How does artificial intelligence help banks to be smarter?

If artificial intelligence can help banks solve the problem of "money laundering", is it smarter?

Banks that use AI to improve anti-money laundering (AML) inspections and procedures may benefit from the development of artificial intelligence (AI).

This is based on a recent study by Pelican, a provider of financial services solutions, which focuses on how artificial intelligence can help financial institutions with payment processing.

Chat robots eliminate bank tellers? In order to reduce the service cost and maintain the customer service level, a large number of chat bots are providing financial institutions with opportunities to change the rules of the game to change the way they deal with customers at all contact points of financial interaction. Whether it is to provide customers with account balances or to activate newly issued credit cards; Chat bots can handle all kinds of customer interactions by letting new customers successfully pass the application and approval process, or promoting new banking products and loyalty programs.

Social messaging platforms, voice-activated assistants and mobile devices have created new communication channels and created more and more new possibilities centered on dialogue. Supported by natural language processing (NLP) and artificial intelligence (AI) technologies, automated customer interaction now supports human-like chats and smooth conversations.

For consumers, intelligent chat bots bring greater convenience, lower friction, and increase the accessibility of their banking needs. For banks and other financial service providers, it has brought a new wave of innovation centered on customer dialogue. Now, financial institutions can really make their own voices through various contact points and communication channels, and provide services to customers in a more convenient and automated way.

The intelligent bank chat robot can explain customers' intentions, accurately understand what they want, elicit any additional information and perform necessary tasks, all in a seamless chat. Automated conversations can trigger tasks needed to meet customers' needs, instead of limiting customers to predefined banking processes, departmental silos, structured forms and menus, chaotic websites and contact center availability. This is commonly known as conversational artificial intelligence.

Banking robots help simplify and automate customer-oriented processes and reduce service delivery costs. Take authorizing and activating a customer's newly issued credit card as an example. A chat robot can replace the call in the call center, so that the card can be activated quickly and simply without manual intervention.

For example, customers can request their bank balance through WeChat, Alipay or Amazon Alexa voice. Account bot can transfer conversations to customers' preferred messaging channels and send them balance reports. Then, this chat can call other robots to send an upcoming credit card payment reminder, promote new products or offers, or ask customers if they have other banking needs.

Because the dialogue is smoother and the structure is looser, the two sides can interact more. By enabling this feature in one session, they also remove many obstacles that customers encounter when trying to accomplish multiple tasks.

Artificial intelligence is mainly used in bank identification 1. False transactions, and it can predict whether it is an illegal operation according to AI through users' knowledge and behavior. 2. Consumer credit granting means granting credit to users according to their past accounts and consumption.

At present, the main scenarios are the above two categories. Other auxiliary means such as recommendation marketing.

In today's era of artificial intelligence, well, artificial intelligence can help banks to carry out this service. For example, its security system is not only a few simple people, but also several original security guards. Besides, if he says he has this automatic alarm, is this automatic a comprehensive security measure? This artificial intelligence is achievable. Secondly, in all systems of the bank, if artificial intelligence is used, combined with manual double audit, firstly, the work efficiency will be improved, secondly, the labor cost will be greatly reduced, and thirdly, unnecessary expenses will be reduced. Well, artificial intelligence is also the coming of an era. At some time in the future, you may find that there is no one in the bank, and all those who are not at work are artificial intelligence. 20 19 today, some banks in Guangzhou have realized semi-automatic artificial intelligence, and some banks in your bank have realized partial artificial intelligence. In fact, artificial intelligence is a technology that serves our various industries. She stands in a banking institution and helps other industry organizations, so artificial intelligence is a technology. I think artificial intelligence must be faster, more efficient and faster to promote the development of this society, greatly reducing the time for people to handle business and saving social resources.

In order to help to understand the application and influence of artificial intelligence in the banking field more directly, this paper takes the business in Bank of Communications as an example to illustrate.

When you want to know about the banking business, you can try to communicate with the intelligent robot "Jiao Jiao" of Bank of Communications, and you can easily complete a detailed understanding of the business with a question and answer; You can also use the Bank of Communications "Ward Financial Consultant" to obtain intelligent financial consulting services, so that you can avoid the pain caused by long queues. There is also intelligent customer service with more contacts, which can handle 10,000 customer service applications at the same time, reduce customer waiting time and create a better customer experience. These are just the tip of the iceberg of improving service quality brought by the integration of artificial intelligence and financial innovation.

In recent years, the banking industry has gradually introduced AI technology in the fields of identity identification, risk control management and process optimization, and the process of "intelligence" has been greatly promoted. At the same time, the banking industry is also actively exploring the application relationship between artificial intelligence and banking business, and has carried out a large number of research projects in the fields of computational vision, target detection, language dialogue, speech recognition and so on.

However, in the face of numerous development projects, high precision and safety requirements, the rapid growth of computing resources consumption, resource congestion and training queues occur from time to time. At this time, an efficient artificial intelligence resource platform for artificial intelligence enterprise training and reasoning scenario development-Inspur AIStation needs to appear. At present, it has helped the 100-person artificial intelligence development team of Bank of Communications Pacific Credit Card Center to improve the utilization rate of the whole computing cluster by more than 30%, helped the operation and maintenance personnel to improve their work efficiency by 50%, and helped to bring more smooth, convenient and intelligent financial services to customers.

Artificial intelligence may reshape the operation mode of banking business in the near future. Inspur AIStation is accelerating the integration and innovation of artificial intelligence and finance by simplifying the research and development and production of artificial intelligence, and promoting the popularization of bank intelligence.

I am honored to answer this question.

How does artificial intelligence help banks to be smarter? As far as ABC is concerned, I will talk about two aspects in detail, and everyone will understand.

The first one: face recognition.

It seems to be a face recognition technology in a sci-fi blockbuster, which has been widely used in banking business in the past two years. Specifically, this technology is applied to super counter, ATM and lobby counter business.

Benefits 1: reduce the risk of identity fraud. Because when handling business, identity recognition is the premise of business handling, and it is an important means to distinguish whether to act as an agent or whether to use others to handle business. However, visual identification with labor cost alone can't eliminate the use of identity to handle business. With face recognition, the efficiency of identity identification is greatly improved and the risk of identity identification is also reduced. Especially when someone comes to handle business, it can play a deterrent role when they see an identity recognition system.

The second advantage is to improve work efficiency. Now some ABC self-service deposit machines have installed face recognition systems. If you forget to bring your card when you go out, there is no mobile banking, and you can't make an appointment to withdraw money without a card, you can withdraw money from the self-service device through the face recognition system as long as you bring your ID card.

The second one: intelligent financial management.

Banks have their own customer reserves, and the system will prompt customers to suggest asset allocation to account managers, or put forward their own product requirements for each customer who handles business at the counter. For example, customers can apply for a credit card, so as to meet their needs and realize the sales of bank products.

Case 1, Bank Mobile Banking Intelligent Fixed Investment. Everyone should be familiar with the fund's fixed investment, that is, to agree on a fixed period, usually every month, to buy the fund's products with a fixed amount. In the long run, the fixed investment of the fund is a kind of financial management method worthy of office workers or customers with poor professionalism, which is often called lazy financial management. However, if the fund fluctuates greatly, smart fixed investment can give full play to its role. To put it simply, smart fixed investment can realize that under the premise of high risk, the investment will rise less and fall more, and the risk will be minimized while diluting the cost.

Case 2, improve the success rate of bank marketing. Big data of banks can tell account managers that the demand of big customers is high, and automatically classify account managers according to keywords or investment preferences, which is convenient for banks to market products, quickly meet customer needs and achieve a win-win situation.

In short, artificial intelligence has been changing the existence and service mode of this bank. Banks have changed from physical outlets to online services, and from passive services to active marketing. Artificial intelligence is more about cultivating customer loyalty, which is conducive to the steady development of the banking industry.

Artificial intelligence is of great use to banks, such as the approval of credit cards and loans. Artificial intelligence can quickly check this person's credit reporting and repayment ability, which can help users manage their finances better. It can be said that the competition between banks in the future is to see whose artificial intelligence is smarter.