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保險業AI 大(dà)盤點:這10家公司值得(de)關注
2019-01-12

目前全世界共有2000多家人(rén)工(gōng)智能創業公司,涉及領域橫跨各行各業。尤其在保險業,人(rén)工(gōng)智能的崛起,讓這個古老的行業又一次煥發出了往日(rì)的活力。一方面,AI技術(shù)的預測分(fēn)析能力有可(kě)能會取代傳統精算師(shī)的職能,降低保險公司的成本以及幫助保險公司做出更加**的預測。另一方面,基于AI技術(shù)的自(zì)動駕駛汽車的出現,将對車險行業造成****的沖擊,未來(lái)的車險形态或将煥然一新。

本文整理(lǐ)了10家主打人(rén)工(gōng)智能的海外保險創業公司,希望能對大(dà)家了解全球範圍内人(rén)工(gōng)智能在保險領域的應用有所幫助。

Lemonade——家财險的極速體(tǐ)驗

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Lemonade成立于2015年(nián),總部坐落于紐約的他(tā)們已經獲得(de)了來(lái)自(zì)谷歌、安聯、紅(hóng)杉資本等企業共計(jì)6000萬美元的投資。

Lemonade通過移動端app爲消費者提供家财險服務,整個銷售過程都(dōu)是由其智能聊天機(jī)器人(rén)負責的,消費者可(kě)以體(tǐ)驗到全自(zì)動的保險購(gòu)買體(tǐ)驗。客戶僅需要花90秒就(jiù)可(kě)以完成投保,在理(lǐ)賠時,隻要花3分(fēn)鍾的時間就(jiù)可(kě)以獲得(de)理(lǐ)賠款。

Lemonade的家财險面向租客和屋主兩個群體(tǐ),其月保費分(fēn)别是5美元和25美元起。優惠的價格以及極速的體(tǐ)驗讓Lemonade獲得(de)了紐約消費者的喜愛。據Lemonade透露的數據,他(tā)們的客戶都(dōu)是從(cóng)下圖所示的傳統保險公司中轉投而來(lái)。

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Lemonade的人(rén)工(gōng)智能主要應用于智能客服機(jī)器人(rén)所負責的銷售和理(lǐ)賠環節。

延伸閱讀(dú):Lemonade發布2016Q4數據:保費收入18萬美元,理(lǐ)賠案件(jiàn)6起

Captricity——數據賦能工(gōng)具

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成立于2011年(nián)的Captricity,專注于爲保險公司提供數據服務,他(tā)們利用機(jī)器學習算法從(cóng)傳統的紙質保單文件(jiàn)中識别并提取信息,将信息轉換爲電子格式進行存儲。其數據轉換的準确率超過99.9%。

佛瑞斯特研究公司(Forrester)的分(fēn)析師(shī)Ellen Carney對Captricity如(rú)此評價道:

通過和Captricity的合作,紐約人(rén)壽保險公司得(de)以将五十多萬份商業險投保申請(qǐng)書(shū)的數據數字化,從(cóng)而加快(kuài)了核保承保的速度。此外,Captricity還(hái)通過提取過去(qù)10年(nián)間所有死亡證明書(shū)中的死因數據,幫助保險公司改善其壽險的精算模型。Captricity的數據服務爲保險公司節省下了50%的人(rén)工(gōng)支出。”

Captricity和他(tā)的數據服務大(dà)大(dà)提高了保險公司産品的**度,因此目前有半數的美國大(dà)型保險公司都(dōu)在使用Captricity的服務。

Cyence——量化網絡風(fēng)險

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成立于2014年(nián)的矽谷創業公司Cyence目前已經獲得(de)了4000萬美元的融資。他(tā)們開發的分(fēn)析平台可(kě)以量化網絡風(fēng)險可(kě)能給企業帶來(lái)的潛在經濟損失。

随着互聯網深入各行各業,網絡安全已經成爲所有企業面臨的*大(dà)的運營風(fēng)險之一。一個黑(hēi)客所竊取的信息,對于某企業來(lái)說(shuō)可(kě)能就(jiù)價值數十億美元。作爲保險公司,如(rú)果你(nǐ)沒有一個量化這種網絡風(fēng)險的方法,又能如(rú)何爲那些企業提供保險方案呢(ne)?

Cyence打造的正是保險業内第一家利用數據和概率來(lái)分(fēn)析和量化網絡風(fēng)險的平台。他(tā)們利用機(jī)器學習算法對大(dà)量的數據和信息進行整合分(fēn)析,并模拟網絡風(fēng)險的沖擊,從(cóng)而估算出企業所面臨的潛在經濟損失。

Zendrive——保險公司的移動監視器

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你(nǐ)知道嗎(ma)?在美國,平均每四起車禍事(shì)故中,就(jiù)有一起是因爲開車看(kàn)手機(jī)導緻的。成立于2013年(nián)的Zendrive已經獲得(de)了2000萬美元的融資,爲了改善司機(jī)習慣,他(tā)們開發了一款移動端app,利用智能手機(jī)的傳感器對司機(jī)的駕駛行爲進行記錄和評分(fēn)。

保險公司和Zendrive合作,對安裝了該應用并且行爲記錄良好的司機(jī)用戶提供高達25%的保費優惠折扣。

Zendrive曾對300萬名美國司機(jī)做過爲期3個月的調查報告,調查範圍涉及5.7億次出行,累計(jì)裡(lǐ)程達56億英裡(lǐ)。調查結果顯示,司機(jī)在駕駛過程中使用手機(jī)的頻率高達88%。下圖顯示了美國各州平均每人(rén)每次出行使用手機(jī)的頻率。

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可(kě)見(jiàn)目前司機(jī)的駕駛習慣依然存在很大(dà)的問(wèn)題,可(kě)供Zendrive改善的空間還(hái)很大(dà)。

Cape Analytics——房(fáng)屋勘測輔助服務

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Cape Analytics于2014年(nián)在矽谷成立,已經獲得(de)1400萬美元融資的他(tā)們将機(jī)器學習技術(shù)和計(jì)算機(jī)視覺以及空間圖像技術(shù)相(xiàng)結合,爲财産險公司提供房(fáng)屋勘測服務,比如(rú)分(fēn)析房(fáng)屋屋頂的構造、材料和狀況。

保險公司可(kě)以接入Cape Analytics的API,利用他(tā)們的圖像和數據,對投保的房(fáng)屋進行快(kuài)速審核,從(cóng)而加快(kuài)核保承保流程,并且提升保險方案定價的準确度。住戶屋頂的太陽能闆、天窗(chuāng)以及煙囪都(dōu)會影(yǐng)響保險公司的定價,而這些數據都(dōu)可(kě)以在Cape Analytics的系統中查到。

Tractable——車險理(lǐ)賠管理(lǐ)

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成立于2012年(nián)的倫敦創業公司Tractable目前獲得(de)了990萬美元的融資,他(tā)們研發的深度學習算法可(kě)以對車險理(lǐ)賠案件(jiàn)的損失進行估算。通過收集和學習成千上萬起車禍理(lǐ)賠案件(jiàn),Tractable的AI系統能夠根據上傳的受損車輛(liàng)照(zhào)片**地判斷出維修費用,跟螞蟻金服此前推出的“定損寶”類似。

Risk Genius——智能比價

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Risk Genius平台由創業團隊ClaimKit于2011年(nián)開發。該團隊的第一款産品名爲Privity,爲客戶提供理(lǐ)賠檔案管理(lǐ)服務。

Risk Genius平台利用機(jī)器學習技術(shù)将來(lái)自(zì)各公司的保險産品進行分(fēn)解對比。傳統的比價網站(zhàn)隻是将同類保險産品列出,由客戶自(zì)行閱讀(dú)選擇。而Risk Genius則能根據客戶預先設定的條件(jiàn),對同類保險産品做出分(fēn)析評價,節省了客戶大(dà)量閱讀(dú)保單條款的時間,提高了客戶的選擇效率。

Shift Technology——杜絕騙保行爲

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成立于2013年(nián)的巴黎創業公司Shift Technology目前獲得(de)了1180萬美元的融資。他(tā)們利用大(dà)數據和機(jī)器學習算法開發了服務于保險公司的騙保欺詐行爲偵測平台。

據估算,在歐洲,騙保行爲給保險公司帶來(lái)的損失大(dà)約占保險公司理(lǐ)賠總支出的10%。如(rú)今,Shift Technology的系統已經處理(lǐ)了超過7800萬起理(lǐ)賠案件(jiàn),并且偵測出了大(dà)量潛在的有騙保嫌疑的案件(jiàn)。據透露,Shift目前的騙保案件(jiàn)偵測準确率達75%,随着AI系統積累越來(lái)越多的數據,其準确率還(hái)将進一步提升。

RightIndem——投保人(rén)的自(zì)助理(lǐ)賠工(gōng)具

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成立于2016年(nián)的英國創業公司RightIndem目前已經獲得(de)了100萬美元的融資。他(tā)們開發的app将理(lǐ)賠流程的主導權交到了客戶的手中,客戶可(kě)以控制理(lǐ)賠的每一個環節。整個理(lǐ)賠流程的效率因此提高,客戶的滿意度也随之提升。

RightIndem的app覆蓋事(shì)故通知(損失評估和損失通知)、核心理(lǐ)賠數據(總損失、修複費用以及智能修複)以及理(lǐ)賠結算(款項支付和破損零部件(jiàn)替換)三個環節。

Lapetus——基于面部識别

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成立于2014年(nián)的美國創業公司Lapetus Solutions利用機(jī)器學習算法來(lái)分(fēn)析理(lǐ)解人(rén)類面部所隐含的健康信息。該公司的平台Chronos通過分(fēn)析用戶的面部照(zhào)片,以及輔以人(rén)工(gōng)統計(jì)數據,可(kě)以爲用戶提供關于身(shēn)體(tǐ)健康信息的預測性分(fēn)析。壽險公司可(kě)以據此對客戶進行更加準确的定價。

(轉載自(zì)搜狐财經) 


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