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If Xiaomi goes public, will it enter the ranks of BATJ?
From the cooperation content, Ali and CCB should promote the online credit card opening business of CCB, as well as the online and offline channel business cooperation and electronic payment business cooperation, and open up the credit system. In the future, the two parties will also realize mutual recognition and mutual scanning of QR code payment, and Alipay will support the mobile banking APP payment of CCB. ICBC and JD.COM will carry out comprehensive and in-depth cooperation in the fields of financial technology, retail banking, consumer finance, corporate credit, campus ecology, asset management and individual joint accounts. China Agricultural Bank and Baidu will jointly build a "Joint Laboratory of Financial Technology". At present, the cooperation between the two parties mainly focuses on credit business, wealth management business, customer portrait based on big data analysis and mining, precision marketing, customer credit evaluation, risk monitoring, intelligent customer service, intelligent investment and so on. In the future, the two sides will also cooperate and explore in asset securitization, virtual currency and industrial internet finance. Bank of China and Tencent announced the establishment of a joint financial technology laboratory, which will focus on in-depth cooperation in the fields of cloud computing, big data, blockchain and artificial intelligence, and build inclusive finance, cloud finance, smart finance and technology and finance.
On the whole, the scope of cooperation announced by all parties is relatively large and comprehensive, and there is no specific direction. Comparatively speaking, it is more pragmatic for ABC and BOC to cooperate with Baidu and Tencent to set up a joint laboratory. After all, only by putting the coders and architects of both sides together can we have normal communication, otherwise the leaders will be laughing and laughing on the stage, and the people below will only be in a hurry, and in the end they will not even be able to pick up a chicken feather that can only make trouble.
In the era when individual users are paid by WeChat and completely hijacked by Alipay, the banking industry is undoubtedly very anxious. The general trend is clear-if the internet giants continue to monopolize, the future of banks will be today's communication operators, only as infrastructure, and the function of serving customers will be completely degraded. In 20 15, when China Industrial and Commercial Bank held the Internet strategy conference, a series of products such as giant screen ppt and casual wear were released through the Internet. The audience thought they were in the wrong lecture hall, which was really refreshing. However, after trying the APP, I feel mixed, and the user experience is not as good as any p2p financial management software that has been online for three months. Like ICBC's e-commerce platform, a series of apps released by ICBC are about to develop in the direction of no presence.
The financial technology we talk about every day is actually still at the stage of "technology". In financial institutions with a large number of employees, numerous branches and strict hierarchical management, it is conceivable that "marginalized" science and technology departments and data centers will drive products and drive transformation. If you look at the news in the past few years, this is not the first time that a bank has cooperated with BATJ. I hope to make progress every time. Every time cooperation comes, it seems that innovation is imminent, and even it is necessary to cross the rubicon and make a final attempt. If we must look forward to this hug, we hope that the traditional financial giants represented by the four major behaviors will do these things well:
The first is to make the user experience work. R&D shopping centers with thousands of people should make mobile phone applications and related products more "Internet-based". Giving this responsibility to the cooperative laboratory is as easy as blowing off dust. The effect to be achieved is that these apps no longer exist just for existence. They are lying at the bottom of the list with 2-3 star reviews. There are real customer reviews on the list, which can really solve the problems that Alipay can't solve, at least the products of second-tier Internet companies or star startups.
The second is to bring the data to life and find a replicable value model. The value of data should start from the motivation of the Internet to actively cooperate with banks. The judgment of Internet data on the value of users is mostly low-it is difficult for us to judge which credit rating is higher, a person who forwards jokes in a circle of friends every day or a person who forwards chicken soup in a circle of friends every day. Banks are different. Most directly, the running water and consumption records of an account are the core information of the credit rating of the head of household. And this is just the tip of the iceberg of the massive data that banks have. Why can't banks do it at present? Because although most banks have set up data centers or data management departments, their tools are mostly ready-made systems such as SAS, lacking self-developed AI or data mining tools, and have no motivation to delve into this matter. Banks' mainstream understanding of it is still at the stage of IT, technology, service and operation and maintenance. They have engineers, CIOs and even CDOs, but they don't have the role of "data scientists". On the contrary, the research institutes of top internet companies are familiar with similar things, which is a shortcoming that banks have to make up.
The third is to drive financial technology innovation. This is not for pure innovation. Are financial institutions necessarily stupid? Obviously not, it's just the wrong way, and now it's correct. A good example is a news about Ping An Technology. Original text: On May 9, the latest test results published by the international authoritative face recognition database LFW showed that the face recognition technology of Ping An Technology, a subsidiary of Ping An Group, was ahead of well-known companies at home and abroad with 99.8% recognition accuracy and the lowest fluctuation range, ranking first in the world. This accuracy is the best achievement announced by LFW, and it is also a milestone achievement achieved by Ping An Technology Artificial Intelligence Laboratory. What is the innovation drive? It is at the IJCAI and AAAI conferences of artificial intelligence in the future, and at the SIGKDD and ICDM conferences of data mining that we see not only Microsoft and ibm, but also ICBC and China Merchants Bank. This is not difficult, I believe it will be very popular with the academic community, and its value will be far-reaching.
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