Traditional insurance product design relies on human implementation for agent sales and claims adjusters. If This Then That (IFTTT) product design relies on data to pay a defined benefit based on an objective trigger. IFTTT product design aligns with overall strategy common to many InsurTechs. And InsurTechs are uniquely positioned to improve customer and carrier results with IFTTT products. This presentation by Milliman consultant Steve Walsh provide more perspective.
Milliman will debut its proprietary predictive modeling platform at the Insider Tech Conference held in New York City on December 6. Milliman’s recently created analytics software, Solys, uses advanced computer languages, models, and machine learning so that consultants can serve their clients with increased speed, reach, and cost-efficiency.
An internal tool that can be used to benefit Milliman’s current and future clients, Solys simplifies processes, improves data management, and performs advanced predictive analytics using the latest software environments and programming languages. The leading technology increases efficiencies and consultant capabilities in the growing InsurTech field. Milliman consultants will be discussing the tool and the firm’s work in InsurTech at a panel discussion at the Insider Tech event in New York on December 6.
As insurers face disruption around the “Internet of Things,” the shared economy, and autonomous vehicles, it’s vital that their consultants provide the best answers in the fastest and most cost-efficient manner possible. Milliman’s advanced predictive modeling tool enables consultants to address their clients’ InsurTech questions and remain leaders in this rapidly changing industry.
To read Milliman’s InsurTech research, click here. Also, to subscribe to Milliman’s InsurTech updates, contact us here.
Milliman has announced a new innovation in the InsurTech space—a driving “risk score” created with tech start-up Zendrive that is up to six times more powerful than the leading predictive models.
Milliman teamed up with Zendrive, a smartphone-powered driving analytics company, to study how distracted driving and other driving behaviors can lead to auto collisions. Using Zendrive data, Milliman verified the behaviors that were strong indicators of collision frequency and created a risk score to compare the “worst” drivers relative to the “best.” Their findings revealed that the worst 10% of drivers were over 13 times more likely to be involved in a crash than the best 10% of drivers. The results were based on one of—if not the—largest telematics data set in the United States. As of today, Zendrive has captured over 40 billion miles of driving behavior via smartphone sensors.
Smartphones can measure driving behaviors that traditional, first-generation telematics can’t, such as who is driving the vehicle and phone usage contributing to distracted driving. These new-age predictors contributed to a risk score that is over six times more accurate than the current industry leader models, which use traditional hardware-based telematics devices. There’s an opportunity here for auto insurers, especially commercial auto fleet insurers, to be early adopters of this technology, and improve their abilities to measure and rate risk.
To read more about the study, click here. Also, to read more about Milliman’s InsurTech research, click here.
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Applying for a mortgage loan is a process that requires a lot of information to make an informed decision. Even in this digital age the process of obtaining a mortgage remains complex. Can artificial intelligence (AI) technology that makes recommendations based on research from consumer organizations and federal agencies help? Milliman consultant Madeline Johnson looks at the question in her article “Couch surfing for mortgage loans.”
Today actuaries and insurers are able to apply predictive analytics in novel ways because of advanced technologies, larger data sets, and increased computing power. A recent Risk & Insurance article featuring Milliman’s Peggy Brinkman and Phil Borba explores four key areas where advances in predictive analytics are changing the way insurers conduct business: claims, driving safety, property risk, and competitive rating.
Technology is changing the way businesses evaluate risks, transforming customer interactions, and overhauling the purchase process. As traditional insurers strive to overcome legacy systems and practices, how are they successfully keeping pace with new InsurTech entrants? In the Milliman Impact article “Setting the pace: InsurTech transformation,” Neil Cantle, Russell Osman, and Pat Renzi offer their perspectives on the challenges that traditional insurers must navigate.