Deterministic Elements of Promoting Financial Services

2020 ◽  
Vol 7 (9) ◽  
pp. 807-814
Author(s):  
Yutaka Kurihara
Keyword(s):  
Artificial Intelligence ◽  
Financial Institutions ◽  
Financial Services ◽  
Banking Regulation ◽  
Quality Of Services ◽  
High Quality ◽  
Related Services ◽  
Human Skills ◽  
Financial Technology

Recently, FinTech (financial technology) and related services have improved greatly. Along with this trend, AI (artificial intelligence) has received a lot of attention as well. Financial institutions have been introducing FinTech and AI for improving efficiency and the quality of services. The aim of this study is to investigate the deterministic elements of promoting financial services. Focusing on two elements, 1) human skills and 2) social circumstances, empirical analyses are conducted to examine the deterministic elements. The empirical results show that finance skill and digital technological skill are both deterministic elements of financial services. Additionally, population growth, finance and banking regulation, and development and application of technology are also deterministic elements. However, whether the population over 65 years is a deterministic elements or not is not clear. To promote the quality of financial services, not only are human skills important, but social circumstances are also important. To make the circumstances clear is inevitable to promote financial services and to improve efficiency. Making these elements a reality, people will be able to enjoy high quality financial services.

scholarly journals Cooperative Governance Path of Financial Technology Supervision

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
Difei Zhang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Data Analysis ◽  
Financial Institutions ◽  
Financial Services ◽  
Big Data Analysis ◽  
Technology Changes ◽  
Financial Technology ◽  
Cooperative Governance

Financial technology changes the logic of financial interpretation through the use of digital and digital centric technologies, commercialization, big data analysis, machine learning and artificial intelligence. From financial institutions that use technology to provide financial services to technology companies that directly provide financial services, fintech companies play an important role in realizing financial brokerage and financial democratization and improving the availability and efficiency of financial services. Based on this, this paper focuses on the plight and path of cooperative governance of financial technology supervision, for the reference of relevant personnel.

Protection of Customers for Management of Digital Banking Services (Study at PT. BRI Unit Boyolali)

2020 ◽  
Vol 3 (2) ◽  
pp. 170
Author(s):  
Herdian Ayu Andreana Beru Tarigan ◽  
Darminto Hartono Paulus
Keyword(s):  
Information Technology ◽  
Financial Services ◽  
Banking Industry ◽  
Service Innovation ◽  
Quality Of Services ◽  
Legal Research ◽  
Banking Services ◽  
Services Sector ◽  
Financial Services Sector

<p>Increasing competition in the Indonesian banking industry has encouraged many banks to improve the quality of services to customers by utilizing information technology developments. Service innovation in the use of information technology encourages banks to enter the era of digital banking services. However, the development of digital banking services also increases the risks faced by banks. The purpose of this study is to provide an overview of the implementation of digital banking services and customer protection for risks from digital banking services. The method used in this study is an empirical legal research method. The results of this study indicate that the implementation of digital banking services is regulated by OJK Regulation No.12/POJK.03/2018. The existence of this OJK Regulation is expected by banks as providers of digital banking services to always prioritize risk management in the use of information technology. In addition, this study also shows the existence of 2 types of customer protection for the use of digital banking services, namely preventive protection in the form of legislation related to customer protection in the financial services sector and repressive protection in the form of bank accountability for complaints from customers using digital banking services.</p>

When Technology Meets Finance

2021 ◽  
pp. 1-21
Author(s):  
Yousif Abdullatif Albastaki
Keyword(s):  
Artificial Intelligence ◽  
Financial Institutions ◽  
Financial Services ◽  
Major Part ◽  
The Internet ◽  
Financial Industry ◽  
Digital Innovation ◽  
Customer Expectations ◽  
The Internet Of Things

There is a paradigm shift in the financial services industry. Combined with ever-changing customer expectations and preferences, emerging technologies such as artificial intelligence (AI), machine learning, the internet of things (IoT), and blockchain are redefining how financial institutions deliver services. It is an enormous task to remain competitive in this ever-changing environment. Financial institutions see FinTech as a major part of the digital future, and as proof of this, since 2015, financial institutions have invested over US$ 27 billion in FinTech and digital innovation. This chapter is an introductory chapter that explores FinTech in the literature. It focuses on how FinTech is reshaping the financial industry by describing FinTech phases and development process. The financial products and services using FinTech are also described with a highlight on Islamic FinTech. The chapter finally concludes by describing the future of FinTech.

Exploring the Possibilities of Artificial Intelligence and Big Data Techniques to Enhance Gamified Financial Services

2022 ◽  
pp. 187-204
Author(s):  
María A. Pérez-Juárez ◽  
Javier M. Aguiar-Pérez ◽  
Miguel Alonso-Felipe ◽  
Javier Del-Pozo-Velázquez ◽  
Saúl Rozada-Raneros ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Financial Institutions ◽  
Financial Services ◽  
Essential Role ◽  
Digital Natives ◽  
Digital Immigrants ◽  
Artificial Intelligence Techniques ◽  
New Challenges

A lot of millennials have been educated in gamified schools where they played Kahoot several times per week, and where applications like Classcraft made them feel like the protagonists of a videogame in which they had to accumulate points to be able to level up. All those that were educated in a gamified environment feel it is natural and logical that gamification is used in all areas. For this reason, gamification is increasingly becoming important in different fields including financial services, bringing new challenges. Gamification allows financial institutions to provide personalized and compelling experiences. Big data and artificial intelligence techniques are called to play an essential role in the gamification of financial services. This chapter aims to explore the possibilities of using artificial intelligence and big data techniques to support gamified financial services which are essential for digital natives but also increasingly important for digital immigrants.

The Evolution of Fraud Intelligence

2011 ◽  
pp. 261-283
Author(s):  
David Porter
Keyword(s):  
Financial Institutions ◽  
Financial Services ◽  
Information Assurance ◽  
Fraud Detection ◽  
High Quality ◽  
Services Sector ◽  
Detection Systems ◽  
Financial Services Sector

This chapter discusses the latest innovations in fraud detection, with a particular focus on insider fraud and organized fraud. It argues that as fraud continues to grow at an alarming rate across the financial services sector, the constant evolution in fraudster behavior means that financial institutions need to keep their technology-based countermeasures constantly updated, particularly given the increasing involvement of serious organized criminals. In addition to upgrading their current operational detection systems, this chapter aims to encourage organizations to improve current levels of data and information assurance in order to ensure the generation of high quality intelligence on the enemy, and to adopt a structured framework for better understanding and describing exactly what we mean by “intelligence.”

Selected Papers from TAAI 2006

2008 ◽  
Vol 12 (3) ◽  
pp. 217-217
Author(s):  
Hsin-Chang Yang ◽  
Wen-Yang Lin ◽  
Chun-Yang Chang ◽  
Cheng-Hong Yang ◽  
Shyi-Ming Chen
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Theory And Practice ◽  
Annual Conference ◽  
Valuable Resource ◽  
Special Issue ◽  
High Quality ◽  
Swarm Optimization ◽  
Music Retrieval

The 11th Conference on Artificial Intelligence and Applications (TAAI 2006), which was held during Dec. 15-16, 2006 at Kaohsiung, Taiwan, is the annual conference of Taiwanese Association for Artificial Intelligence. The conference is intended to provide a forum for researchers and scholars in the related fields of artificial intelligence. Past conferences have proven them successful attempts to become the most important meeting of artificial intelligence researchers in Taiwan. This is also true for TAAI 2006, which focuses on various aspects on theory and practice of artificial intelligence. In this special issue, 11 papers presented in the conference are selected and extended for their outstanding performance on the conference. These papers cover wide spreading aspects, which include versatile motion planning, particle swarm optimization, data mining, image retrieval, music retrieval, natural language processing, navigation, fuzzy logic, gaming, and bioinformatics. This issue thus concisely summarizes recent advances in artificial intelligence and its applications. The readers should find them valuable and inspiring. We hope that this issue should provide a valuable resource for their researches. As guest editors of this special issue, we like to express our greatest gratitude to those that help this issue come true. Thanks to all contributors and referees for their elaborate works and careful reviews that assure the high quality of this issue. Special thanks should go to Mr. Makoto Shimada of Fuji Technology Press for his efforts and kind assistance in publishing this issue. Finally, we also like to thank the Editors in Chief of JACIII, Prof. Toshio Fukuda and Prof. Kaoru Hirota, for their generous hospitality in supporting this special issue.

scholarly journals Humans Judged by Machines: The Rise of Artificial Intelligence in Finance, Insurance, and Real Estate

2021 ◽  
pp. 119-128
Author(s):  
Frank Pasquale
Keyword(s):  
Artificial Intelligence ◽  
Real Estate ◽  
Financial Institutions ◽  
Political Power ◽  
Financial Inclusion ◽  
The Core ◽  
New Approaches ◽  
Monetary Authorities ◽  
Office Procedures ◽  
Financial Technology

AbstractThere are opportunities but also worrisome trends as AI is applied in finance, insurance, and real estate. In these domains, persons are increasingly assessed and judged by machines. The financial technology (Fintech) landscape ranges from automation of office procedures, to new approaches for storing and transferring value, to the granting of credit. The Fintech landscape can be separated into “incrementalist Fintech” and “futurist Fintech.” Incrementalist Fintech uses data, algorithms, and software to complement professionals who perform traditional tasks of existing financial institutions. It promises financial inclusion, but this inclusion can be predatory, creepy, and subordinating. These forms of financial inclusion undermine their solvency, dignity, and political power of borrowers. Futurist Fintech’s promoters claim to be more equitable, but are likely to falter in their aspiration to substitute technology for key financial institutions. When used to circumvent or co-opt state monetary authorities, both incrementalist and futurist Fintech expose deep problems at the core of the contemporary digitization of finance.

Conceptualizing the Use of Artificial Intelligence in Customer Relationship Management and Quality of Services

2022 ◽  
pp. 177-201
Author(s):  
Parag Shukla ◽  
Sofia Devi Shamurailatpam
Keyword(s):  
Artificial Intelligence ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Operational Efficiency ◽  
Customer Relationship ◽  
Quality Of Services ◽  
Comprehensive Model ◽  
Indian Banks

In this chapter, the authors have conceptualized a hypothetical comprehensive model of AI, CRM, and quality of services by banks given the underlying pull and push factors that determine the extent of AI adoption by the banks. This chapter shall also serve as a primer to demonstrate the effects of use of artificial intelligence in the Indian banks and is also aimed to encapsulate the restraining and facilitating forces that drive adoption of AI. This chapter examines the blooming development of artificial intelligence and its significance in the operational efficiency in terms of management of issues related to customers while accessing different products and services offered by banks. In other words, the use of artificial intelligence technologies can dramatically improve banks' ability to achieve four key outcomes: higher profits, at-scale personalization, rapid innovation cycles, strategic customer relationship management (CRM), and distinctive omni-channel experiences. The role of artificial intelligence (AI) is significant in the banking industry for operational efficiency.

NIMG-55. AUGMENTED INTELLIGENCE IS SUPERIOR TO ARTIFICIAL INTELLIGENCE! HUMAN-COMPUTER SYNERGY FOR GENERATING HIGH QUALITY GLIOBLASTOMA SUB-REGION SEGMENTATIONS

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi141-vi142
Author(s):  
Satyam Ghodasara ◽  
Ujjwal Baid ◽  
Spyridon Bakas ◽  
Michel Bilello ◽  
Suyash Mohan
Keyword(s):  
Artificial Intelligence ◽  
Diagnostic Methods ◽  
High Quality ◽  
Temporal Lobes ◽  
Signal Abnormality ◽  
Synergistic Approach ◽  
Mri Scans ◽  
Mri Sequences ◽  
Time Required

Abstract PURPOSE Artificial intelligence (AI) is poised to improve diagnostic methods in neuro-oncologic imaging and contribute to patient management by analyzing pre-operative MRI scans. AI results are better interpreted by compartmentalizing glioblastoma into distinct sub-regions, i.e., necrotic core, enhancing tumor, peritumoral T2/FLAIR signal abnormality (ED). Manual delineation of these sub-regions by expert neuroradiologists is impractical, requiring hours for intricate cases. Computer-aided segmentation (CAS) can mitigate this issue but is limited in the quality of the produced segmentations. We hypothesize that CAS followed by expert refinements is more practical/time-efficient. METHODS CAS was used on a total of 359 glioblastoma patients with four MRI sequences (T1, T1Gd, T2, T2-FLAIR) from each patient. All segmentations were sent to expert neuroradiologist annotators for manual refinements. Once refined, our team including two senior attending neuroradiologists with ≥13 years of experience each, reviewed and either approved or returned the segmentations to individual annotators for further refinements. Total time required to refine and review the finalized segmentations was measured. RESULTS Following one round of refinements by expert annotators, 244/359 (68%) segmentations were approved by our team while 115/359 (32%) segmentations contained a variety of errors that required a second round of refinements. The most common observed errors were 1) missed ED in the anterior/inferior temporal lobes and corpus callosum (37/115 cases, 32%) and 2) erroneous segmentation of normal choroid plexus and blood vessels (14/115 cases, 12%). The expert annotators required 120 hours to refine all 359 segmentations, and our team required 26 additional hours to review them, resulting in 24 minutes/segmentation following CAS. CONCLUSION Our findings support the value of a well-communicated annotation protocol to coordinate CAS and expert annotators. With CAS, our team and expert annotators rapidly finalized segmentations for 359 glioblastoma patients, demonstrating the value of a synergistic approach to creating high quality tumor sub-region segmentations.

ASSESSMENT OF LEVEL OF STUDENTS' SATISFACTION WITH QUALITY OF MANAGEMENT SERVICES IN PRIVATE STUDENT ACCOMMODATION

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Getrude Mampuru ◽  
Clinton Aigbavboa
Keyword(s):  
Student Satisfaction ◽  
Hot Water ◽  
Quality Of Services ◽  
Item Score ◽  
High Quality ◽  
Score Analysis ◽  
General Rules ◽  
Students Satisfaction ◽  
Management Services

This paper presents findings on students' satisfaction with one of the biggest private student accommodation in Johannesburg, South Africa. Management services play an important role in the level of student satisfaction. Without good management services and a poor interaction between student and management, the quality of services provided will have an adverse effect on the level of student satisfaction. In assessing overall student satisfaction, the quality of services offered to students is the significant element to be considered. Hence the purpose of this study was to determine the level of student satisfaction with the quality of management services provided to them in private student accommodations. Data that was received was analyzed by means of frequencies and tables, which employed the use of descriptive statistical procedures and Mean Item score. Analysis was based on the 58 useable questionnaires obtained from students out of 60 questionnaires issued. Findings from the study revealed that electricity supply, Wi-Fi connection, and general rules are among the most important aspect of student satisfaction/dissatisfaction with quality of management services. Thus, the study recommends that the management engages with students regarding their problems, and timely deal with arising complains. Furthermore, management should provide high quality Wi-Fi connection that will be suitable for all student accommodated, and also provide proper supply of electricity as well as increase the supply of hot water.

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