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AWS AI from Financial Services Transforming Risk Management and Investment Strategies

© 2024 by IJACT

Volume 2 Issue 3

Year of Publication : 2024

Author : Anusha Medavaka

:10.56472/25838628/IJACT-V2I3P111

Citation :

Anusha Medavaka, 2024. "AWS AI from Financial Services Transforming Risk Management and Investment Strategies" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 2, Issue 3: 116-130.

Abstract :

AI has developed at a very fast pace and has impacted different sectors, including the financial services sector. AI in AWS has been seen as a revolutionary approach in the field of risk modelling and investment planning, giving heretofore inaccessible information and prognosis. The paper also aims to find out how AWS AI can be implemented in financial services, especially in risk management and investments. AWS AI gives an opportunity to improve decision-making processes, portfolio, and risk management in financial institutions by making use of big data analytics, machine learning algorithms, and cloud computing. The abstract then identifies some of the primary concepts of AWS AI, like the Amazon Sage Maker, AWS Lambda, and Amazon Redshift and how they are applied in a given financial modeling, fraud detection and market analysis. Furthermore, the paper revolves around case studies that have been adopted to explain how AWS AI has been useful in financial institutions, as well as the strengths, weaknesses, and trends as we speak in the increasing subfield of AI. The abstract ends with the call to implement AI- based solutions to sustain competitiveness in the rapidly changing financial environment.

References :

[1] Dewasiri, N. J., & Yadav, M. (2024). Transforming Financial Management with Cloud Computing: Strategies, Benefits, and Innovations. In Driving Transformative Technology Trends with Cloud Computing (pp. 116-135). IGI Global.

[2] Kaswan, K. S., Dhatterwal, J. S., Kumar, N., & Lal, S. (2023). Artificial intelligence for financial services. In Contemporary Studies of Risks in Emerging Technology, Part A (pp. 71-92). Emerald Publishing Limited.

[3] Adeyeri, T. B. (2024). Economic Impacts of AI-Driven Automation in Financial Services. Valley International Journal Digital Library, 6779-6791.

[4] Unigwe, O. P. (2021). Exploring Risk Management Strategies for Transitioning to Cloud within Financial Services Industry: A Grounded Theory Study. Capitol Technology University.

[5] Ranković, M., Gurgu, E., Martins, O., & Vukasović, M. (2023). Artificial intelligence and the evolution of finance: opportunities, challenges and ethical considerations. EdTech Journal, 3(1), 20- 23.

[6] Fregly, C., & Barth, A. (2021). Data Science on AWS. “O’Reilly Media, Inc.".

[7] Ganguly, S., Harreis, H., Margolis, B., & Rowshankish, K. (2017). Digital risk: Transforming risk management for 2020 s. McKinsey & Company.

[8] Deubelli, T. M., & Mechler, R. (2021). Perspectives on transformational change in climate risk management and adaptation. Environmental Research Letters, 16(5), 053002.

[9] Ge, Z. (2022). Artificial Intelligence and Machine Learning in Data Management. Future and Fintech, the: Abcdi and Beyond, 281.

[10] Bagai, R. (2024). Comparative Analysis of AWS Model Deployment Services. arXiv preprint arXiv:2405.08175.

[11] Karaoglu, S., Arpaci, U., & Ayvaz, S. (2017). A deep learning approach for optimization of systematic signal detection in financial trading systems with big data. International Journal of Intelligent Systems and Applications in Engineering, 2017(Special Issue), 31-36.

[12] Hubbard, D. W. (2020). The failure of risk management: Why it's broken and how to fix it. John Wiley & Sons.

[13] Hull, J. (2012). Risk management and financial institutions, + Web Site (Vol. 733). John Wiley & Sons.

[14] Rodríguez López, J., Escamilla, L., López, R., Gaxiola, L. F., & González, L. C. (2023, June). A Cloud- Based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution. In Mexican Conference on Pattern Recognition (pp. 13-22). Cham: Springer Nature Switzerland.

[15] George, A. S. (2024). Finance 4.0: The Transformation of Financial Services in the Digital Age.

[16] Bhatnagar, S., & Mahant, R. (2024). Unleashing the Power of AI in Financial Services: Opportunities, Challenges, and Implications. Artificial Intelligence (AI), 4(1).

[17] Broby, D. (2022). The use of predictive analytics in finance. The Journal of Finance and Data Science, 8, 145-161.

[18] Indriasari, E., Soeparno, H., Gaol, F. L., & Matsuo, T. (2019, July). Application of predictive analytics at financial institutions: a systematic literature review. In 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) (pp. 877-883). IEEE.

[19] Schmitt, M. (2020). Artificial intelligence in business analytics, capturing value with machine learning applications in financial services.

[20] Mogaji, E., Farquhar, J. D., Van Esch, P., Durodié, C., & Perez-Vega, R. (2022). Guest editorial: Artificial intelligence in financial services marketing. International Journal of Bank Marketing, 40(6), 1097-1101.

[21] Anusha Medavaka, 2023. "Building Intelligent Systems on AWS: From Data Lakes to AI-Powered Insights", ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 1, Issue 3: 68-80.

[22] Anusha Medavaka,“Enhanced Classification Framework on Social Networks” in “Journal of Advances in Science and Technology”, Vol. IX, Issue No. XIX, May-2015 [ISSN : 2230-9659]

[23] Anusha Medavaka,P. Shireesha, “A Survey on TraffiCop Android Application” in “Journal of Advances in Science and Technology”, Vol. 14, Issue No. 2, September-2017 [ISSN : 2230-9659]

[24] Anusha Medavaka, P. Shireesha, “Review on Secure Routing Protocols in MANETs” in “International Journal of Information Technology and Management”, Vol. VIII, Issue No. XII, May-2015 [ISSN : 2249-4510]

[25] Anusha Medavaka,P. Shireesha, “Optimal framework to Wireless Rechargeable Sensor Network based Joint Spatial of theMobile Node” in “Journal of Advances in Science and Technology”, Vol. XI, Issue No. XXII, May2016 [ISSN : 2230-9659

[26] Anusha Medavaka, "Algorithm Feasibility on IoT Devices with Memory and Computational Power Constraints", International Journal of Science and Research (IJSR), Volume 8, Issue 5, May 2019[ISSN : 2319-7064]

[27] Anusha Medavaka,“Monitoring and Controlling Local AreaNetwork Using Android APP” in “International Journal of Research”, Vol. 7, Issue No. IV, April-2018 [ISSN : 2236-6124]

[28] Anusha Medavaka, P. Shireesha, “Analysis and Usage of Spam Detection Methodin Mail Filtering System” in “International Journal of Information Technology and Management”, Vol. 12, Issue No. 1, February-2017 [ISSN : 2249-4510]

[29] Anusha Medavaka,“Identification of Security Threats and Proposed Security Mechanisms for Wireless Sensor Networks” in “International Journal of Scientific Research in Computer Science, Engineering and Information Technology”, Vol. 5, Issue No. 3, May-2019 [ISSN : 2456-3307]

[30] Anusha Medavaka, "Programmable Big Data Processing Framework toReduce On-Chip Communicationsand Computations Towards Reducing Energyof the Processing" in “International Journal of Advanced Research in Computer and Communication Engineering”, Volume 8, Issue 4, April 2019, [ISSN : 2278-1021]

[31] Anusha Medavaka, “An Overview of Security Mechanisms Towards Different Types of Attacks” in “International Journal of Scientific Research in Science and Technology”, Vol. 4, Issue No. 10, October-2018 [ISSN : 2395-602X]

[32] Anusha Medavaka,“A study on the process of hiding protective information from the big data processing databases” in “International journal of basic and applied research”, Vol. 9, Issue No. 6, June-2019[ISSN : 2278-0505]

[33] Anusha Medavaka,“A REVIEW ONDISPLAYING KNOWLEDGE INTO THE UNLIMITED WORLDVIEW OF BIGDATA” in “International Journal of Research and Analytical Reviews”, Vol. 6, Issue No. 2, May-2019 [ISSN : 2348 –1269]

[34] Anusha Medavaka,“A Comprehensive Study on Characteristics of Big Data and the Platform Used in Big Data” in “International Journal for Scientific Research & Development”, Vol. 7, Issue No. 3, May-2019 [ISSN : 2321-0613]

[35] Anusha Medavaka,“K-Means Clustering Algorithm to Search into the Documents Containing Natural Language” in “International Journal of Scientific Research in Science and Technology”, Vol. 3, Issue No. 8, Dec-2017[ISSN : 2395-602X]

[36] Anusha Medavaka, Siripuri Kiran, “Implementation of dynamic handover reduce function algorithm towards optimizing the result in reduce function” in “International Journal of Academic Research and Development”, Vol. 4, Issue No. 4, July-2019 [ISSN : 2455-4197]

[37] Atri P. Enabling AI Work flows: A Python Library for Seamless Data Transfer between Elasticsearch and Google Cloud Storage. J Artif Intell Mach Learn & Data Sci 2022, 1(1), 489-491. DOI: doi.org/10.51219/JAIMLD/preyaa-atri/132

[38] Atri P. Cloud Storage Optimization through Data Compression: Analyzing the Compress-CSV-Files-GCS-Bucket Library. J Artif Intell Mach Learn & Data Sci 2023, 1(3), 498-500. DOI: doi.org/10.51219/JAIMLD/preyaa-atri/134

[39] Preyaa Atri, "Empowering AI with Efficient Data Pipelines: A Python Library for Seamless Elasticsearch to BigQuery Integration", International Journal of Science and Research (IJSR), Volume 12 Issue 5, May 2023, pp. 2664-2666, https://www.ijsr.net/getabstract.php?paperid=SR24522145306

Keywords :

AWS AI, Financial Services, Risk Management, Investment Strategies, Machine Learning, Fraud Detection.