INTEGRATING AI WITH BLOCKCHAIN FOR ENHANCED FINANCIAL SERVICES SECURITY

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(3), P. 271 - 287

Published: March 9, 2024

Integrating artificial intelligence (AI) with blockchain technology presents a transformative approach to enhancing security in financial services. This fusion leverages the strengths of both AI and mitigate various risks, including fraud, data breaches, identity theft, thereby bolstering trust confidence transactions. abstract explores synergies between blockchain, highlighting their combined capabilities, applications, potential benefits for services industry. algorithms, machine learning natural language processing, empower institutions analyze vast amounts real-time, identifying patterns, anomalies, suspicious activities indicative fraudulent behavior. By integrating AI-powered fraud detection systems blockchain-based transactional networks, organizations can enhance transparency throughout entire ecosystem. Blockchain's immutable ledger ensures integrity traceability transactions, while algorithms provide advanced analytics predictive insights detect prevent effectively. Furthermore, AI-driven verification authentication digital transactions by accurately verifying user identities detecting unauthorized access attempts. AI-based biometric management solutions, streamline customer onboarding processes, security, protect sensitive information from access. Moreover, smart contracts automate enforce execution contractual agreements, reducing risk errors, disputes combining contract platforms technology, facilitate secure, transparent, tamper-proof eliminating intermediaries transaction costs. The integration also offers opportunities regulatory compliance solutions data, identify ensure adherence requirements. these reporting systems, transparency, auditability, oversight, fostering In conclusion, holds immense harnessing capabilities activities, authentication, compliance. underscores impact on services, paving way more efficient, trusted ecosystem.. Keywords: Al, Blockchain, Enhanced, Financial, Services Security.

Language: Английский

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Navigating the nexus of security and privacy in modern financial technologies

GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 18(2), P. 167 - 197

Published: Feb. 14, 2024

As the financial service sector rapidly evolves with integration of cutting-edge technologies, intersection security and privacy becomes paramount. This paper delves into intricate landscape issues within sector, offering a comprehensive analysis challenges opportunities presented by emerging technologies. From blockchain to artificial intelligence, explores vulnerabilities inherent in these innovations consequential threats sensitive data. Through an examination recent case studies, regulatory frameworks, technological advancements, this work aims provide nuanced understanding evolving threat landscape. Additionally, proposes strategic solutions best practices fortify architecture surrounding fostering resilient trustworthy ecosystem. research contributes ongoing dialogue imperative safeguarding systems, ensuring that innovation aligns seamlessly imperatives confidentiality, integrity, availability era where services advancements are inextricably linked.

Language: Английский

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Intelligent Manufacturing through Generative Artificial Intelligence, Such as ChatGPT or Bard

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This research paper explores the transformative possibilities arising from integration of ChatGPT, an advanced language model, into domain intelligent manufacturing. In face rapid changes in manufacturing landscape, there is increasing demand for adaptive and systems to elevate efficiency, productivity, decision-making processes. study investigates incorporation ChatGPT's or Bard cutting-edge natural processing capabilities various forefront aspects establish a novel paradigm The ChatGPT processes presents versatile approach tackle challenges seize opportunities within modern production systems. A pivotal aspect this lies augmenting human-machine collaboration factory. understanding facilitates seamless communication between human operators automated systems, fostering more intuitive responsive environment. Additionally, delves utilization predictive maintenance facilities. Through analysis historical data real-time information, can provide insights potential equipment failures, enabling proactive strategies that mitigate downtime optimize resource utilization. also application supply chain management. model's capacity process vast amounts textual contributes improved forecasting, inventory optimization, risk results resilient agile ecosystem capable adapting dynamic market conditions. Furthermore, role quality control defect detection. model analyze intricate patterns data, identifying anomalies defects with high degree accuracy. Integrating assurance ensures higher product quality, reducing waste, enhancing overall customer satisfaction. findings highlight revolutionize processes, propelling industry towards greater adaptability, competitiveness rapidly evolving global market.

Language: Английский

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Contribution of ChatGPT and Similar Generative Artificial Intelligence for Enhanced Climate Change Mitigation Strategies

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

The urgent acceleration of climate change necessitates the development innovative and adaptive mitigation strategies. This study investigates how ChatGPT or Bard, an advanced language model, enhances efforts to mitigate change. By leveraging natural processing machine learning, facilitates improved communication, collaboration, decision-making among stakeholders, thereby accelerating implementation paper begins by examining context change, emphasizing need for robust measures. It underscores limitations traditional approaches introduces transformative potential integrating into action frameworks. model's capacity analyze extensive datasets generate human-like text allows it comprehend intricate science, distill key insights, communicate them effectively. research identifies strategies that benefit from ChatGPT's intervention. One such strategy involves optimizing deployment renewable energy. assists in identifying optimal locations energy infrastructure, considering geographical climatic factors. Additionally, model aids developing sophisticated management systems, enhancing efficiency reliability sources. In sustainable agriculture, contributes providing real-time data analysis precision farming. helps farmers optimize resource utilization, minimize environmental impact, adopt climate-resilient agricultural practices. Moreover, formulating policies promote land use forest conservation. also explores role resilience through risk assessment adaptation planning. analyzing data, vulnerable regions targeted infrastructure resilience, disaster preparedness, community engagement. Furthermore, discusses fostering global collaboration. cross-border information exchange, knowledge sharing, formulation unified policies. collaborative approach is essential addressing transboundary nature achieving international goals. harnessing capabilities, stakeholders can unlock new dimensions innovation, paving way a more resilient future.

Language: Английский

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Enhancing water and air pollution monitoring and control through ChatGPT and similar generative artificial intelligence implementation

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This research delves into the utilization of advanced artificial intelligence (AI), specifically ChatGPT or Bard, to improve strategies for monitoring and controlling water air pollution. Given escalating concerns surrounding environmental degradation its repercussions on public health, there is a pressing demand innovative pollution management techniques. investigation centers harnessing capabilities ChatGPT, an language model, address real-time data analysis, decision-making, engagement challenges within realm quality. Incorporating cutting-edge methods in monitoring, such as sensor networks, satellite imagery, IoT devices, this aims obtain comprehensive understanding dynamics. Nevertheless, substantial volume presents processing extracting meaningful insights. employed intelligent tool proficient comprehending natural queries delivering insightful analyses. integration streamlines interpretation intricate sets, enabling swift decision-making control authorities. Moreover, assumes pivotal role by serving user-friendly interface disseminating information levels, regulatory measures, preventive actions. Through interactive conversations, it enhances communication between agencies general public, cultivating awareness encouraging participation initiatives. paper underscores significance collaborative human-AI approach tackling multifaceted The also ethical considerations associated with AI-driven emphasizing importance responsible AI implementation. As technologies progress, proposed framework contribute ongoing discourse sustainable involvement. By synergizing state-of-the-art techniques, seeks offer efficacious solution advancing contemporary landscape.

Language: Английский

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Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

The infusion of generative artificial intelligence (AI) stands out as a transformative influence in civil engineering, reshaping conventional methodologies and elevating the effectiveness precision across various domains. This study delves into nuanced impact ChatGPT, potent language model, key realms within engineering: Structural Engineering, Geotechnical Transportation Environmental Water Resources Urban Regional Planning, Materials Coastal Earthquake Engineering. Within ChatGPT assumes central role formulating refining structural designs. By deciphering intricate engineering concepts proposing inventive solutions, assists engineers crafting structures that not only exhibit resilience but also optimize resource utilization. Its proficiency scrutinizing extensive datasets delivering insights positions it an invaluable tool for augmenting integrity safety. Engineering benefits from ChatGPT's aptitude processing interpreting geological geophysical data. Through generation reports analyses, aids recognizing potential risks suggesting mitigation strategies, thereby expediting decision-making geotechnical projects. In realm application involves streamlining traffic flow, devising intelligent transportation systems, overall infrastructure planning. natural capabilities facilitate seamless communication collaboration among diverse stakeholders engaged contributes to evaluation environmental studies, assisting planners making well-informed decisions prioritizing sustainability. Moreover, its capability simulate scenarios formulation effective pollution control measures. leverages data interpretation modeling, enabling precise predictions water flow patterns aiding design efficient management systems. extends contributions where urban development optimizing land use, addressing challenges associated with population growth urbanization. prowess analysis materials enhanced properties, resilient coastal structures, creation earthquake-resistant infrastructure. research paper scrutinizes how integration these disciplines heightens efficiency practices unlocks new avenues innovation, sustainability, face evolving challenges.

Language: Английский

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LSTM stock prediction model based on blockchain

High-Confidence Computing, Journal Year: 2025, Volume and Issue: unknown, P. 100316 - 100316

Published: March 1, 2025

Language: Английский

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The role of finance, technology, and growth policies in shaping sustainable mineral and natural gas management: Utilizing dynamic auto-regressive distributed lag (ARDL) and frequency domain causality (FDC) models

Energy & Environment, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

Since the onset of Industrial Revolution, financial sector has emerged as a substantial contributor to advancement human society. Nevertheless, providing support for environmentally detrimental projects raised numerous questions regarding establishing direct connection between market instruments and their impact on environment. This study summarizes key findings insights from comprehensive analysis natural resources, including minerals gas, various economic indicators across G20 countries. By focusing complex relationship resource abundance performance, shedding light significance responsible management sustainability practices. Mineral resources have been shown influence Foreign Direct Investment (FDI), trade, technology adoption, net trade. Abundant attract FDI inflows, leading growth, while mineral exports contribute positively trade balances development. However, outflows can be influenced by factors, emphasizing need diversified economies sustainable management. Natural gas plays significant role in shaping indicators, FDI, transport services exports, goods export services, technology, grants technology. reserves foreign investment drive stimulating sectors. The adoption advanced energy industry is fostered but depends global dynamics. Responsible management, diversification, practices are crucial harnessing benefits ensuring environmental stability. provides valuable policymakers stakeholders navigating complexities resource-driven working toward prosperous futures.

Language: Английский

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Трансформуючий вплив штучного інтелекту та блокчейну на виявлення та протидію незаконних економічних операцій

Проблеми сучасних трансформацій Серія економіка та управління, Journal Year: 2025, Volume and Issue: 18

Published: April 3, 2025

Поширення цифрових транзакцій полегшило економічну діяльність, але водночас збільшило ризик незаконних фінансових потоків. Нині штучний інтелект та блокчейн стали потужними інструментами для посилення фінансової безпеки боротьби з незаконною діяльністю. Метою статті є аналіз впливу інформаційних технологій на виявлення протидію економічних операцій, а саме тіньову економіку, корупцію кібершахрайства. У роботі проведено критичний сучасних наукових праць основі відкритих публікацій, аналітичних звітів міжнародних організацій визначення основних сфер використання штучного інтелекту блокчейну у сфері протидії операцій. На даних про 126 країн світу ідентифіковано 2 групи за рівнем операцій шляхом методу k-середніх кластерного аналізу. Кластери мають суттєві відмінності значення рівня тіньової економіки індексу сприйняття корупції. Середнє корупції першого кластеру становить 62,52 ум.од., тоді як другого цей показник значно нижчий і складає 33,61 ум.од. Для перевірки наявності функціонального зв’язку між розвитку незаконної діяльності розрізі 2-х кластерів використано кореляційний аналіз. Аналіз кореляційних зв’язків засвідчив, що розвиток більшою мірою сприяє зниженню в країнах із високим прозорості низькою корупцією. низьким спостерігається сильний позитивний зв’язок розвитком індексом корупції, свідчить ефективність боротьбі . Вплив рівень сильніший діяльності, менш виражений.

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AI and Financial Risk Management

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 281 - 306

Published: April 8, 2025

Artificial Intelligence (AI) is revolutionizing financial risk management by improving identification, assessment, and mitigation through machine learning, natural language processing (NLP), predictive analytics. Traditional methods struggle with scalability real-time analysis, while AI-driven models enhance accuracy, automate assessments, optimize decision-making. This chapter explores AI's applications in credit evaluation, fraud detection, market modeling, portfolio optimization, regulatory compliance, enabling institutions to proactively address risks. AI enhances detection identifying anomalies, improves modeling sentiment analysis forecasting, streamlines compliance automated monitoring. Despite benefits, poses challenges like data privacy, algorithmic bias, model interpretability. The study discusses ethical considerations, Explainable (XAI), AI-blockchain integration, edge computing, ESG shaping the future of management.

Language: Английский

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