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INMOMENT:人工智能合规白皮书(英文版)(14页).pdf

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1、InMoment White PaperInMoment White PaperA Better Approach to AI for Regulatory ComplianceCopyright 2022 InMoment,Inc.All rights reserved.Eric Smuda,Principal,CX Strategy&EnablementPAGE 02 A Better Approach to AI for Regulatory ComplianceCompanies with regulatory compliance burdens are flocking to ar

2、tificial intelligence(AI)for time-savings and cost reductions.The money involved is staggering:In 2021,Healthcare AI funding reached$8.5 billion across 366 deals at an average of$30 million each.1 The reasons for these investments?AI can deliver the global healthcare systems and services up to$906 b

3、illion of value annually,2 and AI could deliver the global banking industry up to$1 trillion additional value annually.3 And PwC predicts that AI could contribute$15.7 trillion4 to the global economy.But these big numbers dont eliminate the fact that every month brings new articles and think-pieces

4、about bursting the AI hype bubble.So,before you pay too much attention to those types of articles,let us tell you how our thoughts and experiences warrant a much better approach to AI for regulatory compliance.PAGE 03 AI for Compliance Requires More Than AINATURAL LANGUAGE PROCESSINGSEMI-STRUCTURED

5、DATA PARSINGMACHINE LEARNING AND AIThe truth is that“artificial intelligence”is just a tool.It doesnt really“do”anything on its own.What matters is how you combine AI with other technologies and the experts that know your business.In a field like regulatory compliance,for example,the challenges invo

6、lved can vary wildly by industry and country.So,in order to address these problems,you need a combination of three technologies and human expertise:The complex structure of regulatory and legal documents means that each of these technologies will fall short if its not supported by the other two and

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本文主要讨论了如何更好地利用人工智能(AI)进行监管合规。文章指出,虽然AI在医疗保健、银行等行业中具有巨大的价值和潜力,但许多所谓的“AI合规解决方案”由于只使用了AI技术中的一个或两个方面(如自然语言处理、半结构化数据解析、机器学习和AI)而无法完全解决问题。 文章强调,为了构建有效的AI合规解决方案,需要结合使用半结构化数据解析、自然语言处理、机器学习和AI技术。例如,在医疗编码中,这些技术可以被用来帮助人类编码员更快、更准确地处理每月更新的医疗补助计划信息。在金融服务业中,这些技术可以被用来帮助审计员快速分析长篇财务文件,确保所有必要的披露信息都已包含。 总的来说,文章认为,虽然AI技术在监管合规领域具有巨大潜力,但只有当它与半结构化数据解析、自然语言处理、机器学习和AI技术相结合时,才能真正发挥作用。
为什么仅使用AI技术无法满足监管合规需求? 如何构建有效的AI解决方案以帮助医疗编码团队? AI如何帮助金融服务公司提高披露合规性?
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