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任何文档任何语言:使用 OCI 文档理解功能即时处理 [SHO3081].pdf

上传人: Fl****zo 编号:970950 2025-11-08 28页 2.24MB

1、 SHO3081 Any Document,Any Language:Process Quickly with OCI Document UnderstandingPresentersYassine Benajiba,Sr.Director of Applied ScienceGuy Fogel,Senior Principal Product ManagerForward-Looking statementsThis presentation is intended to outline our general product direction.It is intended for inf

2、ormation purposes only,and may not be incorporated into any contract.It is not a commitment to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The development,release,timing,and pricing of any features or functionality described for Oracles pro

3、ducts may change and remains at the sole discretion of Oracle Corporation.Statements in this presentation relating to Oracles future plans,expectations,beliefs,intentions,and prospects are“forward-looking statements”and are subject to material risks and uncertainties.A detailed discussion of these f

4、actors and other risks that affect our business is contained in Oracles Securities and Exchange Commission(SEC)filings,including our most recent reports on Form 10-K and Form 10-Q under the heading“Risk Factors.”These filings are available on the SECs website or on Oracles website at https:/ informa

5、tion in this presentation is current as of October 2025 and Oracle undertakes no duty to update any statement in light of new information or future events.Some regulatory certifications or registrations to products or services referenced herein are held by Cerner Corporation.Cerner Corporation is a

6、wholly owned subsidiary of Oracle.Cerner Corporation is an ONC-certified health IT developer and a registered medical device manufacturer in the United States and other jurisdictions worldwide.2Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly RestrictedYour Present

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根据报告的内容,全文主要内容概括如下: - **企业文档处理挑战**:企业处理大量纸质文档,每年约3000亿份,手动处理浪费1500亿美元,错误率高达30-40%。 - **文档理解的重要性**:文档理解是AI时代企业的大机遇,约95%的企业知识存储在纸质文档中。 - **现有解决方案的局限性**:现有解决方案在处理复杂布局、缺乏领域上下文和模型幻觉方面存在挑战。 - **生成式提取的突破**:Oracle Document Understanding Service (DUS) 的生成式提取功能无需数据标注或模型训练,提供灵活性和高精度。 - **性能提升**:与现有模型相比,生成式提取在准确率上提高了5-10%。 - **Oracle DUS演示**:在100张发票挑战中,Oracle DUS的准确率从62.5%提升到90.71%。 - **愿景与路线图**:Oracle致力于使企业能够从任何文档、任何格式、任何语言、任何规模中即时提取洞察,无需机器学习专业知识。
"AI时代,企业如何高效处理文档?" "无模板文档理解,突破企业难题!" "一键提取,AI助力企业降本增效!"
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