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How do you know if you need to update your life insurance policy?
| February 25, 2019
Citizens is a nonprofit, government insurance company that insures Florida home, business and condo owners who are unable to find private-market coverage.
Article | February 12, 2020
It’s not hard to understand the appeal of Robotic Process Automation, or RPA, in insurance: by automating mundane, repetitive tasks like data entry, it can reduce costs and cut cycle times while freeing employees to focus on providing better service to customers. Over the past few years, I’ve talked with, advised, and worked alongside insurance companies as they implemented RPA. All of them have benefited, but few have gained as much as they expected.
The insurance industry continues to be an enabler of innovation. Since its creation three centuries ago, it has become an essential part of the global economy — providing security and resilience to businesses and individuals alike. But the fundamentals of how it operates have barely changed. As we enter a new decade, the industry must reflect the reality of the needs of today’s businesses and society. Large commercial insurers and reinsurers, in particular, have an increasingly urgent imperative to realign their organizations and modify their offerings to include stronger preventive services against new and evolving threats, including climate change and cyber risk. There is a huge opportunity. Our latest NextWave Insurance report reveals that, should the industry act now, an unprecedented growth and profitability spike is within reach. By 2030, we project that large commercial insurers and reinsurers could experience:
Hiring people with skills in machine learning is extremely difficult across industries due to a shortage of talent and skyrocketing demand. But the insurance industry is better positioned than most to overcome this challenge via upskilling. With tens (possibly hundreds) of statistics-minded actuaries already on staff, providing the right tools to nudge them into the world of data science is a small step. Upskilling business staff is also a great way to fill talent gaps, and in many ways, it’s necessary for insurance businesses that want to democratize data science.
For the uninitiated, insurance technology, or InsurTech, is the system of tools and technological innovations that are used to drive improved efficiency compared to older insurance industry models. In 2019, Germany had already begun to position itself as the de-facto hub for InsurTech firms, largely due to the uniquely collaborative nature of InsurTech startups in the country, in combination with extreme interest from international investment firms, which recognize the disruptive potential of many nascent German InsurTechs.
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