Tag Archives: Insurtech

The New ABCs: AI, Blockchain, and the Cloud

Insurance customers expect personalized, agile, and on-demand delivery from carriers nowadays. Insurers must keep up with technological advances and implement them to provide solutions that address these expectations. In her Best’s Review article “Mind your ABCs,” Milliman’s Pat Renzi explores why insurance companies must center their strategic initiatives on using emerging technology like artificial intelligence (AI), blockchain, and the cloud. She also explains how partnerships that feature diverse experts will see faster, smarter, and more successful disruption.

Parallel cloud computing enhances actuarial analyses

Parsing a large computational process into smaller independent tasks that run in parallel to each other can help actuaries benefit from the time-saving efficiencies of cloud computing. Machine learning has parallel compute capabilities to assist with these tasks. In this article, Milliman’s Joe Long and Dan McCurley discuss how they were able to cut a three-month machine learning project down to four days using open source tools and the Microsoft Azure cloud.

Insurtech startups can improve chances for success in program business market

There is high-growth potential for insurtech startups in the program business market. As a result these emerging companies are increasingly seeking to partner with or develop their own managing general agents (MGAs). While challenges exist, the morphing of insurtech startups into MGAs can be successful if done properly.

In his article “Getting with the program: Insurtech startups seek MGA success,” Milliman’s Tom Ryan outlines several recommendations that provide key considerations for insurtech businesses looking to develop program business through an MGA.

Here is an excerpt:

How can insurtech startups improve their chances for MGA success?

For insurtech startups looking to become MGAs, there are a number of ways to improve a company’s chance for success. Recommendations, based on past MGA successes, include the following:

• Find a friend. The surest way for an insurtech startup to enjoy the benefits of program business is to partner with an existing MGA and add their competitive advantage to an existing program. One problem with this approach is that it may be difficult to convince an already successful MGA that changes should be made and that it should experiment with an alternative process. The existing MGA may also have a different vision on how to best expand the business and scale up when compared to the insurtech startup and its investors.
• Do the homework. To overcome a lack of historical experience, extra care and consideration should be incorporated into creating a detailed business plan for the new MGA. The business plan should include a description of the market intended to enter, a list of competitors (along with a competitive premium analysis), and a description of the proposed technological competitive advantage and its impact on projected results. A key element of the plan should be a financial model which includes reasonable, industry-based assumptions to show potential carriers what the business results might look like under various scenarios. If the expected results are reasonably justifiable, the proposed plan will gain credibility with potential carriers despite a lack of hard data.
• Add an IPI. A valuable key addition to any new MGA, particularly one primarily staffed by those with a technology focus, would be an insurance professional interface (IPI). Similar to an application programming interface (API), an IPI, such as an experienced underwriter, program manager, or actuary, would allow new tech-based MGAs to better communicate their vision to insurance industry veterans on the carrier side. The right IPI can bring instant credibility to the proposed MGA and its business plan. This will shift the focus from technology (which the insurtech team will tend to focus on) to the expected insurance business results (which is what carrier audience will focus on). An experienced IPI can help with the business plan and financial model creation. The IPI will also be an asset when navigating through changes in the market cycle which have not been experienced in recent years, such as the advent of a hard market.

Milliman’s gradient A.I. platform brings first A.I. predictive analytics solution to professional employer organization (PEO) market

Milliman has announced that gradient A.I., a Milliman predictive analytics platform, now offers a professional employer organization (PEO)-specific solution for managing workers’ compensation risk. gradient A.I. is an advanced analytics and A.I. platform that uncovers hidden patterns in big data to deliver a daily decision support system (DSS) for insurers, self-insurers, and PEOs. It’s the first solution of its kind to be applied to PEO underwriting and claims management.

“Obtaining workers’ compensation insurance capacity has been historically difficult because of the lack of credible data to understand a PEO’s expected loss outcomes. Additionally, there were no formal pricing tools specific to the PEO community for use with any level of credibility—until gradient A.I. Pricing within a loss-sensitive environment can now be done with the science of Milliman combined with the instinct and intuition of the PEO,” says Paul Hughes, CEO of Libertate/RiskMD, an insurance agency/data analytics firm that specializes in providing coverage and consulting services to PEOs. “Within a policy term we can understand things like claims frequency and profitability, and we can get very good real-time month-to-month directional insight, in terms of here’s what you should have expected, here’s what happened, and as a result did we win or lose?”

gradient A.I., a transformational insurtech solution, aggregates client data from multiple sources, deposits it into a data warehouse, and normalizes the data in comprehensive data silos. “The uniqueness for PEOs and their service providers—and the power of gradient A.I.—emerges from the application of machine-learning capabilities on the PEOs’ data normalization,” says Stan Smith, a predictive analytics consultant and Milliman’s gradient A.I. practice leader. “With the gradient A.I. data warehouse, companies can reduce time, costs, and resources.”

For more on how gradient A.I. and Libertate brought predictive analytics solutions to PEOs, click here.

Top 15 global articles and reports for 2017

Milliman’s most viewed articles worldwide in 2017 covered topics related to healthcare in the United States, the rise of InsurTech, and the challenges of IFRS 17. (For summaries and links to all of the articles, click here.)

Here is the list of the top global articles and reports for the year:

15. MACRA: Key Considerations for health plans, By Colleen Norris and Mary van der Heijde

14. Multiemployer Pension Funding Study, By Kevin Campe

13. The American Health Care Act, By Jason Karcher

12. MACRA and Medicare Advantage plans: Synergies and potential opportunities, By Christopher Kunkel, Drew Osborne, Lynn Dong, Michael Polakowski, Noah Champagne, and Charlie Mills

11. Effective employee communication: The benefits of best practices, By Jessica Gonchar, Heidi tenBroek, and Sharon Stocker

10. Building blocks: Block grants, per capita caps, and Medicaid reform, By Justin Birrell, Jennifer Gerstorff, Nicholas Johnson, and Brad Armstrong

9. Overview and practical considerations of the new insurance contract standard: IFRS 17, By Gillian Tucker and Andrew Kay

8. InsurTech: Innovation in the P&C insurance space, By Thomas Ryan

7. The employer stop-loss insurance marketplace since the Affordable Care Act, By Mehb Khoja

6. 2017 Public Pension Funding Study, By Rebecca Sielman

5. Summary of individual market enrollment and Affordable Care Act subsidies, By Paul Houchens, Jason Clarkson, and Zachary Fohl

4. Impact of the transition from RAPS to EDS on Medicare Advantage risk scores, By Deana Bell, David Koenig, and Charlie Mills

3. Corporate Pension Funding Study, By Zorast Wadia, Alan Perry, and Charles Clark

2. Pension Funding Index, By Zorast Wadia and Charles Clark

1. Milliman Medical Index, By Christopher Girod, Susan Hart, and Scott Weltz