How does artificial intelligence empower the development of the financial industry?

How artificial intelligence empowers the development of the financial industry is mainly reflected in the following aspects:

Build customer personas and facilitate customer management.

Combined with artificial intelligence products such as face verification, text recognition, and voice recognition, we create a safe and efficient platform for unified registration and authentication. Lay the foundation for banking and insurance customers to build high-quality customer big data and knowledge graphs.

The process of collecting valid information about a customer can be greatly simplified by using artificial intelligence, including the details of the insurance policies he or she currently holds, some financial information, and personal information in the customer's account that can be viewed online. Help build customer personas and manage customers hierarchically in order to provide them with the best quality service.

Prospect analysis, intelligent product recommendation.

Based on the user's basic information, user behavior, consumption behavior, interests, concerns, permanent residence, real-time location, app behavior, credit score, etc., the user group portrait is established after processing through the big data platform. Through the accumulation of customer portrait data, the basic tags of different customer groups are analyzed, the user characteristics are extracted, and the products that best match the needs of customers are recommended to achieve precision marketing.

Data is effectively integrated to provide real-time decision-making.

After receiving the data source, it realizes real-time sharing and delivery of data according to the data calculation and processing program in the background, including intelligent underwriting, intelligent claim verification, gold medal speech and real-time large-screen demonstration. The integration and application of data by artificial intelligence can significantly reduce underwriting time, reduce redundant labor overhead, and thus reduce costs.

Break down data silos and establish big data risk control.

AI artificial intelligence has a strong ability to collect, process and integrate data, and through the use of big data to build models, it can carry out risk management control and prompts for financial enterprise customer lending. After collecting the relevant credit information of the lender, you can analyze its recent credit changes and make corresponding reminders in a timely manner.

Secondly, integrate the data of mainstream institutions in the financial industry, use the data of group companies and industry data to form a sharing, break the data island, and identify the credit blacklist faster and more accurately.

Looking forward to the future of the entire financial industry, especially in the field of Internet insurance and banking, with the continuous development of AI deep learning, the application of artificial intelligence will become more and more extensive and obvious.

The main purpose of the development of artificial intelligence is to do complex, dangerous, difficult, repetitive and boring work for human beings, so artificial intelligence is designed and developed with human structure, and the country also fully supports artificial intelligence after it is well developed. Artificial intelligence is also being developed primarily to help and facilitate human life. Therefore, the definition of artificial intelligence has always existed to "assist humans".

The popularity of the concept of artificial intelligence has promoted the rise of many industries, such as domain names, many related. The top domain name has been registered.

The development status of artificial intelligence is in the growth period, and due to the relatively small number of related talents, the talent market for artificial intelligence is vacant, and there is a situation where supply exceeds demand. In addition, the state has issued relevant policies to promote the development of artificial intelligence; Some provinces are also paying more attention to the development of artificial intelligence.

The applications of AI in the financial sector are as follows:

1.Intelligent customer service.

Intelligent customer service is a very vivid application of artificial intelligence in the financial field, which is divided into two aspects: online and offline.

The online part refers to the intelligent customer service. **Intelligent customer service is based on speech recognition, natural language processing and other technologies to realize remote customer business consultation and handling, so that customers can get timely answers, reduce manual service pressure and operating costs, and realize the form of web customer service, WeChat, and APP.

The offline part refers to the intelligent customer service bot in the bank lobby. It uses speech recognition, image recognition, speech synthesis, natural language understanding and other technologies, which largely frees the lobby manager from complicated work, and at the same time saves business processing time, which is convenient and fast.

2.Biometrics.

Biometrics refers to the identification of personal identity through computers, biosensors and other technical means, using the inherent physiological and behavioral characteristics of the human body, which has obvious advantages of security and confidentiality. At present, there are three types of biometric technologies commonly used in the financial field: face recognition, fingerprint recognition and iris recognition.

Face recognition is to extract the face image of the verifier according to the features, and then compare it with the face image in the database to achieve the effect of verification.

Fingerprint recognition is by extracting the authenticator's fingerprint and comparing it with the fingerprint in the database, such as mobile banking, Alipay, etc.

Iris recognition is based on the iris image in the human eye, and is generally used in the core areas of the bank, such as vaults, data centers, etc.

3.Robo-advisors.

The application of robo-advisors is mainly divided into two categories according to different objects, which are aimed at ordinary customers and investment institutions.

For ordinary customers, the robo-advisory system can collect indicators such as customers' age, consumption trajectory, economic foundation, and risk preference, and use machine learning to build mathematical models to provide customers with personalized financial services, which has the advantage of being more objective and reliable.

For investment institutions, through machine learning and neural network technology, the computer can learn financial data, and at the same time, comprehensively analyze the relationship between the upstream and downstream links of the enterprise and the competition with other companies, take the initiative to discover risks, and adjust investment strategies in a timely manner.

Hello, the advantages of AI in the financial field are mainly as follows:

1) Regulatory Violations and Fraud Detection: This is an area where AI Pure Rift is outperforming humans. Artificial intelligence analyzes large amounts of data and picks out suspicious transactions.

Manually analyzing such transactions can lead to errors. Without an AI fraud detection system, criminals would be able to launder money or fund illegal activities on a large scale.

2) Improve lending and credit assessments: Using credit scores to assess financing eligibility often relies on outdated information, misclassifications, and errors. However, there is now more information online that can more realistically describe the person or business being assessed.

3) Reduce operational costs and risks: Mistakes are common in human work, and they can have serious repercussions. Even with experienced staff at the helm, mishandling can hold an agency accountable and cause irreparable reputational damage.

AI is based on creating logic from data and using technology to solve business problems, which reduces this risk of source copy.

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At present, China's economic development is in a critical period of transformation of old and new kinetic energy, and artificial intelligence is of great significance for China to seize the commanding heights of science and technology, promote supply-side structural reform, achieve a new leap in social productivity, and improve comprehensive national strength and international competitiveness. In July 2017, the company released the "New Generation Artificial Intelligence Development Plan", proposing to accelerate the intelligent upgrading of the financial industry through intelligent finance; Through the establishment of a financial big data system, improve the ability of financial data processing and understanding; innovate intelligent financial products and services, and develop new financial formats; Encourage the financial industry to apply technologies and equipment such as intelligent customer service and intelligent monitoring, and establish an intelligent early warning and prevention and control system for financial risks. Artificial intelligence will have a profound impact on the transformation and upgrading of China's financial industry and the enhancement of competitiveness.

Web Overview of Artificial Intelligence Definition Artificial intelligence (AI) is an emerging science that studies theories, methods, and techniques that use computer simulations to emulate, extend, and extend human intelligence. As an important branch of computer science, the main goal of AI development is to enable computers.

What impact will AI have on the financial industry?

AI is more than just a technology. In the future, attention will begin to shift to the correctness of financial algorithms, and not to programs. What can AI change in finance?

A survey of existing financial institutions found that they believe that it will affect credit assessment by 74%, risk management by 70%, market competitiveness by 64%, human resource structure by 40%, market stability by 39%, and market regulation by 20%.

At present, there are many fields abroad that are applying artificial intelligence, including complex financial transactions and financial research, because the ability of primary artificial intelligence in finance is to use our human algorithms.

In fact, AI is not determined by technology, but by how people use it. How AI is used in the financial industry will determine how much of the positive and negative impact it can have. I always think that there is no problem with P2P, there is no problem with P2P technology, and who is using P2P is the problem, so artificial intelligence is also facing this problem.

Against this background, a class of companies has emerged. At the beginning of 2016, a group of the world's leading entrepreneurs announced the establishment of a company with $1 billion, the goal of which is not to make a profit, but to protect people from the dangers of artificial intelligence, which shows that although artificial intelligence is far away from destroying us, the team to fight against artificial intelligence has come. Will there be such a logic in the future, when technology has jumped to the level of artificial intelligence, every scientific and technological innovation must prepare a force to fight it?

The speed at which AI will develop in the financial industry depends on the decisions of financial industry leaders. If he had been positive about it, it would have been faster; If he is cautious about this, Brother Hui will be slower, but in any case, the development of artificial intelligence will make great strides. Finally, is AI a disaster or an opportunity?

We don't know. Any answer to the future of artificial intelligence now is a superficial performance, but everything is impossible to stop. Human curiosity and the inability to solve real-world problems can lead to an even more unpredictable future.