Shulou(Shulou.com)06/03 Report--

With the increasing improvement of technologies such as AI intelligence and robot deep learning, they are also having an earth-shaking impact on the way we pay.

In less than 20 years, the public has become more convenient, sensitive and inclusive about the use of technologies such as machine learning and artificial intelligence in daily life, which is beyond the reach of many technology companies. In addition, there has been a meaningful increase in the investment and adoption of machine learning and artificial intelligence.

In addition, computer processing technology has made a great leap forward in the past decade. As more and more consumer interactions and transactions are digitized, companies, institutions and governments are now collecting large amounts of data. In short, high-performance computing is becoming cheaper and easier to use, so it is not uncommon that this type of technology has changed the scope of payment.

Prevention of fraud

When there are fewer and fewer ways of buying and selling credit cards (CNP), new payment methods have also brought new fraudulent ways, such as stealing users' money through secret photography, or exchanging their own QR codes and merchants'QR codes, but the current technology has been able to hide users' information at the time of payment, and the technology is moving towards further refinement.

Instead of relying on monitored learning and input, technological advances allow companies to move beyond this static form to unmonitored learning. An unmonitored, deep learning neural network does not require a marked exercise set, it updates the model from time to time, and makes the new model have more robust and sensitive anti-cunning detection tools. this can be done with only enough data.

Improve efficiency

Both machine deep learning and artificial intelligence may revolutionize the way payment is handled by improving operational efficiency and reducing costs. In fact, this situation has happened before. For example, artificial intelligence has been done with chatbots to lighten the burden on customer service representatives. Machine learning has also gained a foothold in the field of payment, and learning algorithms play an important role in speeding up the authorization and monitoring of transactions.

Artificial intelligence can help reduce the processing time of payments. It can also eliminate human errors-both machine learning and artificial intelligence have the potential to revolutionize the way payments are handled by improving operational efficiency and reducing costs. In fact, this situation has happened before. For example, artificial intelligence has been done with chatbots to lighten the burden on customer service representatives. Machine learning has also gained a foothold in the field of payment, and learning algorithms play an important role in speeding up the authorization and monitoring of transactions.

Artificial intelligence can help reduce the processing time of payments. It can also eliminate human errors and correct them by saving precious time. Imagine an enterprise that needs to dispose of large amounts of data to generate financial reports and to meet regulatory and compliance requests, a process that usually requires a group of people to perform repeated data disposal tasks. With artificial intelligence, these tasks can be delegated to machines, and machines can complete these tasks faster and more accurately than humans. These technologies can improve efficiency while collecting important user information. Of course, these benefits also mean that the operating costs of these industries are lower.

In addition to the payment method, artificial intelligence has also made great achievements in sales. Artificial intelligence has been able to simulate people to make phone calls to customers and sell products, and can call more than 1000 calls a day, which is fast and can not be matched by traditional human power sales. Is the phone robot easy to use? A real innovative product must be combined with the contradictions of the traditional industry, want to reduce costs but can not improve performance, improve performance costs can not go down, so the emergence of phone robots is to solve these two problems at the same time, give full play to weak labor.

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