scholarly journals The Influence and Application of Artificial Intelligence &Blockchain on Financial Service

2018 ◽  
Vol 9 (3) ◽  
pp. 45-54
Author(s):  
Shu-Han Chang ◽  
Chien-Ping Shih

Abstract The advances in science and technology have benefited many industries. In recent years, we have witnessed the rapid development of financial technology. All of them worked hard in this area, such as Amazon, UPS, and Wal-Mart International. In China, leading e-commerce platforms such as Alibaba and Tencent actively provided services to SMEs in their ecosystems; Taiwan also make efforts to develop it. The emergence of networking account scientific and technological AMIS provides various payment companies, lending platform, financial robots. Although Taiwan’s innovation industry faces many restrictions on its development, it will still go through it. Therefore, Taiwan has continued to update laws and regulations related to financial technology. The latest rule “Financial Science and Technology Development and Innovation Experiments Regulations” regards the development of Taiwan’s financial technology. FinTech has gradually replaced the traditional financial service model. Through mobile payments, cloud platforms, and artificial intelligence, the technology industry has gradually penetrated into the financial industry. We are willing to make more progress in Taiwan’s financial technology to deepen the understanding of FinTech as a study.

2021 ◽  
Vol 13 ◽  
pp. 127-132
Author(s):  
Zhuoying Li

The recent years witness innovative development of financial industry, which attributes to fast progress and in-depth application of information technologies such as big data, artificial intelligence, and blockchain. But, at the same time, they bring challenges to financial regulation and accelerate rise of regulatory technology. Based on challenges to regulatory agencies brought by financial technology development, this study proposes suggestions for the coordinated relationship between financial innovation and financial technology regulation from the perspective of technology empowerment, in order to improve efficiency of financial markets, and reach a balance between financial technology and prevention of systemic financial risks.


Author(s):  
Ivana Ognjanovic

Modern technology development created significant innovations in delivery of healthcare. Artificial intelligence as “a branch of computer science dealing with the simulation of intelligent behaviour in computers” when applied in health care resulted in intelligent support to decision-making, optimised business processes, increased quality, monitoring and delivering of personalised treatment plans and many other applications. Even though the benefits are clear and numerous, there are still open issues in creating automation of healthcare processes, ensuring data protection and integrity, reduction of medical waste etc. However, due to rapid development of AI techniques, more advances and improvements are still expected.


2018 ◽  
Vol 176 ◽  
pp. 01043 ◽  
Author(s):  
Jin Wei

With the development of science and technology, artificial intelligence technology has received more and more attention and attention. Under the background of the rapid development of big data and cloud computing, the artificial intelligence industry broke out. There is a huge amount of research on artificial intelligence and the artificial intelligence industry is huge. As far as the artificial intelligence industry in China is concerned, even the start is relatively late, but the industry scale, industrial layout, and technology research are all in a continuous improvement stage. Especially after the deepening of the layout of science and technology and manufacturing industries, the scale of artificial intelligence industry is further developed. More artificial intelligence products will appear at the same time. From the perspective of the concept, development history and new progress of artificial intelligence, this paper combines China’s artificial intelligence market and the development of artificial intelligence companies to analyze the current major application areas, and then further explore the future development trend of artificial intelligence.


Author(s):  
Han He ◽  
Dong Tian ◽  
Weiwei Liu

Artificial intelligence is one of the most popular topics in today's era, and it is also an important development strategy of our country. In order to train high-level talents of artificial intelligence, the major of machine learning of financial science. China has gradually explored a set of relatively fixed teaching methods for the major of financial science and technology machine learning. However, in combination with the needs of the current era, industrial production puts forward higher requirements for the study of this major, It makes the traditional teaching method backward and unsuitable. In order to seek a more efficient teaching mode, it is urgent to reform the current teaching of financial technology machine learning. In this context, combined with the advanced teaching concept of intelligent information processing course group, this paper re plans the related courses of financial science and technology machine learning specialty, enhances the relevance between courses, enables the courses to connect and cooperate with each other, and forms a chain of excellent course group. strengthen the theoretical research, and strive to build a high-level teaching team to form a more three-dimensional and more close to the needs of the times. In order to investigate the rationality of the teaching reform, this paper carries on the verification analysis under the massive real data, obtains the reform method is scientific, is feasible through the analysis, and will play the positive role to the financial science and technology machine learning curriculum teaching reform under the intelligent information processing curriculum group.


Author(s):  
Fatma Bouaziz ◽  
Amira Sghari

The evolution of information and communication technology (ICT) affects all areas of activity including the financial industry. Indeed, it leads to rapid development of innovative and modern financial services, namely financial technology (Fintech). The latter is not well defined in the literature. This descriptive chapter aims to propose a comprehension of the Fintech concept based on three interpretations: Fintech as financial services relying on digital technologies, Fintech as startups and IT companies, and Fintech as an industry. An analysis of the components of the Tunisian Fintech ecosystem is then presented. The latter is mainly composed-of Central Bank of Tunisia, fintech startups (financing, payments, loyalty program, blockchain and cryptocurrencies, exchange services and insurance, and technology, IT, and infrastructure), technology developers, traditional financial institutions, and financial customers.


2014 ◽  
Vol 644-650 ◽  
pp. 3647-3650
Author(s):  
Hua Chun Zhou

With the rapid development of science and technology, people become more expected about the intelligent experience brought by science and technology development. To operate the machine through a remote-control unit is a gift to industry from science and technology, our life is being changed by science and technology, we hope not only rely on remote-control, but also perceive our movement and then compete corresponding task according to our willing. To make the intelligent machine more acceptable to human life, and to develop an intelligent dustbin which controlled by gestures will realize interactions between human and intelligent dustbin. This article introduced the hardware circuit design of the intelligent dustbin.


Author(s):  
Vesna Bogojevic Arsic

Research Question: This paper reviews different artificial intelligence (AI) techniques application in financial risk management. Motivation: Financial technology has significantly changed the business operations which required transformation of financial industry. The financial risk management needs to be restructured because the methods that have been used in the past became low effective. The artificial intelligence techniques proved their efficiency and contributed to fast, low–cost and improved financial risk management in both financial institutions and companies. Idea: The aim of this paper is to present a state of AI techniques application in financial risk management, as well as to point out the direction in which further application and development could be expected. Data: The analysis was conducted by reviewing various papers, books and reports on AI applications in financial risk management. Tools: The relevant literature systematization was used to provide answers to the question to what extent AI techniques (especially machine learning) could be used in managing financial risk management. Findings: Artificial intelligence largely improved the market risk and credit risk management through data preparation, modelling risk, stress testing and model validation. Artificial intelligence techniques can be useful in data quality assurance, text-mining for data augmentation and fraud detection. The financial technology will continue to affect the financial sector through requiring the adaption to new environment and new business models. Because of that, it could be expected that artificial intelligence will become part of the financial risk management framework. Contribution: This paper provides a review of artificial intelligence applications in market risk management, credit risk management and operational risk management. The paper identified the key AI techniques that could be used for financial risk management improvement because of financial industry transformation.


2019 ◽  
Vol 10 (2) ◽  
pp. 311
Author(s):  
Rifqi Muhammad ◽  
Rima Lanaula

<p><strong>Abstract:</strong> Islamic financial industry is increasingly developing with the presence of financial technology both in the form of peer to peer lending and crowdfunding. Islamic financial technology (fintech) enables sharia business players to formulate financing schemes using innovative and diverse sharia contracts. This has become a challenge in the aspect of sharia supervision due to limited regulations, corporate governance, and human resource capabilities. This paper will discuss the development of the financial technology industry in Indonesia and specifically the development of Islamic financial technology in terms of the growth in the number of service providers, the amount of financing, regulation and corporate governance. Secondly, this paper will discuss the challenges faced in the field of sharia compliance and the role of the sharia supervisory board in sharia supervision. Third, this paper will formulate corporate governance and human resource competencies of sharia supervisory board to encourage sharia compliance. Finally, this paper will formulate the conclusions and recommendations for improving regulation of the financial technology industry.</p><p><strong>Abstrak:</strong> Industri keuangan syariah semakin diramaikan dengan munculnya teknologi finansial (financial technology) baik yang berbentuk peer to peer lending maupun crowdfunding. Islamic financial technology (fintech) memungkinkan para pelaku bisnis syariah untuk merumuskan skema pembiayaan menggunakan akad-akad syariah yang semakin inovatif dan beragam. Hal ini menjadi tantangan dalam aspek pengawasan syariah karena keterbatasan regulasi, tata kelola perusahaan (corporate governance), dan kemampuan sumber daya manusia. Paper ini akan membahas perkembangan industri teknologi finansial di Indonesia dan secara khusus perkembangan Islamic financial technology dari sisi pertumbuhan jumlah penyedia jasa, jumlah pembiayaan, regulasi maupun tata kelola perusahaan. Kedua, paper ini membahas tantangan yang dihadapi dalam bidang kepatuhan syariah dan peran DPS (Dewan Pengawas Syariah) dalam pengawasan syariah. Ketiga, paper ini merumuskan tata kelola perusahaan dan kompetensi sumber daya manusia DPS untuk mendorong kepatuhan syariah Islamic financial technology. Akhirnya, paper ini merumuskan kesimpulan dan rekomendasi untuk perbaikan regulasi industri teknologi finansial.</p><div id="gtx-trans" style="position: absolute; left: 153px; top: 148px;"> </div>


Author(s):  
Chen Zhu ◽  
Liping Chen

With technological innovations such as big data, cloud computing, artificial intelligence, and blockchain, it has been fully applied to payment and settlement, loan financing, wealth management, retail banking, insurance, transaction settlement, etc. In the big financial field, the integration of finance and technology is becoming a new trend in the future development of the financial industry. In the current development of financial technology, the training of financial engineering professionals is also facing many opportunities and challenges. The financial engineering major of our school started late. Although many achievements have been made, there are still some shortcomings. Especially with the development of financial technology, the original curriculum system needs to be adjusted and improved in time, so this article will proceed discuss the reform and construction of financial engineering courses.


2019 ◽  
Vol 3 (3) ◽  
pp. 91
Author(s):  
Cuizhen Peng

<p>Now the speed of social and economic development is faster and faster, the development of science and technology is also fast and the speed of artificial intelligence technology development quickens. All of these promote the rapid development and progress of accounting. This paper tries to analyze and study the education and training mode of accounting talents under the premise of artificial intelligence, put forward the goal of training accounting talents, promote the integrity of accounting teaching system, and explore the optimization and improvement of accounting teaching mode.</p>


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