Book Description

How artificial intelligence improves insurers' Service performance Can (AI) technology apply to insurance service industry to improve insurance service performance more efficient? Future (AI) robotic learning system can be applied to insurance service industry to help insurance clients to enquiry insurance policies or any insurance policies design matters in more efficient attitude when it can combine to internet technology together in possible. I shall explain the reasons as below: Future (AI) learning system can be characterized by traditional software robotic process and tool is automation, enablement of high-volume, cubes-based activities. So, it seems to assist to insurance industry for these duties include: Simple rules-based process were the primary areas of focus in the insurance industry or making rules-based advisory services. Future (AI) learning system can think and it is characterized by the need to identify coded scenarios and critical incidents, it is intensive research and experimentation in (AI) and enablement of man-machine learning tools. It can reduce time need to bring these benefits to insurance industry, such as rapid adoption of technology in the form of IOT, code halos, big data, social listening as well as it is the foundational stage of insurers to enable (AI) learning systems to better understand insurance customers and what is happening in the market and develop into (AI) learning systems that think. Future (AI) learning systems that learn , can be characterized by self -learning, highly dynamic, non-rules, based adopting systems. SO, it can improve accuracy, piloting systems, and the evolution of commercial (AI) systems. Insurance industry can apply systems that learn by use of (AI) aid human workers, development of the ecosystems for (AI) , evolution from man-machine learning to dynamic underwriting policies, virtual assistants, robotic-advisory and other viable use cases of (AI). So, future (AI) learning systems have possible to be applied to assist humans to underwrite policies, design and new policies plans for insurance medical or life or accident etc. different kinds of insurance policies target buyers' individual insurance needs. SO, it will be one logic mind high technologic tool to assist insurers to reduce time to design any new insurance policies to satisfy every potential insurance buyers' needs more accurate. Can (AI) learning systems reduce medical insurance buyers' claim time, each medical policy evaluation check and confirmation processing time reducing, even assists to insurance agents to answer medical insurance buyers' enquiry time reducing or assist human insurers to design different kinds of unique beneficial medical policy plans to attract medical insurance buyers to choose to buy the insurance company's medical policies more easily? I shall indicate these cases to explain why (AI) learning system can be applied to insurance industry to do any logic tasks. (AI) robotic thinking and learning and doing learning systems can apply to driverless cars. Even, it can be applied to healthcare organizations aspect, organizations are using (AI) solution to enhance diagnoses, real-time patient monitoring and medication treatments. IN fact, many medical or healthcare organizations are applying this (AI) learning systems to build virtual assistants for doctors to improve medical service performance for patients. Moreover, medical product firms and applying (AI) fueled customer and insights to design different fashion of medical products to attract medical product clients to choose to buy their medical products.