With the development of artificial intelligence and robotics deep learning technology, they also had a huge impact on our payment.
In less than 20 years time, through the use of machine learning and artificial intelligence, the public has become more convenient, flexible and inclusive, which many technology companies unimaginable in their daily lives. In addition, machine learning and artificial intelligence investment and adoption has increased significantly.
In addition, computer processing technology in the past decade has made a huge leap forward. As more and more consumers to interact and digital business, companies, organizations and governments are collecting large amounts of data. In short, high-performance computing is becoming increasingly cheaper and easier to use, so this technology has changed the pay category are not uncommon.
Fraud prevention
When buying and ××× (CNP) way less and less, the new payment has also brought new cunning ways, such as through video steal money, this approach is common on the Internet, or by using their own the two-dimensional code and two-dimensional code to stop the exchange of business two-dimensional code. However, today's technology has been able to hide information about the user at the same time pay, and the technology is further developed. Be careful direction.
Compared with the monitored dependent learning and investment, technological progress, enabling enterprises to move from this static approach to learning unsupervised learning. Unsupervised, in-depth study of the neural network does not require labeling exercises set. This method continuously updated model, the new model has a subtle anti-detection tools more robust and more flexible, can only be achieved with adequate data situation.
Progressive efficiency
By improving operational efficiency and reduce costs, the depth of machine learning and artificial intelligence could revolutionize payment. In fact, this has already happened. For example, artificial intelligence chat robot has been used to reduce the burden on the customer service representative. In the field of payment, machine learning has also been firmly established, the learning algorithm play an important role in accelerating the authorization and monitoring of sales.
Artificial intelligence can help reduce processing time payment. It can also eliminate artificial intelligence, machine learning and human error. By improving operational efficiency and reduce costs, completely change the payment is possible. In fact, this has already happened. For example, artificial intelligence chat robot has been used to reduce the burden on the customer service representative. In the field of payment, machine learning has also been firmly established, the learning algorithm play an important role in accelerating the authorization and monitoring of sales.
Artificial intelligence can help reduce processing time payment. It can also eliminate human error, saving valuable time to correct the error. Imagine a business need to process large amounts of data to generate financial reports and meet regulatory compliance requirements, a process that usually takes a group of people to perform repetitive data processing tasks. With artificial intelligence, these tasks can be delegated to the machine, so faster than humans, more accurately accomplish these tasks. These techniques can increase efficiency while collecting important user information. Of course, these benefits also mean that the industry's operating costs have been reduced.
In addition to payment, artificial intelligence in sales has also made great achievements. Artificial intelligence can imitate people's phone calls to customers and sell products. It can play one day more than 1,000 phones. The efficiency of artificial intelligence faster than traditional human power and sales efficiency. Telephone robot really easy to use? The real innovation must be separated from the traditional industries of contradictions. If you want to reduce costs, you can not improve performance. The cost can not be reduced to improve performance. Thus, telephone robot presentation is to deal with both issues at the same time, give full play to the role of the weak.