信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2019, Vol. 45 ›› Issue (9): 39-41.

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金融行业数字化转型的现状、挑战与建议

Current situation, challenges and suggestion of digital transformation in financial industry

  

  • 出版日期:2019-09-15 发布日期:2020-11-24
  • 作者简介:
    张巾:中国信息通信研究院政策与经济研究所政策研究部工程师

  • Online:2019-09-15 Published:2020-11-24

摘要: 近年来,金融行业加速推进数字化转型进程,银行、保险、证券等各个细分领域的数字化转型均取得了一定成效。通过互联网、大数据、人工智能、区块链等技术的广泛深入应用,银行业风控体系更加完善、业务流程得到优化、产品供给更能满足个性需求,保险业实现了精准营销、高效核保、智能理赔等,证券业促进了服务精细化、客户体验优化以及风控水平提升。但不可忽视的是,金融行业的数字化转型还面临数据资源价值未能充分释放、数字化转型人才支撑不足、金融安全面临新挑战等诸多问题,为更加深入地推进数字化转型带来了障碍。要解决金融业数字化转型面临的问题与挑战,需政府部门、行业组织、金融机构以及科技企业多方发力,共同推动金融行业数字化迈向纵深。

关键词: 金融, 数字化转型, 互联网, 大数据, 人工智能

Abstract: In recent years, the financial industry has accelerated the process of digital transformation, and the digital transformation of various sub-sectors such as banking, insurance, and securities has achieved certain results. Through extensive and in-depth application of technologies such as the Internet, big data, artificial intelligence, and block chain, the banking industry's risk control system is more perfect, business processes are optimized, and product supply can better meet individual needs. The insurance industry has achieved precise marketing, efficient underwriting, intelligent claims, etc.. The securities industry has promoted service refinement, optimized customer experience and improved the level of risk control. However, it cannot be ignored that the digital transformation of the financial industry also faces many problems such as the insufficient release of data resources, insufficient support for digital transformation talents, and new challenges to financial security, which have created obstacles for further deepening digital transformation. To solve the problems and challenges faced by the digital transformation of the financial industry, it is necessary for government departments, industry organizations, financial institutions, and technology companies toworktogether to promote the digitization of the financial industry.

Key words: finance, digital transformation, Internet, big data, artificial intelligence