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数字化转型始于采集:将纸质数据转化为人工智能数据.pdf

上传人: Seven****onds 编号:709649 2025-05-17 41页 8.07MB

1、Session Title:Digital Transformation Starts at Capture:Converting Paper into AI-Ready DataSession Description:Forward-thinking organizations recognize the untapped potential within their paper archives-both as valuable training data for AI and as a way to reduce physical storage costs.Yet the key to

2、 unlocking this value lies in getting data right from the start.This session reveals how intelligent capture workflows not only prevent costly downstream errors but transform decades of business information into AI-ready digital assets.By streamlining your capture workflow,you can validate data accu

3、racy at the point of entry,eliminating expensive cleanup efforts while boosting productivity across your organization.Through practical examples,well explore proven capture solutions that address common business challenges like invoice processing,customer onboarding,and compliance documentation.By t

4、he end of this session,youll have actionable strategies to harness the hidden value in your paper archives and build a capture foundation that delivers the clean,reliable data your AI initiatives need to succeed.1Digital Transformation Starts at CaptureConverting Paper into AI-Ready DataApril 20243P

5、oll Question:What industry segment are you from?FinancialHealthcareGovernment(FED,ST,or Local)OtherManufacturingEducation4The Promise of the FutureRequires Data(Accurate Data!)Best Practices for Data HygieneCapture your data with the correct equipment&settingsIdentify and remove redundant data from

6、file archivesClassify&index your dataImplement metadata for access rightsChain of custody Who,Where,&When,and HowDocument Relevance/RankingAnonymize/Redact Sensitive InformationPoll Question:Is your company or organization storing paper records?No,were 100%DigitalYes,were storing them off-siteYes,we

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本文主要探讨了如何将纸质档案转化为AI可用的数据,并强调了从最初的数据获取阶段开始就确保数据质量的重要性。文章指出,智能捕获工作流程不仅可以避免昂贵的下游错误,还能将多年的业务信息转化为AI适用的数字资产。通过精简捕获工作流程,可以在数据录入阶段就验证准确性,从而消除昂贵的清理工作并提高整个组织的生产力。文中通过实际案例探讨了解决常见业务挑战(如发票处理、客户开户和合规文件)的成熟捕获解决方案。此外,文章还提到了数据存储的成本问题,以及快速准确地找到数据的重要性,并指出未使用和未结构化的数据可能是一个组织潜在的价值或风险。文章强调了在数据摄取点识别和纠正错误的重要性,以及自动化工具如智能OCR和RPA在提高效率和减少人为错误中的作用。最后,文章提到了保护机密信息的需求,并展示了如何通过云传真、直接应用集成和流线化捕获工作流程来减少手动处理。
如何将纸质档案转化为AI可用数据? 如何避免因数据错误导致的下游成本? 如何优化扫描和工作流程以提高效率?
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