, that may be changing.

Most initiatives that are designed to improve business performance fail because the organization doesn’t adequately explain the benefits with the change.

This year’s WIL honorees place business goals and achievement ahead of gender concerns.

With data warehouses and modern reporting tools, insurers are better equipped to understand the impact of the catastrophes.

Insurers deploying drones, accessing mobile uploads and analyzing weather data to ensure proper settlement.

Advanced artificial intelligence technology can upend even the most entrenched insurtech.

DR planning is a critical component of every information management strategy, even if the data center is in the cloud.

Data plays a key role in understanding what your customers will be looking to buy next year, in five years or in 10 years, and how that impacts your staffing needs.

The number of incidents has risen rapidly in recent years, but organizations are learning from their mistakes and making improvements.

The division of XL Catlin, whose insurtech portfolio includes smart-device company Notion, seeks exceptional management teams in its ventures.

The latest mandate encourages greater sharing of data between public and private organizations, and establishes protections of privacy and liability for those sharing the information.

Consumers are increasingly concerned that companies are amassing enormous amounts of information about their activities and using it in unethical ways.

The company looks to invest in startups, like the Ring video doorbell, that dovetail with its future vision of insurance.

For companies serious about cutting edge data science functions, this role is key.

To meet the needs of customers and deliver services as needed, insurers need knowledgeable, skilled people to build and manage sophisticated applications, algorithms and analytics.

Firms should be looking at whether they have the right culture and people in place to understand data and how to best keep it safe.

Underwriting procedures are being handled in an entirely new way, impacting everything from data gathering to data analysis.

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.

Insurers that obsess about the technology are focused on the wrong thing.

Salaries can approach $160,000 for a candidate with the right experience says Sam Brown at Empiric.

The rampant proliferation of easy-to-use hacking tools and number of bad actors willing to deploy them means that everyone needs to 'up their game' to stay safe.

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

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.

Deep learning applications may put insurers on the forefront of technology.

Every insurance company is different, and its approach to collaborating with startups needs to conform to its particular circumstances.

Carriers have a huge need for bright, qualified technologists, but risk losing ground to other industries.