Title | Bank Financial Innovation and Computer Information Security Management Based on Artificial Intelligence |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Hu, Xiaoyi, Wang, Ke |
Conference Name | 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) |
Keywords | artificial intelligence, artificial intelligence security, Bank financial innovation, Big Data, composability, computer security, Human Behavior, Information security, information security management, Metrics, pubcrawl, resilience, Resiliency, standardization, Technological innovation, Training |
Abstract | In recent years, with the continuous development of various new Internet technologies, big data, cloud computing and other technologies have been widely used in work and life. The further improvement of data scale and computing capability has promoted the breakthrough development of artificial intelligence technology. The generalization and classification of financial science and technology not only have a certain impact on the traditional financial business, but also put forward higher requirements for commercial banks to operate financial science and technology business. Artificial intelligence brings fresh experience to financial services and is conducive to increasing customer stickiness. Artificial intelligence technology helps the standardization, modeling and intelligence of banking business, and helps credit decision-making, risk early warning and supervision. This paper first discusses the influence of artificial intelligence on financial innovation, and on this basis puts forward measures for the innovation and development of bank financial science and technology. Finally, it discusses the problem of computer information security management in bank financial innovation in the era of artificial intelligence. |
DOI | 10.1109/MLBDBI51377.2020.00120 |
Citation Key | hu_bank_2020 |