From simple data storage to reconstruct the business process, from the vast amounts of computing to another decision support, in the 2022 world conference on artificial intelligence "AI cohesion financial digital" on the BBS, the guests mentioned, artificial intelligence to the influence of financial institutions have started by the "table" and the "inside", is likely to become subvert back and source change. So, the future of financial institutions and artificial intelligence collision out of what kind of spark? What form does it take? What will become of financial institutions in the metaverse?

Data archiving is just "information," and "digitization" means thinking about the business in terms of data.​

In recent years, the traditional working mode of banks and other financial institutions has begun to change. Xie Minqi, vice president of Shanghai Bingjian Information Technology Co., gave an example. "A few years ago, when a customer applied for a loan from a bank, how did the bank check whether he was capable of paying it back 39bet-xì dách-phỏm miền bắc-tiến lên miền bắc-xóc đĩa-game bắn cá? First, you can look at his fixed assets; ​second, go to his workplace or store to see his income; ​he might even go round to his neighbours to see what kind of person he is and whether he is' good, '" he says. Now, to cut costs and improve efficiency, these tests are going online, forcing banks to revamp their processes and go digital.

It is worth noting that Xie Minqi remembered that most financial institutions now so-called "digital" are not really digital, but "information". He further explained that if a financial institution does not break its original workflow, but records and archives the data from those processes, it is simply "information". "Digitization" requires that after having these data, we should think about the business from the perspective of data and how to use data to better promote business transformation.

d51ce0644d6a4f3b4a0b93cd80d55ef3Jiang Changjun, an academician at the Chinese Academy of Engineering, said financial enterprises need to innovate from the source if they want to truly achieve digital transformation. For example, to deal with online fraud, financial enterprises can use big data technology to develop transaction fraud detection methods based on deep learning analysis models and online financial transaction detection technology, so as to enhance the security and stability of financial transactions.

Regarding the new characteristics of fintech integration and the dimensions to be adhered to in the subsequent development, Liu Xinyi, president of Shanghai International Group, mentioned that financial digitization shows that digital practice has deeply penetrated into almost all financial fields. In the context of a new round of scientific and technological revolution and industrial transformation, to achieve high-quality digital transformation, the financial industry needs to expand the breadth of financial services, strengthen digital technology research, promote financial digital standards, and consolidate the security protection of data resources.

Eight key technologies will shape the future of financial institutions

What will the financial institutions of the future look like? Qu Xiangjun, McKinsey's global senior managing partner and head of financial institutions practice in China, believes that financial institutions in the future will become one of the important infrastructure of society, just like electricity and energy. With the help of AI, financial institutions will become a service that knows them better than their customers, "because financial services will be embedded in a variety of scenarios derived from AI's portrait of users and life-cycle forecasts".

Qu specifically proposed eight technologies that will reshape the shape of financial institutions in the future: artificial intelligence, hyper-automation, blockchain, Internet of Things, cloud computing, open source, SaaS and no service architecture, no code development platform, and the metaverse. ​First, the financial institutions profit example explains the effects of AI, "even the most experienced investors will experience personal preferences and restrictions, affect the investment decisions, in the asset management companies and investment banks, the use of artificial intelligence investment adviser to rectify the investment behavior, helps investors make more wise decisions". In addition, ultra-automation technology will greatly improve the efficiency of huge computing of financial institutions, blockchain and Internet of things technology will make contributions to the security of financial institutions, cloud computing can help small and medium-sized enterprises more easily use advanced technology, innovation...

"Access to the metaverse will usher in new development opportunities for financial institutions." "Qu Xiangjun said. In his opinion, the transaction mode in the virtual world will completely change the existing customer experience. Users can enjoy a variety of financial services without time and space restrictions. Such a high degree of interaction is expected to improve users' stickiness and loyalty to financial institutions.

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