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

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

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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