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新加坡国家监管 利用人工智能打击汽车索赔欺诈.pdf

上传人: a****d 编号:402722 2025-01-10 18页 1.67MB

1、Confidential.Fermion 2024.All rights reserved.Combating Motor Claims Fraud with AI&a Relentless Focus on DATASebastian Tan,Singapore Country Director9,000+Franchise Dealers&Repairers1,000+Loss Adjusters,Lawyers24,000+Agents,BrokersAbout MerimenRegional PartnersCustomer BaseOver 20 Years of Expertise

2、 across 10 countriesAsias leading Claims Technology provider150+InsurersDigitize&Automate 2 Million claims a yearProblem:Fraudulent Motor Claims costing losses&livesSource:General Insurance Association of Singapore https:/gia.org.sg/images/resources/For-Consumers-PDF-file/CASE-2018-motorfraud.pdfAlm

3、ost 20%of motor claims in SG are fraudulentSeverely affects loss ratios,contributes to rising premiumsStaged accidents harm lives-drivers/passengers/pedestriansCrash Course on Motor Claim FraudAccident is fakeAccident is real,but Damage is fake Accident is real,damage is real,but Passengers are fake

4、 Accident,damage,passengers are real,but Claimant is fake Solution:How Tech&AI can help combat FraudAs-IsTo-Be1.Automated Checks2.Assisted by AI3.Machine-readable Data databases,doc metadata,Internet,IoT,etc1.Manual Checks2.Staff Expertise3.Human-readable Data documents,interviews,Internet searchSus

5、picious ClaimsSend to SIUAll Incoming CasesFirst Challenge:Your Process&Data looks like thisInsurersRepairersCustomersLoss AdjustersPRIVACYPROFITSREPLACED BY AIALL OF THE ABOVESecond Challenge:No One will share Data(and neither will you)LawyersCase Study:Failed Pilots for AI Fraud in SE Asia2017 202

6、4:Over 10 failed insurer pilots by leading AI providers from US/EuropeKey Reasons reported by users:1.AI only ran basic checks on limited data,no Industry Data checks or Image analysis etc2.Overly high False Positive rate due to inaccurate/un-localized AI model3.Standalone portal not integrated to c

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本文主要介绍了Fermion公司如何利用人工智能(AI)技术打击摩托车保险欺诈行为。据新加坡保险协会数据显示,新加坡近20%的摩托车保险索赔是欺诈性的,这不仅导致经济损失,还危害生命安全。Fermion公司通过数字化和自动化索赔流程,整合生态系统数据,运用机器学习模型进行欺诈检测,从而提高理赔效率,降低损失比率。文章指出,成功的AI解决方案需要优先考虑流程优化,然后是数据整合,最后是技术实施。同时,为了实现数据共享和系统集成,保险公司需要与整个生态系统中的各方建立共赢的合作关系。通过这些方法,Fermion公司的AI策略已经帮助保险公司识别并拒绝了大量的可疑索赔,显著提升了理赔效率并减少了欺诈损失。
如何有效打击汽车理赔欺诈行为? AI技术在汽车理赔中的应用前景如何? 如何通过数字化转型优化汽车理赔流程?
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