Machine Learning in Finance: Applications, Risks, and Opportunities
Abstract
This paper examines the applications, risks, and opportunities of machine learning (ML) in finance. It discusses ML techniques employed in financial modeling, risk assessment, trading strategies, and fraud detection. The paper evaluates the impact of ML on financial markets, regulatory compliance, and the ethical implications of algorithmic decision-making in finance.
References
Yalamati, S. (2024). Impact of Artificial Intelligence in supervision of enterprises reduce tax avoidance. Transactions on Latest Trends in Artificial Intelligence, 5(5).
Palakurti, N. R. (2023). Governance Strategies for Ensuring Consistency and Compliance in Business Rules Management. Transactions on Latest Trends in Artificial Intelligence, 4(4).
Yalamati, S., & Batchu, R. K. (2024). Smart Data Processing: Unleashing the Power of AI and ML. In Practical Applications of Data Processing, Algorithms, and Modeling (pp. 205-221). IGI Global.
Palakurti, N. R. (2023). The Future of Finance: Opportunities and Challenges in Financial Network Analytics for Systemic Risk Management and Investment Analysis. International Journal of Interdisciplinary Finance Insights, 2(2), 1-20.
Yalamati, S. (2023). Revolutionizing Digital Banking: Unleashing the Power of Artificial Intelligence for Enhanced Customer Acquisition, Retention, and Engagement. International Journal of Managment Education for Sustainable Development, 6(6), 1-20.
Palakurti, N. R. (2024). Bridging the Gap: Frameworks and Methods for Collaborative Business Rules Management Solutions. International Scientific Journal for Research, 6(6), 1-22.
Yalamati, S. (2023). Identify fraud detection in corporate tax using Artificial Intelligence advancements. International Journal of Machine Learning for Sustainable Development, 5(2), 1-15.
Palakurti, N. R. (2022). Empowering Rules Engines: AI and ML Enhancements in BRMS for Agile Business Strategies. International Journal of Sustainable Development Through AI, ML and IoT, 1(2), 1-20.
Yalamati, S. (2023). Artificial Intelligence influence in individual investors performance for capital gains in the stock market. International Scientific Journal for Research, 5(5), 1-24.
Palakurti, N. R., & Kolasani, S. (2024). AI-Driven Modeling: From Concept to Implementation. In Practical Applications of Data Processing, Algorithms, and Modeling (pp. 57-70). IGI Global.
Yalamati, S. (2024). Data Privacy, Compliance, and Security in Cloud Computing for Finance. In Practical Applications of Data Processing, Algorithms, and Modeling (pp. 127-144). IGI Global.
Palakurti, N. R. (2023). Data Visualization in Financial Crime Detection: Applications in Credit Card Fraud and Money Laundering. International Journal of Managment Education for Sustainable Development, 6(6), 1-19.
Yalamati, S., & Vaddy, R. K. (2024). Algorithmic Insights: Exploring AI and ML in Practical Applications. In Practical Applications of Data Processing, Algorithms, and Modeling (pp. 30-43). IGI Global.
Palakurti, N. R. (2023). Next-Generation Decision Support: Harnessing AI and ML within BRMS Frameworks. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-10.
Yalamati, Sreedhar. Enhance banking systems to digitalize using advanced artificial intelligence techniques in emerging markets. International Scientific Journal for Research 5.5 (2023): 1-24.
Palakurti, N. R. (2024). Intelligent Security Solutions for Business Rules Management Systems: An Agent-Based Perspective. International Scientific Journal for Research, 6(6), 1-20.
Yalamati, S. (2024). Data Privacy, Compliance, and Security in Cloud Computing for Finance. In Practical Applications of Data Processing, Algorithms, and Modeling (pp. 127-144). IGI Global.
Palakurti, N. R. (2024). Challenges and Future Directions in Anomaly Detection. In Practical Applications of Data Processing, Algorithms, and Modeling (pp. 269-284). IGI Global.
Gutta, L. M. (2024). A Systematic Review of Cloud Architectural Approaches for Optimizing Total Cost of Ownership and Resource Utilization While Enabling High Service Availability and Rapid Elasticity. International Journal of Statistical Computation and Simulation, 16(1), 1-20.
Gutta, L. M., Bammidi, T. R., Batchu, R. K., & Kanchepu, N. (2024). REAL-TIME REVELATIONS: ADVANCED DATA ANALYSIS TECHNIQUES. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-22.
Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.
Gutta, L. M. (2023). Achieving Operational Excellence in Cloud Management: Practical Evaluation of Infrastructure as Code and the Well-Architected Framework's Adoption to Improve Process Maturity. International Journal of Managment Education for Sustainable Development, 6(6), 1-19.
Gutta, L. M. (2023). A Reproducible Quantitative Evaluation of DevSecOps Practices and Their Effects on Improving the Agility and Reliability of Healthcare Software Development. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-14.
Kolasani, S. (2024). Revolutionizing manufacturing, making it more efficient, flexible, and intelligent with Industry 4.0 innovations. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-17.
Kolasani, S. (2023). Blockchain-driven Supply Chain Innovations and Advancement in Manufacturing and Retail industries. Transactions on Latest Trends in IoT, 6(6), 1-26.
Kolasani, S. (2023). Optimizing Natural Language Processing, Large Language Models (LLMs) for Efficient Customer Service, and hyper-personalization to enable sustainable growth and revenue. Transactions on Latest Trends in Artificial Intelligence, 4(4).
Kolasani, S. (2023). Innovations in digital, enterprise, cloud, data transformation, and organizational change management using agile, lean, and data-driven methodologies. International Journal of Machine Learning and Artificial Intelligence, 4(4), 1-18.
Kolasani, S. (2023). Leadership in business innovation and transformation, navigating complex digital landscapes and enterprise technology ecosystems and achieving sustainable growth in today’s rapidly evolving market. International Journal of Holistic Management Perspectives, 4(4), 1-23.
Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.
Samayamantri, L. S. (2023). Personalized B2B2C Business model. International Journal of Sustainable Development in Computing Science, 5(4), 1-17.
Samayamantri, L. S. (2023). Cognitive Affiliate Platforms: Revolutionizing Marketing Strategies through AI-driven Intelligence. International Machine learning journal and Computer Engineering, 6(6), 1-9.
Samayamantri, L. S. (2023). Transforming Industry through Innovation: A Comprehensive Study of Cognitive-First Digital Factory Implementations and their Impact on Manufacturing Efficiency. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-19.
Kotagiri, A., & Yada, A. (2024). Improving Fraud Detection in Banking Systems: RPA and Advanced Analytics Strategies. International Journal of Machine Learning for Sustainable Development, 6(1), 1-20.
Kotagiri, A., & Yada, A. (2024). Crafting a Strong Anti-Fraud Defense: RPA, ML, and NLP Collaboration for resilience in US Finance’s. International Journal of Managment Education for Sustainable Development, 7(7), 1-15.
Kotagiri, A. (2024). AML Detection and Reporting with Intelligent Automation and Machine learning. International Machine learning journal and Computer Engineering, 7(7), 1-17.
Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.
Kotagiri, A. (2023). Mastering Fraudulent Schemes: A Unified Framework for AI-Driven US Banking Fraud Detection and Prevention. International Transactions in Artificial Intelligence, 7(7), 1-19.
Settibathini, V. S., Kothuru, S. K., Vadlamudi, A. K., Thammreddi, L., & Rangineni, S. (2023). Strategic Analysis Review of Data Analytics with the Help of Artificial Intelligence. International Journal of Advances in Engineering Research, 26, 1-10.
krishna Vaddy, R. (2023). Artificial intelligence (AI) and machine learning driving efficiency and automation in supply chain Transportation. International Journal of Managment Education for Sustainable Development, 6(6), 1-20.
krishna Vaddy, R. (2023). Future of AI/ML in Digital commerce and Supply chain. International Transactions in Artificial Intelligence, 7(7), 1-19.
krishna Vaddy, R. (2023). AI and ML for Transportation Route Optimization. International Transactions in Machine Learning, 5(5), 1-19.
Oku, K., krishna Vaddy, R., Yada, A., & Batchu, R. K. (2024). DATA ENGINEERING EXCELLENCE: A CATALYST FOR ADVANCED DATA ANALYTICS IN MODERN ORGANIZATIONS. International Journal of Creative Research In Computer Technology and Design, 6(6), 1-10.
Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.
Kotagiri, A., & Yada, A. (2024). Crafting a Strong Anti-Fraud Defense: RPA, ML, and NLP Collaboration for resilience in US Finance’s. International Journal of Managment Education for Sustainable Development, 7(7), 1-15.
Kotagiri, A., & Yada, A. (2024). Improving Fraud Detection in Banking Systems: RPA and Advanced Analytics Strategies. International Journal of Machine Learning for Sustainable Development, 6(1), 1-20.
Yada, A. (2024). Predictive Policing: Assessing the Ethical Implications and Effectiveness Using Data Analytics. International Journal of Sustainable Development in Computing Science, 1(1), 1-17.
Oku, K., krishna Vaddy, R., Yada, A., & Batchu, R. K. (2024). DATA ENGINEERING EXCELLENCE: A CATALYST FOR ADVANCED DATA ANALYTICS IN MODERN ORGANIZATIONS. International Journal of Creative Research In Computer Technology and Design, 6(6), 1-10.
Yada, A. (2023). Analyzing the Economic Impact of the COVID-19 Pandemic: Insights from Data Analytics. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-15.
Bammidi, T. R. (2023). Transforming Credit Assessment: The Power of Artificial Intelligence. International Journal of Interdisciplinary Finance Insights, 2(2), 1-14.
Bammidi, T. R. (2023). Performance Strategies for NoSQL Databases: Enhancing API Responsiveness in High-Throughput Environments. International Journal of Interdisciplinary Finance Insights, 2(2), 1-19.
Bammidi, T. R. (2023). Enhanced Cybersecurity: AI Models for Instant Threat Detection. International Machine learning journal and Computer Engineering, 6(6), 1-17.
Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.
Gutta, L. M., Bammidi, T. R., Batchu, R. K., & Kanchepu, N. (2024). REAL-TIME REVELATIONS: ADVANCED DATA ANALYSIS TECHNIQUES. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-22.
Singhal, S., Kothuru, S. K., Sethibathini, V. S. K., & Bammidi, T. R. (2024). ERP EXCELLENCE A DATA GOVERNANCE APPROACH TO SAFEGUARDING FINANCIAL TRANSACTIONS. International Journal of Managment Education for Sustainable Development, 7(7), 1-18.
Oku, K., krishna Vaddy, R., Yada, A., & Batchu, R. K. (2024). DATA ENGINEERING EXCELLENCE: A CATALYST FOR ADVANCED DATA ANALYTICS IN MODERN ORGANIZATIONS. International Journal of Creative Research In Computer Technology and Design, 6(6), 1-10.
Krishnamurthy, O. (2023). Genetic Algorithms, Data Analytics and it’s applications, Cybersecurity: verification systems. International Transactions in Artificial Intelligence, 7(7), 1-25.
Krishnamurthy, O. (2023). A mathematical approach (matrix multiplication), General data science. International Journal of Sustainable Development in Computing Science, 5(2), 1-22.
Batchu, R. K. (2024). Digital Transformation in Banking: Navigating the Technological Frontier. International Machine learning journal and Computer Engineering, 7(7), 1-13.
Gutta, L. M., Bammidi, T. R., Batchu, R. K., & Kanchepu, N. (2024). REAL-TIME REVELATIONS: ADVANCED DATA ANALYSIS TECHNIQUES. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-22.
Oku, K., krishna Vaddy, R., Yada, A., & Batchu, R. K. (2024). DATA ENGINEERING EXCELLENCE: A CATALYST FOR ADVANCED DATA ANALYTICS IN MODERN ORGANIZATIONS. International Journal of Creative Research In Computer Technology and Design, 6(6), 1-10.
Batchu, R. K. (2023). The Impact of Fintech Integration on Traditional Banking: A Comparative Analysis. International Journal of Interdisciplinary Finance Insights, 2(2), 1-24.
Batchu, R. K. (2023). Artificial Intelligence in Credit Risk Assessment: Enhancing Accuracy and Efficiency. International Transactions in Artificial Intelligence, 7(7), 1-24.
Krishnamurthy, O. (2023). A mathematical approach (matrix multiplication), General data science. International Journal of Sustainable Development in Computing Science, 5(2), 1-22.
Pillai, S. E. V. S., & Polimetla, K. (2024, February). Privacy-Preserving Network Traffic Analysis Using Homomorphic Encryption. In 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-6). IEEE.
Pillai, S. E. V. S., & Polimetla, K. (2024, February). Mitigating DDoS Attacks using SDN-based Network Security Measures. In 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-7). IEEE.
Pansara, Ronak. "“MASTER DATA MANAGEMENT IMPORTANCE IN TODAY’S ORGANIZATION." International Journal of Management (IJM)12.10 (2021).
Ronak Pansara, Master Data Management Challenges, International Journal of Computer Science and Mobile Computing, Vol.10 Issue.10, October- 2021, pg. 47-49
Pansara, R. (2023). MDM Governance Framework in the Agtech & Manufacturing Industry. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.
Pansara, R. (2023). From Fields to Factories A Technological Odyssey in Agtech and Manufacturing. International Journal of Managment Education for Sustainable Development, 6(6), 13-23.
Pansara, R. (2023). Navigating Data Management in the Cloud-Exploring Limitations and Opportunities. Transactions on Latest Trends in IoT, 6(6), 57-66.
Pansara, R. (2023). Review & Analysis of Master Data Management in Agtech & Manufacturing industry. International Journal of Sustainable Development in Computing Science, 5(3), 51-59.
Pansara, R. (2023). Unraveling the Complexities of Data Governance with Strategies, Challenges, and Future Directions. Transactions on Latest Trends in IoT, 6(6), 46-56.
Pansara, R. R. (2023). Importance of Master Data Management in Agtech & Manufacturing Industry.
Pansara, R. R. Master Data Management important for maintaining data accuracy, completeness and consistency.
Pansara, R. (2023). Seeding the Future by Exploring Innovation and Absorptive Capacity in Agriculture 4.0 and Agtechs. International Journal of Sustainable Development in Computing Science, 5(2), 46-59. Retrieved from https://ijsdcs.com/index.php/ijsdcs/article/view/347
Pansara, R. (2023). Cultivating Data Quality to Strategies, Challenges, and Impact on Decision-Making. International Journal of Managment Education for Sustainable Development, 6(6), 24-33. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/356
Pansara, R. R. (2021). Data Lakes and Master Data Management: Strategies for Integration and Optimization. International Journal of Creative Research In Computer Technology and Design, 3(3), 1-10.
Pansara, R. (2021). Master Data Management Challenges. International Journal of Computer Science and Mobile Computing, 10(10), 47-49.
Pansara, R. R. (2022). Edge Computing in Master Data Management: Enhancing Data Processing at the Source. International Transactions in Artificial Intelligence, 6(6), 1-11.
Priyanka Koushik, S. M. (2024). Elevating Customer Experiences and Maximizing Profits with Predictable Stockout Prevention Modelling. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1171–1178. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5547
Sumit Mittal, "Framework for Optimized Sales and Inventory Control: A Comprehensive Approach for Intelligent Order Management Application," International Journal of Computer Trends and Technology, vol. 72, no. 3, pp. 61-65, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I3P109
Singh, K. Artificial Intelligence & Cloud in Healthcare: Analyzing Challenges and Solutions Within Regulatory Boundaries.
