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Artificial intelligence technology in college finance

2019-07-11 来源: 51due教员组 类别: 更多范文

下面为大家整理一篇优秀的assignment代写范文- Artificial intelligence technology in college finance,供大家参考学习,这篇论文讨论了高校财务中的人工智能技术。随着人工智能技术水平的不断提升,机器人在很多行业中均有了较多的应用。高校财务管理中应用财务机器人,能够更好的获得管理水平的提升,具有十分积极的应用价值。对此,需要在充分结合工作需求的基础上做好其研究与应用,不断提升财务工作的水平。

Artificial intelligence technology,高校财务人工智能技术,assignment代写,paper代写,北美作业代写

With the continuous development of science and technology, artificial intelligence technology has also been developing and improving, and applied in different fields. In the financial work of colleges and universities, artificial intelligence can not only promote the development of industry and science and technology, but also promote the improvement of service efficiency. In addition to better application in financial reimbursement, artificial intelligence also has a high level of application in college fees and financial consultation. Colleges and universities should do a good job in the research and application of artificial intelligence based on the full combination of work requirements, so as to improve the level of financial management.

Artificial intelligence is a challenging science formed by the interpenetration of multiple disciplines, which is widely used in different fields. The essence of artificial intelligence technology is to feel the relevant information from the environment so as to realize the research of corresponding agents. Artificial intelligence can not only simulate human rational thinking and action, but also has reasoning, logical judgment and learning ability. Meanwhile, for universities, the application of artificial intelligence in scientific research and development has strong advantages. In view of this, the development of specific financial management work in colleges and universities needs to grasp the opportunity of development of The Times actively, through the application of artificial intelligence in the financial work of colleges and universities to achieve the improvement of financial management level.

In the process of the continuous development of information technology, the financial work of colleges and universities will also develop towards the direction of intelligence and digitization, and more artificial intelligence can replace the basic work of traditional finance. Although the actual development and application of artificial intelligence technology will exert certain pressure on the employment of accounting personnel, its specific application can also meet the development trend of management accounting to financial accounting, and enable financial services to get a good transformation and development. Under the background of artificial intelligence, through the standardization, simplification and optimization of business service process, anyone can use any device to access to the Internet at any place and at any time, and conduct corresponding processing according to their actual needs.

Artificial intelligence technology in the development process, its also on people's lives and mode of production has brought great changes, such as security, electricity, and the application of financial aspects and so on, through the application of artificial intelligence, can in computing context good simulation of the human brain, in order to related huge amounts of data in parallel and fast processing. In artificial intelligence application in the process of transformation, in the actual financial management work is no longer purely financial simple connected with the Internet, but the mobile Internet, cloud computing and big data series, on the basis of achieving intelligent precise calculation of the human brain thinking, judgment, and learning objectives, to provide a personalized and high quality service, can say, artificial intelligence into the financial and education field is the important trend of the future work.

In the actual financial work of colleges and universities, the most time-consuming and tedious basic work of financial services can be handled through the application of artificial intelligence technology, so that accountants can have more time to deal with advanced management and financial work. In the specific application of artificial intelligence can like a perpetual motion machine in the cloud to think and learn, work according to the rules, through the service port efficient, high quality, and standardized service, and for the entire service to the whole process of the development of well track, can carry on the good control of financial information security, to realize the management and saving labor costs.

In the process of the development of colleges and universities, with the increase of business volume, there is a great pressure in the actual financial accounting work, especially at the end of the year and the end of a lot of reimbursement, queuing for reimbursement. Although the financial reimbursement methods of colleges and universities have been optimized at present, such as the application of pre-examiners, online self-help reimbursement and delivery reimbursement, which can solve some problems in one of the links, but from the overall perspective, there are still some deficiencies in the reimbursement process and efficiency. There are serious differences between teachers and financial personnel. In the face of the increasing business volume of teachers and students, limited staff, and related personnel are not familiar with the specific business, there is still great pressure. For this kind of situation, the university financial robot has been well developed and applied. For the robot, it is composed of inkjet printer, hd scanner, cabinet, check printer and touch display and other components, through its application in the actual accounting work, can effectively achieve the optimization of accounting process and accounting efficiency improvement. Specifically, its functions in practical application include:

In the practical application of financial reimbursement robot through the qr code identification, big data intelligent algorithm, and the application of image recognition method to scan the qr code on the invoice, can directly to photo processing, to the relevant content into a system implementation will invoice, and at the same time to do a good job of stored data. At the same time, it can also verify the date, amount, content, authenticity and other conditions of the invoice. After the verification, the system will automatically fill in various electronic examination and approval forms, and sign and approve different types of examination and approval forms through specific authorization rules. After the audit is completed, relevant financial personnel conduct batch review and processing in the background. After the review, the system automatically generates the qr code with relevant identification on the original voucher.

In the work, accounting personnel to fill in related content, financial robot according to its fill in the content of the implementation of accounting entries template matching, in the background after dealing with the financial personnel check for automatic printing processing, will be the same as above steps again original documents together with deposit under the situation of electronic archive processing. For the documents that have been posted, they can be converted into standard electronic documents, which can be uploaded together with the original documents with unique codes and filed in the electronic filing system. After the financial processing, the robot can connect with the corresponding wire transfer, bank and business card to achieve the payment target.

In addition to its good application in financial accounting, ai technology also has good application value in other aspects of college finance:

In the process of continuous development and change of China's college education system, colleges and universities have undergone great changes in the number of students and the scale of running schools, which has brought great pressure to the development of college fees. In the actual charging work, under the application of artificial intelligence automation and intensive conditions, we can develop and apply charging financial robot, which can make up for the disconnection between campus unified payment platform and payment line on the basis of changing the backward situation of on-site charging. As for the robot, it is composed of electronic seal, host, touch display and ticket storage box, etc., which can classify the financial invoice and financial accommodation fee robot according to different billing properties. In practical application, its main functions are:

Students can enter the payment interface through the application of voice recognition and face recognition, reducing the workload of manual input and thus avoiding human error. In concrete expends, the interface to query your payment situation, combined with the lack of information on the items for display, capture expends, after the completion of the selected system will prompt payment methods, can according to the actual demand achieve qr code as well as cash credit card payment, and after payment can also according to their own needs to print bills.

This function can help students to print the charge sheet by themselves. Through the application of id card, students can get their own charge information. At the same time, the system also supports batch self-help print and functions, such as single detail query, after complete the payment through different ways, can the related certificates in the robot for repair, effectively reduce the past financial staff in tuition ticket distribution workload, and can effectively save the tuition negotiable instruments, and can realize the bill management quality of ascension.

At present, many university departments are equipped with full-time staff to ensure a good connection with the financial department. Through regular training, I enabled him to have a good understanding of financial related business and to be responsible for the expense reimbursement of their respective departments. However, with the increasing investment of national scientific research funds, more teachers are involved in financial reimbursement, and the original full-time financial docking staff cannot meet the needs of teachers in training and scientific research funds. This situation makes many teachers need to independently report accounts at work, which not only cannot guarantee the efficiency of relevant business, but also has an impact on the work efficiency of financial staff. The emergence of financial navigation robot can solve this kind of problem. Specifically, it is composed of touch screen, speech recognition system and host. In practical processing, it can expand its business scope through the application of mobile terminals. In practical application, teachers and students need to master the related process of reimbursement. First of all, through the application of the financial navigation robot to enter their own job number into it, so as to enter the query interface. At the same time, it can also be processed by face recognition system. Artificial intelligence can do login processing on the basis of identifying the pictures in the school staff database. After successful login, teachers and students can choose the corresponding reimbursement category according to their actual authority. This part of authority has been set before. After the selection of corresponding business, the system will display the full flow chart of the business. By touching different process nodes, the system can display the person in charge of signing and approving this step and the original certificate, etc. At the same time, the robot is equipped with school rules and regulations, financial policies and regulations and other functions in the practical application, so as to better solve the doubts of teachers and students in terms of policies and regulations.

In the process of continuous improvement of artificial intelligence in China, robots have been used in many industries. The application of financial robot in financial management of colleges and universities can better improve the management level and has very positive application value. To this end, it is necessary to do its research and application well on the basis of full combination of work requirements, and constantly improve the level of financial work.

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