WELCOME TO The POLICY REPORT
5 Email Marketing Tips for the Insurance Industry
| January 18, 2018
More than 18,500 policyholders in residential and light commercial construction as well as variety of non-construction fields rely on Builders Insurance Group to protect their most important assets people and property.
Article | March 27, 2020
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.
The losses and costs resulting from the outbreak of coronavirus are estimated to be in the enormous sum of four trillion US dollars – but we don’t see this as reason to panic. Thanks to a mobile-first approach, technical infrastructure and direct sales, insurtechs are protected against the crisis and, right now, they are one of the most promising business models, in one of the largest markets in the world. The developments surrounding coronavirus could therefore even be described as a catalyst for insurtechs. Crises reveal how strong a digital business model is. And coronavirus in particular demonstrates the extent of the technological lead over traditional insurers.
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.
Big data has helped the financial services industry, including with the insurance industry, evolve like never before. Maximum count of traditional insurers and insurance corporations are preferring big data analytics to boost client expertise. Moreover, insurers are utilizing massive big data to its fullest capability or are there scope to try and do more? The insurance regulator has already allowed a sandbox, a mechanism to promote and facilitate innovation, and currently, the Federal Reserve Bank of Asian country has planned a sandbox for fintechs. Disha Sanghvi asks specialists if this may cause higher utilization of massive information and a lot of innovation within the insurance space.
Keep me plugged in with the best
Join thousands of your peers and receive our weekly newsletter with the latest news, industry events, customer insights, and market intelligence.
Put your news, events, company, and promotional content in front of thousands of your peers and potential customers.
Not a member yet? Not a problem, Sign Up
Sign up to contribute and publish your news, events, brand, and content with the community for FREE