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大数据、人工智能与财税服务创新 被引量:16

Big Data,Artificial Intelligence and Innovation of Fiscal and Taxation Service
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摘要 传统的财税工作模式呈现出重复、繁杂、低效,耗费大量的时间与人力的特点。基于大数据、人工智能的智能财税服务,实现了票据自动识别、语义解析、自动记账、机器审核、自动对账甚至一键报税等财税新模式。财税领域的大数据平台与财税智能机器人,根据具体规则,持续、高效地运作,操作简单,极大地提升财税工作的效率,降低人为失误。介绍了大数据、人工智能在财税实务领域创新的初步成果,依次论述了大数据技术,人工智能,财务领域大数据平台,财税智能机器人,大数据、人工智能在财税领域的关键技术问题。其中,财税智能机器人具体包括:费用稽核机器人、应收应付机器人、行政事业单位核算机器人、合同比对机器人、纳税服务机器人。关键技术包括:票据识别技术,语义识别技术,自动记账,一键报税。以达到对大数据、人工智能对财税领域的创新有全面而深刻认识的目的。 The traditional work mode of fiscal and taxation service manifests the characteristic of repeatability, complexity, inefficiency, time consuming and manpower consuming. Based on big data, the artificial intelligence fiscal and taxation service has implemented the new work patterns which contain invoice recognition automation, semantics analytic, bookkeeping automation, robot approval examine and verify, automatically reconciliation, even one key tax declaration and so on. According to concrete regulation, the big data platform and intelligent robots of fiscal and taxation service demonstrate that they can operate persistently, efficiently and easily, which can greatly improve efficiency and reduce man-made faults. In this paper, we introduce the preliminary achievement of artificial intelligence fiscal and taxation service. Most important, we successively describe the big data technology, artificial intelligence, finance big data platform, fiscal and taxation service intelligent robots and critical technical issues. Among which, the fiscal and taxation service intelligent robots consist of expenses approval examine and verify robot, receivables and payables robot, administrative institution accounting robot, contract alignment robot, taxation service robot. The critical technical issues consist of invoice recognition automation technology, semantics analytic technology, bookkeeping automation technology, one key tax declaration technology.
作者 周俊亭 席彦群 周媛媛 邱涛 翁安栋 ZHOU Jun-ting;XI Yan-qun;ZHOU Yuan-yuan;QIU Tao;WENG An-dong(School of Management,Xiamen University,Xiamen 361005,China;School of Business,Anhui University of Technology,Ma anshan 243032,China;Onlyou.com Company Limited,Xiamen 361008,China)
出处 《中国软科学》 CSSCI CSCD 北大核心 2020年第8期69-77,共9页 China Soft Science
基金 安徽省自然科学基金青年项目“基于产业链连锁反应的企业并购整合策略研究”(1408085QG138)。
关键词 大数据 人工智能 财税服务 云平台 智能机器人 big data artificial intelligence fiscal and taxation service cloud platform intelligent robots
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