Insurance Technology
Article | July 14, 2022
Mr. and Mrs. Garcia purchased their first life insurance policies from their agent more than a decade ago, when their eldest son was born. They soon bundled their home and auto policies for a discount. A few years later, when the Garcias started a small business, they worked with their agent to establish commercial insurance. As the business thrived, the family set up fixed indexed annuities and mutual funds to put their growing savings to work. All of their policies and accounts are easily accessible via an online platform, and when a new need arises, they simply message their agent to discuss a new policy. The agent also reaches out regularly to make sure the Garcias’ evolving needs are always met.
The experience of the hypothetical Garcia family shows how simple it would be for insurers to build deeper customer relationships. But many insurers continue to struggle to develop relationships with their customers that span multiple products. In fact, limited successes in this area have convinced some insurance executives that there is limited value in cross-sales initiatives. In our experience, however, a more coordinated approach can unlock huge opportunities to meet customers’ comprehensive needs through a principal adviser.
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Insurance Technology
Article | July 20, 2022
As AI becomes more deeply integrated into the industry, carriers must position themselves to respond to the changing business landscape. Insurance executives are expected to understand the factors driving this shift and how AI in insurance will impact claims, distribution, underwriting, and pricing. They can start to learn the skills and talent they need, embrace new technology in the insurance industry, and build the culture and perspective they need to be successful in the future insurance market with this grip.
While there are four types of levers that might help with productivity efforts—functional excellence, structural simplification, business transformation, and enterprise agility—insurers typically focus on the first two. Those levers are the foundation of efficient and effective operations, it isn't easy to leapfrog them. Traditional industry barriers are dissolving while technology advances and customer expectations vary dramatically. Ecosystems, which are groups of services that work together in a single integrated experience, are becoming more common across industries. Platforms that connect offerings from different industries are also becoming more common.
In an interview with Media 7, Darcy Shapiro, COO of Americas at Cover Genius, talked about the changing expectations of consumers in the insurance industry.
“Consumers expect brands to provide the same high-quality day-to-day experiences directly within the digital platforms they use most. Insurance should be no different.”
Darcy Shapiro, COO of Americas at Cover Genius
The Increasing Acceptance of Parametric Insurance
In contrast to traditional policies, which are paid based on actual loss incurrence, metric insurance has been around for a while, providing payouts when a specific event exceeds an agreed-upon threshold. Previously being used specifically for natural disaster coverage and supplied to countries and large corporations, parametric insurance is making a comeback today. Advancements in sensor technology, data analytics, and Artificial Intelligence (AI in insurance) create broader information indexes on various levels, which opens up parametric risk applications in novel ways.
A reinsurance company recently introduced a parametric water-level insurance product to shield businesses from the financial consequences of high or low river water levels. The program considers measured water levels at specific river gauges and agrees to pay a fixed amount for each day that the index remains below a predetermined threshold value. Other new-generation parametric solutions include terrorism protection for cities and airports, protection for retailers when transit strikes cut down on pedestrian traffic, and help for hotels when there are outbreaks.
The advantages of parametric insurance include faster delivery and avoiding lengthy claims investigations. Furthermore, since parametric products have less uncertainty than traditional insurance, premiums can be significantly lower. In terms of technology, parametric insurance is best suited to blockchain technology, with smart contracts that pay out automatically when certain parameters are met.
A Flood of Data from Connected Devices
Fitness bands, home assistants, smartwatches, and other smart devices are rapidly becoming a part of our daily lives. In addition, smart clothing and medical devices will soon join the fray.
Sensor-equipped equipment has long been common in industrial settings, but the number of connected consumer products is expected to skyrocket in the coming years. Existing gadgets (such as automobiles, fitness trackers, home assistants, smartphones, and smartwatches) will continue to grow. In contrast, new and expanding categories (such as clothing, eyewear, home appliances, medical devices, and shoes) will join them. According to analysts, interconnected devices will reach one trillion by 2025.
The data generated by these devices will result in a flood of new data that carriers can use to understand their customers better, resulting in new product categories, more customized pricing, and an increase in real-time service delivery.
The insurance industry can mine the data generated by these smart devices to better understand their customers’ preferences. This information can also assist insurers in developing new and more personalized product categories.
The Rise of the Insurance Ecosystem
According to McKinsey, insurance ecosystems will generate 30% of global revenue by 2025.
With an expanding array of data sources and a data-driven culture, many insurers will soon be able to plug into and exploit data from complementing firms. These agreements are evolving to involve traditional insurers as well as technology companies. For example, an insurance firm in Europe teamed up with a smart-home technology vendor to improve its home insurance. The latter's technology can detect smoke and carbon monoxide, preventing losses. In addition, a global initiative of a major reinsurance company is developing an ecosystem for InsurTech start-ups and digital distributors. Recent McKinsey research also shows that the insurance business has been having a hard time making efficiency gains for a long time.
Moreover, the operating expense disparity between the best and worst performers in P & C and life has widened over the last decade. Functional excellence, structural simplicity, business transformation, and enterprise agility are four productivity levers that insurers often focus on. Those levers are essential to efficient and productive operations. Ecosystems, which are groups of services that work together, are formed across industries and platforms that connect offerings from different sectors.
Insurers may use ecosystems to integrate their products into seamless client experiences. Ecosystems are essential in today's interconnected world, whether you want to build direct relationships with customers or work with companies that act as the customer interface.
Advancements in Cognitive Technology
Cognition is a critical component of AI in insurance. AI cognitive technologies mimic how the human brain functions. In addition, new technology may make it easier to process huge amounts of data, especially from active insurance products that are linked to specific people.
Carriers can constantly learn and adapt to the world thanks to cognitive technologies. As a result, it can enable insurance companies to introduce new product categories and engagement techniques and respond in real-time to changing underlying risks. In addition, convolutional neural networks and other deep learning technologies, which are currently used primarily for image, audio, and unstructured text processing, will be used in various applications in the future of insurance industry.
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Automobile Insurance, Insurance Technology
Article | December 19, 2022
In the insurance industry, artificial intelligence (AI) has become a buzzword. Nonetheless, despite the fact that we are still in the early stages of AI implementation, the industry has made significant progress.
The Need for AI in Insurance
Insurance is a long-established and highly regulated industry. Perhaps as a result, insurance companies have been slower to adopt technological change than other industries. Insurance is still dominated by manual, paper-based processes that are time-consuming and necessitate human intervention. Even today, customers must deal with time-consuming paperwork and bureaucracy when filing a claim or enrolling in a new insurance policy. Customers may also pay more for insurance if policies are not tailored to their specific needs. Insurance is not always a pleasant customer experience in an age when most of our daily activities are online, digitized, and convenient.
Having said that, we are beginning to see a global push by insurance companies to enhance their technological capabilities in order to do business faster, cheaper, and more securely. There have been several notable examples of insurers investing heavily in Artificial Intelligence solutions in recent years.
If AI technology is fully applied to the insurance industry, McKinsey estimates a potential annual value of up to $1.1 trillion.
How are insurers implementing AI?
There are numerous examples of insurers around the world using AI to improve both their bottom line and the customer experience. There are also a slew of start-ups offering AI solutions to insurers and customers. I'll discuss a few interesting cases here.
The Future of Artificial Intelligence in Insurance
AI has the potential to transform customers' insurance experiences from frustrating and bureaucratic to quick, on-demand, and more affordable. Customized insurance products will attract more customers at lower costs. If insurers apply AI technology to the mountain of data at their disposal, we will soon see more flexible insurance, such as on-demand pay-as-you-go insurance and premiums that adjust automatically in response to accidents, customer health, and so on.
Insurance will become more personalized as insurers use AI technology to better understand what their customers require. By accelerating workflows, insurers will be able to save money. They will also discover new revenue streams as artificial intelligence-driven analysis uncovers new business and cross-selling opportunities.
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Core Insurance
Article | July 11, 2022
Despite economic pressures on reinsurers and cedants, nearly all buyers were able to secure coverage during the reinsurance renewal period. However, attachment levels and the cost of ceding risk were higher than most buyers desired, and supply constraints in some lines and territories caused stress not seen in years. As a result, according to Gallagher Re's latest 1st View renewals report, the reinsurance market has maintained its firming trend.
Despite mostly positive H1 2022 results, the combination of inflation and rising interest rates has caused reinsurers to adjust their balance sheets and reserves while also taking into account how a recessionary environment may increase claims frequency.
These economic factors, combined with sustained loss levels, allowed reinsurers to maintain upward pricing pressure as they sought to reduce their appetite for volatility.
Key Contributions to Understanding:
Natural disaster capacity decreased overall as reinsurers continued to shift away from low-level layers, which differed by country and region.
Reinsurers were seen assessing cedants' inflation-related actions and applying carefully calculated loadings to relevant treaties.
The Russian invasion of Ukraine increased interest in cyber and war contract provisions.
Long-tail casualty placements remained popular among reinsurers, but there was more debate about ceding commissions than in recent renewals.
Higher ILS risk transfer prices have attracted net new capital, but this has not resulted in market softening.
The inflation discussions have been detailed and technical, with reinsurers eager to challenge cedants' model outputs. Most reinsurers are assessing reserve adequacy as interest rates rise, in addition to their concerns about primary rate adequacy in the new inflationary environment.
They are experiencing effects simultaneously on the asset and liability sides, which has strengthened their resolve to maintain the pricing momentum of the previous two years.
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