Due to privacy and data confidentiality concerns, today’s insurance industry is rife with the protectionism of proprietary data, which has become a major roadblock that prevents the free flow of data and collaborations between data scientists and analysts. The inaccessibility of data across the boundaries of insurance firms or even business divisions within a corporation […]
Since the time when cyber insurance was first introduced to the market, there has been a rapidly expanding volume of literature that focuses on other aspects of cyber risk, such as the legal and financial consequences of cyber incidents, and they are closely related to the development of the cyber insurance industry. With the large and […]
For the insurance industry, the potential to understand customers and businesses using new dimensions represented by social and other online data can unleash significant new insights from both customer behavior and risk perspective. These insights can drive insurance automation, underwriting efficiency, and enhanced customer experience. The objective of this project is to develop and optimize […]
For the insurance industry, the potential to understand customers and businesses using new dimensions represented by social and other online data can unleash significant new insights from both customer behavior and risk perspective. These insights can drive insurance automation, underwriting efficiency, and enhanced customer experience. The objective of this project is to develop NLP models […]
An important variable in assessing risk of a commercial/residual building is the actual age of the building. While this seems obvious, obtaining the true age of the building can be challenging. COUNTRY has made use of data available but would like to explore machine learning techniques for assessing the age of a commercial/residual building. Using […]
For the insurance industry, the potential to understand customers and businesses using new dimensions represented by social and other online data can unleash significant new insights from both customer behavior and risk perspective. These insights can drive insurance automation, underwriting efficiency, and enhanced customer experience. This project is a real-life actuarial data science project provided […]
For the insurance industry, the potential to understand customers and businesses using new dimensions represented by social and other online data can unleash significant new insights from both customer behavior and risk perspective. These insights can drive insuranceautomation, underwriting efficiency, and enhanced customer experience. The objective of this project is to develop and optimize the […]
A few years ago, a new investment approach came to market—Defined Outcome Investing (DOI). DOI often promises the delivery of the upside performance of an equity asset to a certain level, with a defined downside protection amount, over a pre-established period. The first DOI ETF was just introduced in late 2018. In the following few […]
Peer-to-peer (P2P) insurance is a decentralized network in which participants pool their resources together to compensate those who suffer losses. It is a revival of a centuries-old practice in many ancient societies where members care for each other’s financial needs in the event of misfortune. With the aid of internet technology, P2P insurance is becoming […]
Sales data provides businesses with valuable information on the profiling of their customers and thus has important implications on business problems, such as the improvement of customer satisfaction, retention rate, and sale efficiency. In this project, a dataset of sales records will be provided by Luyan Pharma, which has not been analyzed and utilized to […]