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人工智能遭遇文档及人员障碍:数字化和流程数字化

发布时间:2020-06-28 12:51:27 所属栏目:传媒 来源:Forbes
导读:人工智能的使用已到了令人惊叹的地步,人工智能在识别、模式和异常检测(https://www.cognilytica.com/2019/07/25/infographic-the-identification-pattern-of-ai/)、预测性分析(https://www.cognilytica.com/2019/08/01/infographic-the-predictive-ana

Once a document has been captured, it can then be further processed and analyzed to extract more value. Post-processing activities involve content analysis and document processing beyond simple scanning and storage, including the following:

捕获文档完成后便可以对其进行进一步处理和分析,获取更多的价值。后处理活动除了简单的扫描和存储外还涉及内容分析和文档处理,包括以下的内容:

* **_Optical character recognition (OCR)_** for recognizing printed text and converting to machine text representation

  • 光学字符识别(OCR)识别打印的文本并将其转换为机器文本形式

* **_Intelligent character recognition (ICR)_** that can handle handwriting, hand marks (such as initials), cross-outs, and free-form information filled out by hand.

  • 智能字符识别(ICR)可以处理手写文字、手写标记(例如名字的首个字母缩写)、删除线和人手填写的自由格式信息。

* **_Optical mark recognition (OMR)_** identifies meaningful text or handwritten indications such as ticked checkboxes, filled in bubbles, and other indicator marks as would be useful in automated grading of exams, handling of surveys, election ballots, and the like.

  • 光学标记识别(OMR)标识出那些有意义的文本或手写指示,例如勾选的复选框、填满的气泡和其他指示标记,这样的标记在自动评分、问卷处理、选举投票里用得上。

* **_Optical barcode recognition (OBR)_** that can identify barcodes, indexing, and other marks for high-rate data collection.

  • 光学条形码识别(OBR)可以识别条形码、索引和其他标记,用于高速率数据收集的实现。

**Digitization vs. Digitalization**

数字化与流程数字化

Digitalization expands upon the idea of digitization by addressing processes that have previously been dependent on non-digital information. Digitalization is focused on capturing processes that have previously been based on non- digital information and encoding them in a digital-centric manner. The below chart shows the differences between digitization, digitalization, and digital transformation.

流程数字化在数字化基础上进一步扩展,主要是解决那些依赖于非数字信息流程的问题。流程数字化的重点放在那些基于非数字信息的流程上并将其进行编码及以数字为中心的方式表达。下图显示了数字化、流程数字化和数字转型之间的区别。

![Digitization vs. Digitalization vs. Digital Transformation](https://specials- images.forbesimg.com/imageserve/5ef2a04ac708900006e39e51/960x0.jpg?fit=scale)

人工智能遭遇文档及人员障碍:数字化和流程数字化

Digitization vs. Digitalization vs. Digital Transformation Cognilytica

数字化、流程数字化及数字转型(图:Cognilytica)

Digitalizing processes allows companies and governments alike to enhance services, save money, and improve citizens’ quality of life. The move to digital signatures in the banking, mortgage, and insurance industries provides a good example of digitalization of processes. The movement to e-filing of tax documents and check-scanning for digital and mobile banking are additional examples of processes that have been digitized through the use of exchange of digital documents.

流程数字化可以令公司和政府增强服务、节省资金及改善公民的生活质量。银行、抵押和保险行业里转向使用数字签名,为流程数字化提供了一个很好的例子。税收文件的电子归档以及数字银行和移动银行的支票扫描等等的发展,都是使用数字文件交换实现流程数字化的例子。

Examples of digitalization include:

流程数字化的例子包括:

* “Capture” of existing human and document-based workflows into computer-based representations of those workflows for later automation or analysis

  • 现有的基于人员和文档的工作流“捕获”转成基于计算机的表示形式的工作流,以后再对其进行自动化或分析

* Automation of existing human-based processes

  • 现有的基于人类流程的自动化

* Process analysis and process management tools that can provide visibility into effectiveness and efficiency of workflow steps

  • 流程分析和流程管理工具可提供工作流程步骤的有效性和效率可视性

* Applying advanced analytics and value-add technologies to multi-step document-based interactions

  • 用在基于文档的多步骤交互里的高级分析和增值技术

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