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2020年保险业人工智能现状 - Mantra Labs(英文版)(20页).pdf

上传人: Me****y 编号:20660 2020-10-11 20页 1.33MB

1、The State of AI in Insurance Point of View 2020 1 2 3 4 5 6 Introduction About This Survey Insurance Needs AI. But Why? Key Survey Insights for 2020 Core Challenges to AI Transformation Improving the Customer Experience Journey Collaborating with Insurtechs AI Value across the Insurance Chain Areas

2、with Ripe Investment Opportunity How to Plan for AI in your Enterprise Conclusion Outline 15 17 2 3 4 5 1State of AI in Insurance 2020 Mantra Labs Point of View India accounts for approximately 6% of insurance premium in Asia and around 2% of the global premium volume. However, only around 4% of Ind

3、ias population is insured which is still below the global average. Over the last fifteen years, the old insurance economy has migrated to a fully digitalized marketplace where technology acts as the prime enabler for growth and new profits. In that time, newer market forces have emerged such as youn

4、ger demographics and a growing demand for flexibly-priced insurance products. To bridge the gaps posed by adapting to these complex forces: Artificial Intelligence has helped optimize several core insurance processes such as new business acquisition, channel management, retention and account penetra

5、tion among others. As Insurers continue leveraging AI to match the expectations of simplicity, speed and transparency demanded by their customers the very idea of Insurance itself has begun to shift; passively transitioning into a more bought (by customers) rather than being sold (by agents) conside

6、ration. Insurance businesses have already implemented AI it is a journey that requires time, patience and vision. 6 in 10 insurance executives agree that integrating multiple channels is how they would improve the customer experience journey. We find that their biggest challenge for success is the o

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本文主要探讨了2020年人工智能在保险业中的应用现状和挑战。文章指出,尽管印度保险业在亚洲保险保费中占比约6%,全球占比约2%,但仅有约4%的印度人口投保,远低于全球平均水平。过去十五年,印度的保险业已从传统模式转变为完全数字化的市场,技术成为推动增长和盈利的关键因素。人工智能在优化新业务获取、渠道管理、客户保留和账户渗透等核心保险流程中发挥了重要作用。 调查显示,保险业高管认为AI转型面临的主要挑战是技能和人才短缺,以及高质量AI数据的开发困难。AI能够打破组织间的隔阂,创建统一的客户视图,但保险公司在跨渠道整合方面仍存在滞后。 保险业高管认为,与InsurTech合作开发新业务是改善客户体验旅程的关键。此外,理赔和核保是AI应用最多的领域,AI辅助的核保人员可以更准确地预测实时客户价值。 文章建议,保险公司在规划AI转型时,应首先确定正确的技能实施团队,鼓励实验和失败,并从基础开始培养AI能力。
保险业AI转型面临哪些核心挑战? 如何通过AI改善客户体验旅程? 保险业如何与InsurTech合作创造价值?
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