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輔助還(hái)是代替,保險+人(rén)工(gōng)智能展望
2019-01-12

你(nǐ)有沒有想過,某天你(nǐ)所在的行業将被機(jī)器替代,或許有一天人(rén)工(gōng)智能将取代某些行業。作爲專業性較強的保險行業與人(rén)工(gōng)智能結合,将會發生什麽化學反應?未來(lái)保險行業是否會被人(rén)工(gōng)智能替代呢(ne)?


複旦大(dà)學中國保險科(kē)技實驗室發布《人(rén)工(gōng)智能保險行業運用路(lù)線圖》,人(rén)工(gōng)智能保險行業發展的時間軸可(kě)劃分(fēn)爲三個階段:2006年(nián)起,我國保險業開始進入電子化時代(2006-2015),随之是自(zì)動化時代(2015-2018),直到2018年(nián)開始進入智能化時代(2018及以後)。智能化時代又需要跨過弱智能(2018-2020)和中智能(2020-2030)兩個階段,*終達到強智能時代(2030及以後)。


人(rén)工(gōng)智能的運用,将對保險業有哪些影(yǐng)響:


其一,人(rén)工(gōng)智能對保險客戶服務的影(yǐng)響。從(cóng)用戶接受服務的角度來(lái)說(shuō),保險行業的服務流程主要包括産品設計(jì)、銷售、承保、投保、理(lǐ)賠、售後服務等;從(cóng)保險公司持續健康發展的角度來(lái)說(shuō),必然離(lí)不開精算、風(fēng)險控制、保險資金運用等工(gōng)作環節。在這些服務流程和工(gōng)作環節中,人(rén)工(gōng)智能正逐漸找到自(zì)己的位置并産生了不可(kě)忽視的影(yǐng)響。

 

其二,人(rén)工(gōng)智能對保險核心業務的影(yǐng)響。人(rén)工(gōng)智能對壽險、非壽險及再保險業務也具有不同的影(yǐng)響。借助基因檢測,可(kě)穿戴智能設備等技術(shù)和手段,搜集被保險人(rén)全方面健康數據,并将收集來(lái)的信息與人(rén)們生會變化規律相(xiàng)結合,推算出被保險人(rén)的身(shēn)體(tǐ)健康狀況和生命周期特征,從(cóng)而有利于調整考驗産品結構、對被保險人(rén)健康狀況進行主動有效的管理(lǐ),讓壽險産品的融資功能和保障功能實現有機(jī)融合;在非壽險領域,人(rén)工(gōng)智能主要改變了原來(lái)的風(fēng)險管理(lǐ)和風(fēng)險識别的手段,拓展了保險覆蓋範圍,也催生了大(dà)量基于各類場景的業務形态的出現;對于再保險公司來(lái)說(shuō),人(rén)工(gōng)智能在身(shēn)份識别管理(lǐ)、自(zì)動化保險理(lǐ)賠及反欺詐等領域的優勢,将增強再保險公司的風(fēng)險分(fēn)析和索賠管理(lǐ)能力,從(cóng)而降低再保業務的審定難度,提高保險公司和再保險公司的溝通效率,未來(lái)還(hái)可(kě)能依托區塊鏈、大(dà)數據和人(rén)工(gōng)智能技術(shù)打造再保險交易平台,将對傳統再保險市場形成不可(kě)忽視的替代作用。

 

其三,人(rén)工(gōng)智能對保險從(cóng)業人(rén)員(yuán)的影(yǐng)響。人(rén)工(gōng)智能正逐步滲透到保險業的方方面面,保險公司在享受人(rén)工(gōng)智能帶來(lái)的效率提升的同時,世界各地的保險從(cóng)業者也将面對人(rén)工(gōng)智能可(kě)能對就(jiù)業帶來(lái)的沖擊。



人(rén)工(gōng)智能時代已經到來(lái),下一步有可(kě)能是人(rén)工(gōng)智能爆發式發展的時期。保險行業應具體(tǐ)重哪些層面運用。從(cóng)應用場景來(lái)講,大(dà)緻可(kě)以分(fēn)爲三個層面:


第一,直接面向*終的保險客戶。保險客戶有一個說(shuō)法,叫做保險客戶的客戶關鍵旅程,他(tā)在跟保險公司交互的客戶關鍵旅程,無外乎是從(cóng)一開始的獲取保險産品相(xiàng)關信息,到咨詢、投保,接下來(lái)可(kě)能就(jiù)會有核保,核保之後,生效之後如(rú)果有意外發生,會有理(lǐ)賠,會有增值服務等等。在這樣客戶關鍵旅程裡(lǐ)面,我舉了一些*典型的人(rén)工(gōng)智能應用,可(kě)以看(kàn)到其實到現在爲止應該說(shuō)保險公司在這些領域都(dōu)已經有人(rén)工(gōng)智能産品已經上線在應用了。這其中的運用包含智能投保顧問(wèn),統一身(shēn)份認證,人(rén)臉識别,聲聞識别,圖象識别,智能核保,智能定損,智能理(lǐ)賠等。


第二,基于供應鏈的人(rén)工(gōng)智能應用。保險的産品在人(rén)工(gōng)智能時代也面臨着升級,人(rén)工(gōng)智能能對他(tā)的推動使得(de)這個産品能夠做更加多的個性化的定制。另外在風(fēng)控領域其實人(rén)工(gōng)智能應用也非常多,這個裡(lǐ)面包含了通過對大(dà)量的客戶理(lǐ)賠案例的客戶畫(huà)像建立,通過各種模型跟因子的建立,*後能夠建立起風(fēng)控模型,及時辨識出來(lái)一些有風(fēng)險的理(lǐ)賠客戶,及時的預警,防止在理(lǐ)賠方面的一個更大(dà)損失。具體(tǐ)應用體(tǐ)現在,智能投研,智能投顧。


第三,智能招聘。保險業都(dōu)有開門(mén)紅(hóng),每年(nián)的開門(mén)紅(hóng)都(dōu)是會帶來(lái)巨量的保費收入,在巨量保費收入的背後,每一年(nián)第四個季度大(dà)家都(dōu)在忙着做營銷員(yuán)的招聘,衆所周知,營銷員(yuán)的流失率非常高,招聘的數量真的是海量,人(rén)工(gōng)智能的運用将大(dà)大(dà)的縮減相(xiàng)關時間,人(rén)力,資源成本。



人(rén)工(gōng)智能在保險業的運用尚屬于發展初期,面臨着衆多挑戰。


第一,政策監管障礙。衆多保險公司、科(kē)技公司都(dōu)在涉足人(rén)工(gōng)智能保險相(xiàng)關領域,但(dàn)整個行業沒有統一的标準。監管層面上,目前暫時沒有對人(rén)工(gōng)智能在保險行業的運用制定明确的監管法規,監管的空白(bái)使得(de)人(rén)工(gōng)智能保險行業的運作秩序得(de)不到保障。

 

第二,數據障礙。目前保險行業的數據庫缺乏廣度和深度,曆史數據在質量和數量上遠(yuǎn)遠(yuǎn)達不到大(dà)規模運用人(rén)工(gōng)智能的程度,數據孤島現象嚴重,産品銷售端和服務端往往無法獲取,影(yǐng)響人(rén)工(gōng)智能質量。

 

第三,市場障礙。首先,人(rén)工(gōng)智能将會對保險代理(lǐ)人(rén)群體(tǐ)産生沖擊,這個群體(tǐ)十分(fēn)龐大(dà),利益相(xiàng)關者短(duǎn)期可(kě)能會阻礙人(rén)工(gōng)智能與保險的結合;此外,傳統保險公司的經營理(lǐ)念桎梏是一個潛在問(wèn)題,我國保險行業本身(shēn)潛在市場還(hái)很大(dà),大(dà)衆接受正常的保臉産品尚且不易,接受人(rén)工(gōng)智能保險産品則更難。*後,人(rén)工(gōng)智能技術(shù)的應用深度不夠,除了特定領域,比如(rú)語音識别、人(rén)臉識别等方面,其他(tā)領域運用并不廣泛,隻有全行業廣泛應用的風(fēng)潮到來(lái),保險行業才會迎來(lái)質的發展。

 

第四,研發或技術(shù)障礙。人(rén)工(gōng)智能目前處于發展階段,技術(shù)研發成本高,研發期長,雖然目前人(rén)工(gōng)智能在感知智能層面越來(lái)越成熟,但(dàn)是與真正運用到實業,和保險深入契合,還(hái)存在一段距離(lí)。同時保險是一個多學科(kē)知識結合的學科(kē),需要全方位的知識,面目前人(rén)工(gōng)智能隻能支持單方面的智能,還(hái)難以做到和人(rén)類一樣多方向思考。

 

第五,信息安全問(wèn)題。人(rén)工(gōng)智能保險運用中需要考慮投保人(rén)的信息隐私保護問(wèn)題和安全問(wèn)題,即保險公司獲取投保人(rén)某方面的信息是否合法合理(lǐ),是否存在洩露的風(fēng)險。目前,保險公司在建設安全壁壘、保護好客戶和保險公司的數據信安全方面存在不足。


人(rén)工(gōng)智能的發展,對于保險業來(lái)說(shuō)是挑戰也是機(jī)遇,雖然目前仍然處于初步應用,但(dàn)未來(lái)發展可(kě)期。2019中國互聯網保險創新峰會(CIIS2019)将在4.11-12爲您帶來(lái)保險+人(rén)工(gōng)智能的運用及暢想。


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