Agricultural Bank of China released the 2021 Financial Technology Innovation Report to introduce its progress and planning in a panoramic manner

Mobile payment network news , recently, the Agricultural Bank of China released the "Agricultural Bank of China Financial Technology Innovation Annual Report (2021)" (hereinafter referred to as the "report").

In the report, the Agricultural Bank of China emphasized that 2021 is the first year of the "comprehensive reconstruction phase" of its digital transformation strategy. Bank-level fintech innovation report.

Through the report, the Agricultural Bank of China introduced its progress in the application of innovative technologies, as well as the development layout of various technical supports, and put forward its vision for the future development of financial technology.

According to the introduction of the Agricultural Bank of China, it has initially established an innovative technology system based on emerging information technologies such as big data, artificial intelligence, mobile Internet, cloud computing, Internet of Things, blockchain, and virtualization. In 2021, it will carry out a number of researches and explorations and pilot applications of new technologies in terms of business application and technological support, and use technological innovation to lead business development.

In terms of business applications, the Agricultural Bank of China has made breakthroughs in five areas: 5G messaging, VR/AR technology, privacy computing, satellite remote sensing, and edge computing.

In 2021, the Agricultural Bank of China will officially launch the 5G message application pilot project, and has completed the basic capabilities of the 5G message self-research platform to expand customer channels. At the entrance of the SMS channel, customers can handle balance inquiry, credit card activation, receiving new customer gifts, discount discovery and other services, and can complete the whole process of business processing such as discovery and interaction by clicking the card.

Agricultural Bank of China introduced AR (Augmented Reality) technology in "Marketing Treasure". Account managers can use the AR scanning function of Marketing Treasure to scan a specific identification map, and then they can interact with the virtual customer service that appears on the mobile phone screen, improving customer experience and marketing capabilities. In the future, the Agricultural Bank of China will devote itself to the construction of VR/AR platform to realize metaverse economic forms such as mortgage of off-chain assets, on-chain of existing assets, and creation of digital collectibles, as well as applications such as virtual outlets, smart services, and Xingnong e-commerce.

Privacy computing technology is applied to pilot applications in business fields such as marketing and risk control. In the special governance of telecommunications fraud, based on federated learning technology, a risk monitoring model for telecommunications network fraud accounts was constructed; in cross-border credit management, based on multi-party secure computing technology, real-time credit general ledger services were realized in domestic and foreign branches. In the future, the Agricultural Bank of China will strengthen data cooperation with the government, credit agencies, and subsidiaries, and gradually promote the business application of privacy computing in the fields of risk control and marketing.

Satellite remote sensing is mainly used in the field of farmer credit. The Agricultural Bank of China will realize the application of satellite remote sensing technology in 2021, and apply it to the establishment of farmer information files and special credit granting. It has been piloted and promoted in many branches. In the future, the Agricultural Bank of China will introduce more external high-quality image data, build a remote sensing intelligent analysis platform, and carry out three-dimensional risk management and control in all aspects of pre-loan, loan, and post-loan from the perspective of space and time; Explore more application scenarios of satellite remote sensing technology in other fields, and strengthen the analysis ability of satellite remote sensing data through self-research or procurement mode.

Edge computing is mainly used to meet the needs of industry digitalization in terms of agile connection, real-time business, application intelligence, security and privacy protection. In October 2021, the Agricultural Bank of China will realize the smart outlet scenario based on edge computing, using existing security cameras, introducing edge computing and artificial intelligence technology to conduct video recognition and analysis of outlets and vaults, and improve the level of smart management of outlets and vaults. At present, the Agricultural Bank of China applies edge computing to over-the-counter valet operations, No. 1 vacancy, special customer care, treasury violations, and treasury staff fraud from four aspects: smart risk control, smart management, smart service, and smart treasury. More than 10 application scene functions such as job rotation. In the future, we will continue to explore the application scenarios of edge computing in the fields of marketing, security, smart outlets, internal control and compliance, and treasury management.

In terms of technological support, the Agricultural Bank of China has tried to use new technologies to enhance financial technology capabilities in five areas: cloud native, stream-batch integration, low-code development, chaos engineering, and AIOps. In terms of cloud native, a new type of PaaS cloud is introduced, and more applications are promoted to go to the cloud to strengthen the underlying support; stream-batch integrated computing is implemented on the "Beacon Platform" for the first time, saving development and operation and maintenance costs, and the application range of real-time computing is more abundant; Low-code development, chaos engineering, and AIOps enable the three important system development links of development, testing, and operation and maintenance through a series of pilot work such as new tool development and new platform construction. The technology line can respond to business needs faster.

In core technology fields such as big data, artificial intelligence, cloud computing, Internet of Things, and blockchain, ABC has formed platform-based innovative technology capabilities.

Among them, artificial intelligence refers to the use of machines to simulate human cognition and thinking processes. ABC has formed AI technical capabilities to support and lead business in two dimensions of perceptual intelligence and cognitive intelligence.

Perceptual intelligence technology represented by biometrics (face, fingerprint, voice, etc.) has been applied in many business fields such as Internet finance, operations, customer service, and risk control. The core is to use smart devices equipped with sensors to assist banks to intuitively perceive The characteristics and changes of customers and the environment, and integrate the perceived results into the business process.

Voiceprint recognition is used in mobile banking, telephone banking, customer service and other fields. The voiceprint feature recognition platform of the Agricultural Bank of China is in the construction stage. In 2021, the Agricultural Bank of China will complete the data security and information management related technical solutions of the voiceprint platform.

Micro-expression recognition can be used in financial scenarios such as customer satisfaction evaluation, customer service and product marketing, and remote credit face-to-face risk control. The practice of Agricultural Bank of China includes: online credit interview, using online video interview, with the help of micro-expression recognition technology, it can analyze the emotional changes and basic facial expressions of customers when answering key questions in real time, provide risk judgment, and combine big data analysis Divide business risk levels; in internal operation management, take counter service or video customer service as an example, realize counter satisfaction or video customer satisfaction survey through micro-expression technology; in product precision marketing, use micro-expression technology to dynamically perceive customer emotional changes , identify customers' interest and psychological emotions in marketing products such as wealth management and funds, and recommend products in a targeted manner.

At present, the technical focus of AI is gradually shifting from perceptual intelligence to cognitive intelligence. Cognitive intelligence aims to endow machines with capabilities such as data understanding, knowledge expression, logical reasoning, and autonomous learning. Cognitive intelligence technologies that are widely used in the banking industry include intelligent recommendation, knowledge graph, and natural language processing.

In 2021, the Agricultural Bank of China will complete the construction of the RPA operation management platform. In the scene of RPA intelligent registration of public accounts, RPA technology is used to break through the data interaction barriers between the internal system and the pedestrian system, replacing manual and automatic business operations; in the scene of credit card applicant information identification, using RPA+OCR technology, Automatically complete the quality inspection of credit card materials at the head office, and assist in the review and approval of business; as of October 2021, RPA technology has been implemented in credit card, financial accounting, regulatory submission, operation management, human resources, investment and wealth management and other business fields.

The recommendation engine solves the problem of how users can passively and efficiently obtain the information they are interested in under the condition of information overload. It is mainly used in scenarios such as personalized recommendation, precision marketing, and personalized rating. In terms of real-time recommendation, offline recommendation calculation results are integrated with real-time calculation results to provide low-latency, stateful real-time services; in online recommendation, reinforcement learning algorithms are introduced to collect data based on user real-time behavior to achieve more accurate user status updates, The more durable accumulation of user status achieves the effect of more recommendations and more accurate results.

The knowledge graph identifies, discovers, and infers complex relationships between things and concepts from data, which can help AI models recognize the knowledge framework of the world and truly become intelligent. In 2021, the Agricultural Bank of China will focus on promoting work in the construction of knowledge graph platforms, asset center construction, technology application deepening, and graph neural network exploration.

In addition, the Agricultural Bank of China is also strengthening its platform-based service capabilities in the fields of big data, cloud computing, Internet of Things, and blockchain.

The report also emphasizes that in the future digital economy, technological breakthroughs in data computing (quantum computing), data applications (DataOps), digital interaction (metaverse) and trusted intelligence (explainable AI) related to the operation of the digital society will It will have a huge impact on financial technology and financial business innovation.

Among them, quantum computing can provide basic support for financial technology through super computing power, and it will also pose a threat to security systems based on classical cryptography theory; DataOps is a process-oriented automation method that will become the engine supporting bank data applications , combined with the data center platform, can improve the quality and efficiency of data analysis; Metaverse will transform the interaction mode between e-banks and users from two to three, and the meaning of open banking will be more abundant; explainable AI can provide users with Artificial intelligence services to establish trust at the cognitive level will become an important development direction of artificial intelligence technology in the financial field.

In the future, ABC will pay more attention to new technology fields.