Computers & Security, Journal Year: 2024, Volume and Issue: unknown, P. 104295 - 104295
Published: Dec. 1, 2024
Language: Английский
Published: Jan. 1, 2025
This study aims to assess how FinTech facilitates sustainable finance (SF) for small- and medium-sized enterprises (SMEs). Therefore, the identified several solutions, including blockchain, artificial intelligence (AI), digital banking payment systems, crowdfunding peer-to-peer (P2P) lending, that facilitate SF SMEs. The research indicates helps financial institutions provide effectively efficiently Blockchain technology is effective transparent secure transactions because it can narrow credit gaps, lower information asymmetry, increase availability of funds, improve evaluation processes, promote inclusion. AI applied identify fraud, anticipate mitigate environmental, social, governance (ESG)-related events, enhance risk management programs through use different methods such as behavioral modeling, sequential clustering. Crowdfunding connects funders with campaigns. Business owners start-up founders are able communicate investors regarding their companies via crowdsourcing website, which serves a place collect input from other people online. Smart contracts decentralized, verifiable, auto-enforcing features allow encoded business rules be carried out in P2P network without assistance single server or believed authority. successful case studies validate our study. Finally, provides significant policy regulatory implications all stakeholders.
Language: Английский
Citations
4
International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(8), P. 1612 - 1641
Published: Aug. 3, 2024
The integration of artificial intelligence (AI) in developing software solutions marks a pivotal advancement enhancing accessibility for individuals with disabilities. This paper explores the transformative potential AI-driven technologies designed to empower those physical, sensory, and cognitive impairments. AI's capability learn adapt diverse user needs enables creation personalized intuitive applications, offering unprecedented levels independence inclusion. encompass various innovations, including speech recognition, natural language processing (NLP), computer vision. Speech recognition facilitate communication hearing impairments by converting spoken into text vice versa. NLP advancements have enabled development sophisticated text-to-speech systems, which can read aloud content visually impaired users, prediction tools that assist users motor typing efficiently. Furthermore, vision technology provides real-time image video aiding navigating their environment identifying objects. These are integrated everyday devices platforms, significantly utility accessibility. For instance, AI-powered screen readers voice assistants now embedded smartphones computers, providing seamless access information digital services. Educational leveraging AI ensures learning materials accessible all students, regardless disabilities, tailored support. impact extends beyond personal empowerment societal By enabling greater participation education, employment, social activities, these help bridge gap between disabilities peers. Companies organizations benefit from talents perspectives more inclusive workforce, driving innovation economic growth. However, implementation also present challenges. Ensuring data privacy security, avoiding bias algorithms, maintaining affordability user-friendliness critical considerations. Ongoing research, collaboration among stakeholders, design practices essential address challenges maximize benefits In conclusion, revolutionizing way interact world. harnessing power AI, offer opportunities independence, inclusion, empowerment, ultimately contributing equitable society. Keywords: Al-Driven, Accessibility, Transformative, Disabilities, Empowering.
Language: Английский
Citations
14
Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 1751 - 1779
Published: Aug. 3, 2024
Achieving comprehensive code quality and ensuring software reliability are critical goals in modern engineering. This paper delves into advanced strategies that encompass both technical organizational practices, aiming to enhance boost reliability. Key include the implementation of rigorous review processes, adoption automated testing frameworks, utilization static dynamic analysis tools. Firstly, processes fundamental for maintaining high standards quality. By fostering a collaborative environment where peer reviews routine, teams can catch potential issues early, ensure adherence coding standards, promote knowledge sharing. practice not only improves but also enhances team cohesion expertise. Secondly, frameworks indispensable achieving test coverage reducing incidence bugs. Unit tests, integration end-to-end when automated, provide continuous feedback changes do introduce new defects. approach is crucial reliability, especially agile DevOps environments rapid iterations common. Furthermore, tools development pipeline offers additional layers assurance. Static inspect codebase vulnerabilities, smells, compliance with without executing program. Dynamic tools, on other hand, evaluate during runtime detect memory leaks, concurrency issues, performance bottlenecks. Together, these assessment code’s health Moreover, culture improvement learning within essential. Regular training sessions, workshops, knowledge-sharing activities help keeping updated latest advancements engineering practices Encouraging mindset quality-first among developers ensures long-term benefits sustainability. In conclusion, require multifaceted integrates reviews, Coupled strong improvement, collectively contribute robust, reliable, high-quality systems. Keywords: Software Reliability, Code Quality, Advanced, Strategies, Comprehensive.
Language: Английский
Citations
4
International Journal of Multidisciplinary Research and Growth Evaluation, Journal Year: 2025, Volume and Issue: 6(1), P. 318 - 327
Published: Jan. 1, 2025
In the fast-paced and highly competitive telecommunications industry, efficient project management is crucial to maintaining operational excellence achieving strategic objectives. Advanced technologies are increasingly being leveraged enhance practices, driving improvements in efficiency, accuracy, adaptability. This paper explores how cutting-edge tools methodologies revolutionizing telecommunications, leading more effective planning, execution, control of projects. One primary transforming Artificial Intelligence (AI). AI-powered enable managers automate routine tasks, optimize resource allocation, predict outcomes with greater accuracy. Machine learning algorithms analyze historical data identify patterns forecast potential risks, allowing proactively mitigate issues before they escalate. AI also facilitates real-time decision-making by providing actionable insights recommendations based on analytics. Another significant advancement adoption cloud computing platforms. These platforms provide scalable flexible solutions that support collaboration sharing across dispersed teams. Cloud-based seamless integration various functions, such as scheduling, budgeting, performance tracking, ensuring all stakeholders have access up-to-date information can collaborate effectively regardless their location. The Internet Things (IoT) making a substantial impact telecommunications. IoT devices sensors collect from network infrastructure field operations, valuable into system utilization. data-driven approach enhances accuracy planning monitoring, enabling use assets timely identification issues. Furthermore, blockchain technology explored for its improve transparency security processes. Blockchain's decentralized immutable ledger ensures securely recorded easily auditable, reducing risk fraud enhancing trust among stakeholders. conclusion, advanced AI, computing, IoT, sector. offer benefits terms collaboration, telecom companies manage complex projects stay rapidly evolving industry. By leveraging these tools, ensure successful delivery, use, achieve goals agility precision.
Language: Английский
Citations
0
Journal of financial reporting & accounting, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Purpose This paper aims to explore the factors influencing auditors’ willingness learn and use artificial intelligence (AI) technologies in auditing. study extended Unified Theory of Acceptance Use Technology by incorporating as a key factor for AI adoption Design/methodology/approach Data were collected through validated questionnaires form 150 auditors selected via simple random sampling from population 300 statutory auditors. Partial least squares structural equation modeling was used analyze relationships between variables. Findings finds that performance expectancy effort significantly positively influence technologies. However, social does not impact their willingness. A positive relationship is observed actual auditing process. Practical implications The findings suggest need government, professional associations universities seeking develop AI-focused training programs incorporate into curricula, ensuring accounting students are equipped meet future demands. Originality/value contributes new insights adopt technologies, focusing on Jordanian addressing gap literature related within developing economies.
Language: Английский
Citations
0
Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(8), P. 1320 - 1348
Published: Aug. 3, 2024
Advancing financial inclusion and fostering technological innovation through cutting-edge software engineering are paramount in addressing the global disparities access to services. This paper explores critical role of revolutionizing sector, particularly enhancing for underserved populations. Financial inclusion, which ensures that individuals businesses have useful affordable products services, is a cornerstone economic development. Despite its importance, significant portion population remains unbanked or underbanked, primarily due limited traditional banking infrastructure. Technological innovation, driven by advancements engineering, presents transformative solution this challenge. Cutting-edge practices at forefront developing robust, scalable, secure solutions. Mobile applications, instance, leverage sophisticated architectures provide seamless services users remote areas. These applications facilitate various transactions, including money transfers, bill payments, savings, thereby integrating into formal system. Additionally, blockchain technology, underpinned advanced offers decentralized platform transactions. Blockchain's inherent transparency security features make it an ideal tool trust reducing fraud By enabling low-cost cross-border technology significantly contributes making accessible those previously excluded. Artificial Intelligence (AI) machine learning, powered algorithms, further enhance providing personalized AI-driven chatbots virtual assistants offer 24/7 customer support, ensuring constant guidance. Moreover, AI algorithms analyze user data tailored products, such as customized loan investment advice, meeting unique needs diverse users. promising potential, integration these technologies faces challenges, privacy navigating regulatory landscapes. However, strategic collaboration between institutions, providers, bodies, challenges can be mitigated. In conclusion, advancing not only bridges gap but also drives more inclusive economically empowered society. Keywords: Inclusion, Innovation, Advancing, Software Engineering, Cutting-Edge.
Language: Английский
Citations
2
GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 20(1), P. 376 - 380
Published: July 30, 2024
The winds of change are sweeping through the business landscape, propelled by transformative power artificial intelligence (AI). This integration isn't merely a technological upgrade; it's paradigm shift, unlocking treasure trove opportunities for companies to achieve unprecedented growth, efficiency, and innovation. Imagine AI-powered systems that analyze vast amounts data, identify new market opportunities, predict customer behavior with uncanny accuracy, even automating tedious tasks associated lead generation qualification. is future AI promises, brimming potential. However, path this not without its challenges. immense comes critical responsibility: ensuring ethical responsible use. review paper delves into considerations businesses must navigate as they integrate their development strategies, exploring potential pitfalls like bias in algorithms, data privacy concerns, job displacement. But fear not, doesn't just challenges; it also proposes practical solutions these complexities effectively. By acknowledging algorithms taking proactive steps mitigate it, can ensure fairness inclusivity AI-driven decision-making. team scientists meticulously scrutinizing training removing skewed information could discriminatory outcomes or targeting. commitment practices fosters trust ensures used good. Data another paramount concern age AI. As collect have responsibility safeguard information. robust security measures place, protecting sensitive encryption protocols access controls. Furthermore, fostering transparency about collection obtaining explicit consent from customers builds demonstrates stewardship. specter displacement looms large discussion While automation powered might replace some repetitive tasks, important remember creates opportunities. world where handles scoring qualification, freeing up human developers focus on high-value activities strategic relationship building closing deals. investing retraining programs culture continuous learning, empower workforce adapt thrive evolving landscape.
Language: Английский
Citations
1
Computers & Security, Journal Year: 2024, Volume and Issue: unknown, P. 104295 - 104295
Published: Dec. 1, 2024
Language: Английский
Citations
0