The article studies the impact of Fintech on entrepreneurship in Arabic region by using Crowdfunding platforms as the field of study. The article focuses on Arabic Crowdfunding platforms. The population of (12) platforms consist of: individuals, entrepreneurs, investors, employees at Crowdfunding platforms. Descriptive and quantitative approach used in this article, and a questionnaire used as a tool to collect primary data. The results indicate an impact for Fintech on entrepreneurship in general and obvious obstacles to use it widely (...) in Arabic region cause of legislations or e-payments. The article recommended more awareness for innovative products and services such as Fintech, Crowdfunding and adopting the culture of e-business models. Also the article promoting the process of developing regulations that organize e-business models, especially Fintech and Crowdfunding, the use of modern communication technology to serve the development of society, more interest to innovation and creativity as a key factor for entrepreneurial success. (shrink)

In the competitive and dynamic world of financial technology (fintech), high performance and low latency are crucial for real-time transactions and data processing. Microservices architecture, combined with efficient caching mechanisms, significantly enhances scalability and responsiveness. VMware GemFire, an in-memory data grid, provides robust caching solutions that, when paired with Java 17’s Z Garbage Collector (ZGC) and heap Least Recently Used (LRU) eviction strategies, can maximize cache performance. This paper proposes a system integrating GemFire with ZGC to optimize memory management, (...) reduce latency, and maintain high throughput. The heap LRU eviction strategy ensures that the least recently used data is evicted first when memory limits are reached, maintaining high cache hit rates and reducing the risk of the JVM running out of memory. By adjusting ZGC and using heap LRU eviction, this combined method makes it easier for microservices to handle changing workloads, grow horizontally, and speed up data access, which improves the overall performance and reliability of the system. Different settings for SoftMaxHeapSize have different effects on heap usage, operation throughput, and garbage collection performance. The results of the experiments show how to tune GemFire cache performance to work best in a microservices environment. (shrink)

Data-driven marketing is significantly changing customer interactions in the financial industry. It uses thorough data insights to inform business strategies. This article examines the role of data in fintech marketing, covering key challenges and effective methods to boost its impact. It emphasizes the importance of predictive analytics, omnichannel marketing, artificial intelligence (AI), and machine learning in improving marketing efficiency and delivering measurable returns on investment (ROI). Furthermore, the study highlights key performance indicators and new trends that fintech firms (...) need to adopt to remain competitive in the fast-paced digital environment. (shrink)

Artificial Intelligence in finance largely encompasses the utilization of Artificial Intelligence based techniques within economic enterprises. This field has attracted interest for many years, as evidenced by the general application of traditional AI techniques—like decision trees and linear regression—and modern techniques—like deep learning and reinforcement learning—across progressively larger spheres of the economy, society, and finance. Rather than just listing specific issues, features, and prospects in finance that have profited from these specific AI techniques—especially those arising from the fields of new-generation (...) AI and data science (AIDS)—this review attempts to offer an extensive and detailed road map of the challenging obstacles, methods, and prospects encountered in AI research in finance over the last few decades. The review begins by describing the circumstances and difficulties specific to financial data and processes. After that, it provides a thorough classification and concise overview of the development of AI research in finance over the previous few decades. This comprehensive classification and synopsis ought to engender trust in the data provided. It then organises and clarifies the processes of learning and data-driven analytics in financial operations. There is a comparison, analysis, and discussion of traditional versus contemporary AI methods designed for the banking industry. Finally, the review takes a forward-thinking approach by delving into the open issues and opportunities that are balanced to shape the trajectory of future AI-empowered finance and the intersection of finance-driven AI research. This exploration of future opportunities should inspire you to think ahead and consider the potential of AI in finance. (shrink)

Trong những năm gần đây, thị trường Công nghệ tài chính (Fintech) tại Việt Nam đã có những bước phát triển khá ấn tượng, thể hiện ở số lượng công ty Fintech, giá trị giao dịch không dùng tiền mặt… ngày càng tăng. Tuy nhiên, bên cạnh đó cũng còn một số tồn tại, hạn chế. Trên cơ sở phân tích thực trạng thị trường Fintech tại Việt Nam trong thời gian qua, bài viết đề xuất một (...) số giải pháp nhằm phát triển thị trường Fintech trong thời gian tới. (shrink)

FinTech -- along with the blockchain, other distributed ledger, smart contract, and tokenization usually assumed to accompany it -- could change the way governments procure goods and services. Procurement authorities and procurement law can play a vital role in the development of FinTech. They can help build the FinTech platforms and ecosystems that help them engage in public procurement. They should not try to procure such FinTech outright. At the national level, regulators should not just leave (...) FinTech rulemaking up to financial regulators. Contracting authorities should not just develop or use their own selected FinTech applications willy-nilly. They should contribute to overall changes in procurement law - which extend far beyond simple supervisory or regulatory technologies (RegTech/SupTech). Governments should get serious about the Agreement on Government Procurement and similar treaties - by creating a new authority to help develop the law needed to put FinTech-enabled procurement platforms in place. China’s own world-leading FinTech and cross-border public procurements do not always contribute to a global level playing field. Any FinTech applications facilitating public procurement should thus encourage compliance with the procurement law legal principles the international community has developed over decades. (shrink)

This paper reviews factors influencing Vietnamese youth’s adoption of Fintech, including technology access, perceived usefulness, government support, and financial literacy. While the Vietnamese government has promoted Fintech expansion through financial inclusion strategies and supportive regulations, gaps in financial education remain. Youth engagement with Fintech is shaped by ease of use, user innovativeness, and social influence, though financial risk concerns limit adoption. For sustained growth, focused financial literacy programs and regulatory improvements are essential to unlock Fintech’s potential (...) for economic development and financial inclusion among Vietnamese youth. (shrink)

Financiële technologische ontwikkeling, de zogeheten fintech, is hot en happening. De ontwikkelingen gaan snel maar leiden geregeld tot moreel kwetsbare praktijken. Een geautomatiseerd systeem de schuld geven van economische uitbuiting, uitsluiting en privacyschending is onzinnig. De auteurs gaan in op de vraag wat de rol van financiële ethiek (nog) is als de besluitvorming en gedragssturing bij en in het ontwerp van allerlei systemen (grotendeels) vooraf bepaald wordt. -/- Dit artikel is relevant voor financieel professionals die fintech vormgeven en/of (...) gebruiken. Helaas zijn er geen kant-en-klare oplossingen om moraliteit te programmeren. De auteurs roepen lezers daarom op om bij het managen van de nieuwe innovatiegolf te blijven streven naar vormen van goed bestuur en best practices. (shrink)

The rapid evolution of the financial sector, particularly in banking and fintech, necessitates continuous innovation in financial product development and testing. However, challenges such as data privacy, regulatory compliance, and the limited availability of diverse datasets often hinder the effective development and deployment of new products. This research investigates the transformative potential of AI-driven synthetic data generation as a solution for accelerating innovation in financial product development. Synthetic data, generated through advanced AI techniques such as Generative Adversarial Networks (GANs), (...) Variational Autoencoders (VAEs), and Transformer-based models, can simulate real-world financial scenarios with a high degree of fidelity while preserving privacy and compliance standards. The use of synthetic data enables financial institutions and fintech companies to conduct rigorous testing, modeling, and validation of new products and services without relying on sensitive customer data. By generating realistic yet artificial datasets, organizations can explore a broader range of scenarios, including rare or extreme market conditions, thus enhancing the robustness and reliability of their financial models. This paper provides a comprehensive analysis of the underlying methodologies for synthetic data generation, focusing on their application to financial product development. It delves into the specific architectures and frameworks used in generating synthetic data, including GANs, VAEs, and synthetic minority over-sampling techniques (SMOTE), and examines their respective advantages and limitations. The paper also addresses the critical issue of ensuring the quality and utility of synthetic data, emphasizing metrics such as statistical similarity, privacy preservation, and applicability to real-world use cases. The discussion extends to the ethical and regulatory implications of deploying AI-driven synthetic data in finance, highlighting the need for transparent and explainable AI models to ensure trust and compliance. Moreover, the research explores practical case studies where financial institutions and fintech firms have successfully implemented synthetic data to develop and test new products, demonstrating significant reductions in time-to-market and development costs. One of the key contributions of this research is the exploration of how AI-driven synthetic data generation can facilitate the development of innovative financial products such as algorithmic trading strategies, risk management tools, credit scoring models, and fraud detection systems. By simulating diverse market behaviors and customer interactions, synthetic data enables the fine-tuning of algorithms and models to achieve higher accuracy and performance. Additionally, the paper discusses the integration of synthetic data generation into existing financial data ecosystems, proposing a framework for leveraging hybrid datasets that combine synthetic and real data to optimize model training and validation. The potential for synthetic data to drive collaborative innovation in finance is also considered, as it allows multiple stakeholders, including banks, fintech startups, and regulators, to share and analyze data without compromising confidentiality or privacy. The research also addresses the limitations and challenges associated with synthetic data generation in the financial domain, including issues related to data representativeness, overfitting, and the potential misuse of synthetic datasets. It emphasizes the need for ongoing research to develop more sophisticated algorithms that can generate highly realistic and diverse financial data. Furthermore, it identifies areas for future exploration, such as the use of federated learning and differential privacy techniques to enhance the security and privacy of synthetic data generation processes. The findings of this paper underscore the importance of AI-driven synthetic data generation as a catalyst for innovation in banking and fintech, providing a secure, scalable, and cost-effective means to develop, test, and validate new financial products and services. As the financial industry continues to evolve, the role of synthetic data in shaping the future of financial product development will become increasingly critical, paving the way for more efficient and innovative financial solutions. (shrink)

The rapid digitalization of financial services has driven the adoption of artificial intelligence (AI) for automating decision-making, fraud detection, risk assessment, and personalized financial offerings. However, these AI models often require access to sensitive user data, leading to significant concerns around data privacy, security, and regulatory compliance. Federated Learning (FL) has emerged as a transformative approach to address these concerns by enabling collaborative model training across decentralized data sources without exposing raw data to central servers. This paper explores the application (...) of federated learning techniques specifically tailored for secure AI model training in the FinTech domain. We present an in-depth analysis of FL architecture, system design considerations, privacy-preserving mechanisms, and optimization strategies for heterogeneous and non-IID data distributions. Real-world use cases are studied to demonstrate the feasibility of integrating FL with existing financial systems. The evaluation also compares FL’s effectiveness against centralized models, considering parameters like model accuracy, data leakage resistance, and convergence performance. This work aims to provide FinTech developers and researchers with a practical blueprint for implementing secure and scalable federated AI systems that meet evolving data protection standards. (shrink)

This comprehensive article explores the multifaceted business value derived from adopting cloud computing solutions. It examines the economic impacts, operational efficiencies, and strategic advantages associated with cloud adoption, particularly focusing on the key areas of capital expenditures (CapEx), operational expenditures (OpEx), DevOps automation, and the fintech industry. Through detailed analysis, simulations, and case studies, the article aims to provide a robust understanding of how cloud technologies are transforming business landscapes and driving innovation.

With the threats from Fintech firms and regulators, would banks ever be dethroned from the crown? The answer to this question yet remains to be examined.

У статті розглянуто, як фінтех (FinTech) впливає на сучасне управління містами та як ці технології допомагають вирішувати глобальні міські виклики. Виявлено, що в сучасному місті фінтех використовують для оптимізації надання комунальних послуг, а через мобільні застосунки й онлайн-платформи мешканці міста легко сплачують рахунки за ці послуги та моніторять витрати. Фінтех також є важливим каталізатором реформ у сфері міських транспортних систем, через мобільні застосунки сьогодні можна замовити таксі, стежити за переміщенням міського транспорту, оплачувати проїзд, управляти транспортними потоками, що робить громадський (...) транспорт доступнішим і зручнішим для мешканців міст. Усе це дає змогу уникати заторів і поліпшити громадську безпеку. Встановлено функціональну детермінованість між сучасними фінансовими технологіями та управлінням містами, розкрито можливості, які надає фінтех для оптимізації процесів управління міською інфраструктурою. Проаналізовано кейси, як міста можуть використовувати фінансові технології для розв’язання своїх проблем і підвищення якості комунальних послуг. Розкрито проблематику впровадження фінтех-рішень для ефективного ухвалення управлінських рішень з аналізом врахування думки громадськості. Підкреслено важливість врахування фінансової стійкості міст під час використання інноваційних фінансових рішень для розвитку сучасних міст. Акцентовано увагу на розвитку інновацій та нових фінансових можливостей для міст і їхніх мешканців під час використання технологій для підвищення якості життя громадян та розвитку місцевої економіки. (shrink)

This paper endeavors to understand the research landscape of finance research in Vietnam during the period 2008 to 2020 and predict the key defining future research directions. Using the comprehensive database of Vietnam’s international publications in social sciences and humanities, we extract a dataset of 314 papers on finance topics in Vietnam from 2008 to 2020. Then, we apply a systematic approach to analyze four important themes: Structural issues, Banking system, Firm issues, and Financial psychology and behavior. Overall, there have (...) been three noticeable trends within finance research in Vietnam: (1) assessment of financial policies or financial regulation, (2) deciphering the correlates of firms’ financial performances, and (3) opportunities and challenges in adopting innovations and ideas from foreign financial market systems. Our analysis identifies several fertile areas for future research, including financial market analysis in the post-COVID-19 eras, fintech, and green finance. (shrink)

This document articulates the foundational principles, legal frameworks, and strategic imperatives underpinning the establishment of Imperium Romanum a sovereign Digital Nation-State. It aims to provide a comprehensive analysis grounded in international relations, legal theory, economics, and historical prece- dents. The focus is on addressing the existential threats posed by blockchain technology, AI, social impact bonds, digital identification systems, and social engineering practices that collectively risk transforming individuals into un- witting digital subjects—a violation of international laws prohibiting unlawful imprisonment and forced (...) labor. By asserting sovereignty over unclaimed territories such as Marie Byrd Land in Antarctica for research purposes, Imperium Romanum seeks to legitimize its physical presence in accordance with international law, including the Antarctic Treaty System. This document employs advanced legal argumentation, referenc- ing precedent cases and established legal theories, to advocate for the voluntary acceptance of citizenship within Imperium Romanum as a means to counteract the unstoppable technological innovations in Web3 and FinTech that threaten individual autonomy and liberty. (shrink)

The study aimed to measure the effect of Crowdfunding financing on entrepreneurship aspirations in Arabic region. Population consists of members in (15) Crowdfunding Arabic platforms which are working with all models and online at (2018). Descriptive approach and a questionnaire used as a tool for this research. The results showed that Crowdfunding financing effect positively on entrepreneurship aspirations, Crowdfunding used mostly to finance small business or microfinance and charity. Add to that, Crowdfunding leads to financial efficiency and costs reduction, more (...) flexible payments methods and more opportunities for entrepreneurs. The study recommended the importance of entrepreneurship culture and its role in promoting entrepreneurs, the effect off Fintech and various e-banking and e-payments methods, and the need of more interest in innovation and creativity. (shrink)

Huy động vốn qua công nghệ tài chính (Fintech) là hình thức huy động vốn rất phát triển tại nhiều quốc gia trên thế giới trong những năm gần đây, thể hiện được vai trò quan trọng đối với sự phát triển của các dự án khởi nghiệp và đổi mới sáng tạo. Tuy nhiên, tại Việt Nam, hoạt động huy động này vẫn còn rất sơ khai và cần nhiều chính sách hỗ trợ để phát triển tương xứng (...) với các quốc gia trong khu vực và trên thế giới. Bài viết đưa ra những khái niệm tổng quan về hoạt động huy động vốn qua Fintech, tổng hợp những bài học kinh nghiệm quốc tế về phát triển hệ sinh thái huy động vốn qua công nghệ tài chính, từ đó đưa ra một số đề xuất đối với nền kinh tế Việt Nam để phát triển hoạt động này. (shrink)

In today’s digital era, effective financial management is paramount for both individuals and businesses to ensure financial stability, informed decision-making, and long-term growth. The Expense Tracker project is designed as a comprehensive solution to streamline the process of tracking, managing, and analyzing expenditures. This system provides users with a structured, automated, and user-friendly platform to monitor their financial activities efficiently. By allowing users to record transactions, categorize expenses, set budgetary limits, and generate insightful spending reports, the application empowers them to (...) make informed financial decisions in real time. The Expense Tracker is built using React.js for an interactive and responsive front-end experience, Spring Boot for robust and scalable backend processing, and SQL for efficient and secure database management. This technology stack ensures seamless performance, secure data handling, and a smooth user experience. The system aims to eliminate manual errors associated with expense tracking while offering advanced analytics that provide valuable insights into spending habits. By leveraging data visualization and categorization techniques, users can identify unnecessary expenditures, optimize their budgets, and work toward financial goals more effectively. One of the key objectives of this project is to enhance financial planning by offering real-time analytics and notifications to help users stay within their budget limits. Additionally, the application is designed to be scalable and future-ready, with potential integrations of AI-driven financial insights to offer predictive expense recommendations and banking API integrations to automate transaction logging. These features will further enhance the system’s ability to assist users in maintaining financial discipline and improving their overall financial health. The Expense Tracker contributes to the rapidly evolving FinTech industry by delivering an innovative, intuitive, and secure financial management solution. By equipping users with comprehensive tools to oversee their financial activities, the application fosters better financial awareness, reduces overspending, and helps users gain full control over their monetary decisions. With a commitment to continuous improvement and adaptation to emerging financial technologies, this project serves as a stepping stone toward a more intelligent, automated, and data-driven financial ecosystem. (shrink)

Blockchain technology, originally developed to support Bitcoin and other cryptocurrencies, has evolved beyond its initial scope, showing immense potential to transform various sectors of the global economy. While cryptocurrencies remain the most prominent use case of blockchain, innovations such as smart contracts and decentralized applications (DApps) have expanded its applications, enabling decentralized finance (DeFi), supply chain management, and even legal agreements. This paper explores the evolution of blockchain from its origins in cryptocurrency to its broader applications, particularly in smart contracts. (...) It examines how blockchain is reshaping traditional systems in finance, law, and various industries, highlighting the opportunities, challenges, and future implications of these advancements. (shrink)