On November 6, at the JDD-2017 Jingdong Financial Global Data Explorer Conference (hereinafter referred to as Jingdong Financial Conference), Liu Qiangdong, Chairman and CEO of JD.com, also said that artificial intelligence is both a technology and a Way of thinking.
In view of the future development of AI technology and the impact that AI development will have on the financial industry and human life, at this conference, all walks of life Caida hit the spark of thinking from different perspectives of technology, application, commercial integration and entrepreneurship.
'Finance is the best application of AI industry'
In the continuous development of innovative technologies such as artificial intelligence, deep learning and machine algorithms, science and technology are constantly penetrating into people's lives. Yang Qiang, chairman of the International Federation of Artificial Intelligence Societies, believes that 'the financial sector is the most important for technological innovation and commercial application One of the areas of fit.
Shen Nanpeng, Sequoia Capital's global executive partner, also said at the Jingdong Financial Conference that 'the financial industry is the best place for artificial intelligence to be applied.'
The industry is widely recognized, BATJ and other mutual giants have made efforts artificial intelligence.
Recently, Baidu released third quarter results for 2017. Baidu Chairman and CEO Robin Li said that in promoting the AI strategy, the company continued to focus on building an open platform for smart devices and autonomous driving and promoted the AI's application in vertical fields such as financial services.
Liu Qiang Dong said Jingdong Finance from the first day of its establishment, the technology as the core technology in fact is based on AI.
Prior to this, Jingdong Financial said to CBN reporter that in the direction of finance and science and technology, banks, securities, insurance companies and fund companies will all be the targets of their cooperation. The large number of banks in China and their fragmentation are the focuses of their cooperation.
Liu Qiangdong mentioned that in cooperation with financial institutions such as banks, Jingdong Finance helped banks improve the efficiency of credit checks by more than 10 times and the cost of passenger orders by more than 70%.
In terms of external output and services, Jingdong Financial said that it offers differentiated services based on the size, capabilities and demands of its partners. The first is technology integration such as blockchain technology, AI technology, face recognition, etc. Is the scene of the integration of the third is the business ecosystem of cooperation, such as big data-driven online model based on intelligent investment management product management model, etc. In the process, for financial institutions to provide services to improve efficiency and reduce costs.
At the conference, JD Finance released the world's first enterprise service cloud platform that provides FaaS (Financial Technology as a Service).
As early as June 14 this year, Ant Financial announced for the first time to open the latest AI technology to financial institutions.At the beginning of the year, CEO Kim Hyun Jung said that the use of gold, 'Techfin' rather than 'Fintech (financial Technology) 'to define ant clothes. Compared with Fintech, Techfin is using technology and data capabilities to help finance, serve ordinary consumers and ordinary merchants, and enhance the risk management capabilities of financial institutions so that they can be fully upgraded.
October 17, Tencent also released news that Peking University - Shenzhen Tencent Computer Systems Co., Ltd. collaborative innovation laboratory in Beijing officially unveiled the two sides will work together in the field of artificial intelligence, big data and other emerging scientific research and talent exploration to cultivate.
The current AI technology in the process of continuous iteration, the application of the financial sector is still in its infancy.In addition to BATJ, iFLYTEK and other giants, the traditional financial institutions such as China Merchants Bank are also research and development and application.
Reconstruction of finance
The development of artificial intelligence and big data have played a very powerful role in financial business, including marketing, product design and risk control, cost reduction, efficiency enhancement, and service radius expansion, and even subverted the traditional financial industry.
From the credit card industry point of view, although the current application based on AI technology and big data is still in its infancy, but there are some achievements.Wong Weidong, general manager of Bank of Communications Credit Card Center, said Bank of Communications in the first half launched a mobile credit card business, It takes a week to send a credit card to a few seconds or a few minutes.
Yang Bibing, general manager of Everbright Bank's e-banking department at the Second Annual Conference of Digital Finance Center of Peking University, said the earliest application of artificial intelligence in the banking business is smart customer service.He introduced in the introduction of smart customer service, the recent three Annual Everbright Bank calls the traffic volume of 10% growth, but did not increase a customer service.
Financial science and technology also spawned new regulatory issues at the same time. Zhu Min, dean of the National Institute of Finance at Tsinghua University, said: 'There are potential risks in financial technology, data privacy issues, ultimate accountability and management of loans, digital currency development Problems and regulatory issues that will constantly change and impact the development of financial institutions, especially science and technology financial institutions, now and in the future.
At this Jingdong Financial Conference, Lu Shuchun, secretary general of China Internet Finance Association, said that with the advent of big data technology, cloud computing, and the challenge of developing cross-border financial services by Internet companies, several changes have taken place in financial institutions.
The first change is the scene of financial services and platform is aggravating, through the platform to improve services, but also through the scene to obtain data for the financial business development and risk control, and precision marketing to prepare; Second, the risk control measures Diversification and big data have become a very important supporting measure for financial institutions in risk control. Thirdly, the diversification of services includes smart money management, smart investment, investment consulting and quantitative trading. In addition, from a regulatory point of view, Data also contribute to real-time monitoring of risk monitoring, helping to alert risk.
She also said that as big data technologies evolve and become more standardized, financial services will be more equitable in the next 10 years, access to financial services will be accessible to all, financial services will be more accurate and access to suitable financial services will be available to everyone, Financial services will also be more transparent and everyone will be well aware of the benefits and risks of the financial services they receive, with more symmetrical information and a better experience.