With the advent of the big data era, the inherent development model of traditional commercial banks is far from meeting the actual needs of existing customer groups. Driven by the wave of financial technology, the transformation and upgrading of traditional banks to smart banks has become a historical development trend.
Commercial banks use the Internet, big data, artificial intelligence and other technologies to accelerate technological innovation and deploy new models of financial services. This has become an important way for banks to improve their business management and narrow the gap with international peers.
The Everbright Bank Credit Card Center has built multiple rounds of business scenarios such as cash, cash installment, account checking, repayment, and card application through the AI task engine, and performs unified scene distribution through the central control platform.
At the same time, AI empowerment is carried out, so that business personnel in the industry can easily build dialogue business robots to provide external and internal services.
Industrial and Commercial Bank of China released ECOS, a smart banking ecosystem, opening a new chapter in the construction of smart banking.
As an important part of ECOS construction, treasury management cloud has opened up a new model of bank-enterprise cooperation: integrating enterprise treasury management services and financial services into a unified platform that supports multiple banks; "The way to provide enterprises with end-to-end integrated solutions.
Industrial and Commercial Bank of China Financial Ecological Cloud
Many AI companies such as Huawei and Alibaba have also deployed smart banking scenarios and launched their own smart banking solutions. Behind all aspects of smart banking and these solutions are the support of huge AI training data.
Facing the data needs of the financial field represented by banks, Datatang provides high-quality data solutions.
Datatang has a series of identity verification data and provides multinational bill identification and labeling services to facilitate the identity verification of business operators at the counter and the electronicization of professional bills at the terminal, aiming to create a "one-stop, self-service, Intelligent" new service experience.
identity verification
The identity verification link is very important for banks, which is closely related to the management and control of financial risks. Many banks have introduced artificial intelligence technologies such as face recognition and liveness detection to improve financial security.
Take Zhongan Insurance as an example. ZhongAn is equipped with SenseID identity verification service of SenseTime. In the process of user registration and claim settlement business processing of its insurance products, it realizes services such as face verification and identity verification of users to ensure the authenticity and validity of user identities and the security of business. sex.
Combining multiple combined capabilities such as ID card recognition, face comparison, and liveness detection, Datatang has developed "3D face data of 1078 people" and "living body detection data of 1066 people".
3D face data sample, authorized by the person being collected
The combination of liveness detection and face recognition can effectively combat the fraud of "pseudo-faces" such as printed face images, people wearing human skin masks, and digital images of faces on electronic device screens. If face recognition technology identifies a person's identity, then liveness detection is used to identify whether it is a real person.
Liveness detection data sample, authorized by the person being collected
Note picture annotation
In traditional banking services, bill information extraction and entry is often done manually. Banks need to conduct business training for staff, supervise the information entry process in real time, and check and accept the results.
In this process, there are a series of problems such as high personnel training costs, low input efficiency, and redundant data management.
Optical character recognition technology, namely OCR, can effectively solve the above problems. The function of OCR is to detect the text area in the image and recognize the text content. It can replace the keyboard to complete the high-speed text entry task in many occasions.
Datatang provides character-level, word-level and line-level OCR labeling services for various bank bill images.
Datatang note OCR annotation sample
Datatang has realized the privatization deployment of data labeling, which can fully guarantee the security of enterprise data. The data labeling platform has hundreds of sets of data labeling tools, supported by a complete service process system, which can meet the data security and individual needs of different enterprises.
DATA TANG
Smart banking is a dynamic integration of intelligent data analysis and services based on big data. Banks will use intelligent means and new thinking models to examine customer needs, and use innovative Internet technologies to develop new products, new services, new operating procedures and business models.
In such a customer-oriented service ecology, how to protect customer data security has become the focus of major enterprises' deployment of smart banks.
Datatang, as the world's leading provider of artificial intelligence data, always adheres to strengthening the construction of technical ethics and the concept of science and technology for good. The collection and processing of data strictly abide by various regulations. The collected data has been authorized by the person to be collected. Customers You can use it with confidence.