Intelligent Governance for Real-Time Financial Transactions in Cloud-Native Environments
Abstract
Cloud-native infrastructures reshape business operations by offering elastic IT resources for real-time processing of financial transactions. Therefore, governance must bridge the seemingly contradictory objectives of regulatory compliance and agentic autonomy. The Agentic AI-Driven Governance Framework responds to these challenges, with a specific focus on real-time processing, using the analysis, design, and implement patterns of the Unifying Cybersecurity Framework. A complex adaptive system perspective captures interactions among the core components, securing overall behavior. Processing incidents has immediate repercussions for operation and reputation, and governance must therefore minimize incident impact and recovery time. Risk assessment quantifies the operational and financial impact of incidents.
Cloud-native infrastructures reshape business operations by offering elastic IT resources for real-time processing of financial transactions. Historical precedents, however, reveal that the introduction of such systems—especially those involving autonomous decision-making—poses governance challenges. Decision-making autonomy must, at a minimum, support and preferably enhance regulatory compliance objectives. Fully agentic AI-based systems, on the other hand, drive compliance and ethics to the background, further aggravating governance quality. With agentic governance, the objectives are richer and relate directly to operational risk management. Yet the very nature of agentic governance appears to undermine regulatory compliance, since compliance with rules and regulation is substituted by an accredited agentic policymaking process. Therefore, there seems to be an inherent tension between agentic governance and regulatory compliance, making the internal or external auditing of agentic systems a paramount concern.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 9 No. 4 (2026): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
1352-1365 |
Published |
August 12, 2026 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Ganesh Pambala, Dr. Ethan Campbell (%2026). Intelligent Governance for Real-Time Financial Transactions in Cloud-Native Environments. International Journal of Science, Research and Technology , Vol. 9 No. 4 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 1352-1365. https://doi.org/10.15662/IJSRAT.2026.0904006 |
References
1. Kolla, T. (2025). Anomaly Detection Models for Outlier Provider Behavior in Cost and Treatment Patterns. Journal of Computational Analysis & Applications, 34(12), 1204.
2. Mattaparthi, R. (2025). GenAI-Augmented Diagnostic Reasoning for Diesel Engine Fault Triage: A Large Language Model Framework for Technician Decision Support at Scale. Journal of Material Sciences & Manufacturing Research, 6(12), 1.
3. Paleti, S. (2025). Smart finance: Artificial intelligence, regulatory compliance, and data engineering in the transformation of global banking. Deep Science Publishing.
4. Garapati, R.S., Paleti, S., Meda, R., Nagabhyru, K.C., Deepa Priya, B.S. (2026). Physical-Unclonable-Function-Based Secure and Anonymous User Authentication for Smart Homes. In: Bhateja, V., Yang, XS., Flores-Fuentes, W., Chowdary, P.S.R. (eds) Signal Processing, Telecommunication & Embedded Systems: Automation and Sustainability Applications. ICMEET 2025. Lecture Notes in Electrical Engineering, vol 1598. Springer, Cham. https://doi.org/10.1007/978-3-032-20235-2_33
5. Mashetty, S. (2025). LEVERAGING DEEP LEARNING, NEURAL NETWORKS, AND DATA ENGINEERING FOR INTELLIGENT MORTGAGE LOAN VALIDATION. INTERNATIONAL JOURNAL OF SOCIAL SCIENCE & INTERDISCIPLINARY RESEARCH ISSN: 2277-3630 Impact factor: 8.036, 14(04), 51-65.
6. Meda, R. (2025). Transforming retail and paint manufacturing supply chains through agentic AI, machine learning, and intelligent data infrastructure. Global Pen Press UK.
7. Peddi, R. K. (2024). AI-Based Workforce Analytics for SLA Governance and Uptime Assurance in Data Centers. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8589-8601.
8. Kumar, K. M., Parasar, A., Walia, A., Inala, R., & Thulasimani, T. (2025, August). Enhancing Risk Management Strategies in Financial Institutions Using CNN and Support Vector Regression. In 2025 5th Asian Conference on Innovation in Technology (ASIANCON) (pp. 1-6). IEEE.
9. Garapati, R. S., Adusupalli, B., Kaulwar, P. K., Gadi, A. L., Annapareddy, V. N., & Challa, K. (2025, December). The Evolution of Digital Payments: A Study on AI-Powered Transaction Monitoring Systems. In 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 1-8). IEEE.
10. Nagabhyru, K. C. (2025). Human In The Loop Generative AI: Redefining Collaborative Data Engineering For High Stakes Industries. Metallurgical and Materials Engineering.
11. Amistapuram, K., Pandiri, L., Raju, V. R., Paleti, S., Singireddy, S., & Sheelam, G. K. (2025). AI-Based Cloud Infrastructure and MLOps Frameworks for Scalable Data Engineering Across Banking and Insurance. In 2025 IEEE International Conference on Communication Networks and Computing (CNC) (pp. 186–192). IEEE. 2025 IEEE International Conference on Communication Networks and Computing (CNC). https://doi.org/10.1109/cnc68716.2025.11484532
12. Kummari, D. N., Burugulla, J. K. R., Malempati, M., Amistapuram, K., Garapati, R. S., & Nagabhyru, K. C. (2025, December). Enhancing Audit Compliance and Operational Efficiency in Manufacturing and Commercial Insurance Through Agentic AI and Data Engineering Frameworks. In 2025 IEEE International Conference on Communication Networks and Computing (CNC) (pp. 714-720). IEEE.
13. Babaiah, C., Dobriyal, N., Shamila, M., Aitha, A. R., Patel, S. P., & Upodhyay, D. (2025, December). Intelligent Fault Detection and Recovery in Wireless Sensor Networks Using AI. In 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG) (pp. 1-6). IEEE.
14. Priyanka, R. P., Annapareddy, V. N., Yenugu, B. C., Nagabhyru, K. C., & Kapila, D. (2025, September). Optimization of Battery Management Systems Using Machine Learning. In 2025 International Conference on Computing and Communications (COMPUTINGCON) (pp. 1-6). IEEE.
15. Radha, S., Gottimukkala, V. R. R., Thottara, S., & Vandhana, K. (2025, October). Adaptive Video Streaming Over 5G Networks Using Deep Reinforcement Learning with Closed-Loop Feedback Mechanism for Bitrate Control. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1-6). IEEE.
16. Annapareddy, V. N., Challa, K., Komaragiri, V. B., Sriram, H. K., Kalisetty, S., & Goma, T. (2025, April). Explaining AI Techniques such as SHAP LIME and RISE in Limited Sample Size Neuroimaging Studies. In 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0 (pp. 1-6). IEEE.
17. Chabokpour, J., Kalisetty, S., Malempati, M., Challa, K., Mandala, V., Kumar, B., & Azamathulla, H. M. (2025). Integrating Hydrological and Hydraulic Approaches for Adaptive Environmental Flow Management: A Multi-Method Approach for Adaptive River Management in Semi-Arid Regions. Water, 17(7), 926.
18. Balamurugan, J., Aitha, A. R., Kishore, D. S. C., Reenaraj, T., Babu, T. S., & Kumar, B. B. (2025, November). Adaptive AI-Driven Optimization in Smart Manufacturing: A Hybrid Neural-Network and Genetic-Algorithm Approach. In 2025 International Conference on Emerging Engineering Technologies and Applications (IC-EETA) (pp. 690-697). IEEE.
19. Kolla, S. K. (2025). Next-Generation Precision Healthcare: AI-Driven Clinical Intelligence, Predictive Analytics, and Adaptive Decision Support Systems. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(4), 12539-12552.
20. Segireddy, A. R. (2025). AN INTELLIGENT, REAL-TIME DIGITAL FABRIC FOR HEALTHCARE AND FINANCIAL ECOSYSTEMS USING AUTONOMOUS LEARNING AND GENERATIVE SYSTEMS. TPM–Testing, Psychometrics, Methodology in Applied Psychology.
21. Amistapuram, K. (2025). GENERATIVE AI FOR CLAIMS EXCEPTIONS AND INVESTIGATIONS: ENHANCING RESOLUTION EFFICIENCY IN COMPLEX INSURANCE PROCESSES. Available at SSRN.
22. Lebcir, I., Shah, A., Nagubandi, A. R., Dhoke, S. M., & Mishra, M. K. (2025). FinTech and Financial Inclusion in Emerging Economies: An Empirical Assessment. Advances in Consumer Research, 2(6).
23. Yandamuri, U. S. (2023). An Intelligent Analytics Framework Combining Big Data and Machine Learning for Business Forecasting. International Journal Of Finance, 36(6), 682-706.
24. Meda, R. (2025). AI-Driven Demand and Supply Forecasting Models for Enhanced Sales Performance Management: A Case Study of a Four-Zone Structure in the United States. Metallurgical and Materials Engineering, 1480-1500.
25. Kolla, S. H. (2025). Autonomous Agentic Frameworks for Enterprise Service Operations and Intelligent Process Automation. International Journal of Science, Research and Technology, 8(4), 14643-14655.
26. Kolla, S. K., & Bandi, V. D. V. K. (2025). Autonomous Clinical Monitoring Platforms Using Reinforcement Learning and Deep Neural Networks. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 8(6), 13300-13313.
27. Bandi, V. D. V. K. (2025). Self-Optimizing Data Pipelines Using Machine Learning for Cloud Workloads. Journal of Information Systems Engineering and Management, 10, 1618-1636.
28. Mattaparthi, R. (2024). Transformer-Based Fault Diagnosis for Large-Scale Standby Power Generators: Partial Discharge Pattern Recognition at Hyperscale Data Center Installations. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8781-8799.
29. Kolla, T. (2025). Generative AI for Intelligent Medical Coding and Healthcare Analytics. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 8(6), 13285-13299.
30. Radhakrishnan, P., Nagabhyru, K. C., Manonmani, C., Srinu, M., Kaur, H., & Nandhini, N. (2025, October). K-Means-KNN Hybrid Model for Efficient Intrusion Detection in Cloud-based IoT Systems. In 2025 10th International Conference on Communication and Electronics Systems (ICCES) (pp. 1583-1588). IEEE.
31. Vajpayee, A., Khan, S., Gottimukkala, V. R. R., Sharma, D., & Seshasai, S. J. (2025). Digital Financial Literacy 4.0: Consumer Readiness for AI-Driven Fintech and Blockchain Ecosystems. International Insurance Law Review, 33(S5), 963-973.
32. Amistapuram, K. (2025). Agentic AI for Next-Generation Insurance Platforms: Autonomous Decision-Making in Claims and Policy Servicing. Journal of Marketing & Social Research, 2, 88-103.
33. Mangalampalli, B. M., Kolla, S. K., Bandi, V. D. V. K., Yandamuri, U. S., & Rani, P. S. (2025). Designing Intelligent Healthcare Ecosystems through Adaptive Data Integration and Autonomous Learning Systems. Vascular and Endovascular Review, 8(20s), 330-347.
34. Kolla, S. H., & Mangala, N. (2025). DESIGNING AUTONOMOUS LLM AGENT FRAMEWORKS USING GEN AI PIPELINES TO ENHANCE CUSTOMER SERVICE MANAGEMENT AND KNOWLEDGE WORKFLOWS. Lex Localis-Journal of Local Self-Government, 23 (S6), 9719–9733. Mangalampalli, B. M., Bandi, V. D. V. K., Kolla, S. K., & Kumar, M. V. K. (2025). Towards Self-Evolving Healthcare Intelligence: Integrating Advanced Learning Systems with Real-Time Clinical Data Pipelines. Cultura: International Journal of Philosophy of Culture and Axiology, 22(12s), 464-486.
35. Srikanth, T., Segireddy, A. R., & Elavarasi, S. A. (2025, October). STaSFormer-SGAD: Semantic Triplet-Aware Spatial Flow-Guided Spatio-Temporal Graph for Anomaly Detection in Surveillance Videos. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1-7). IEEE.
36. Mattaparthi, R. (2023). Deep Learning-Driven Combustion Anomaly Detection in Diesel Powertrains: A Multi-Sensor Fusion Approach for Real-Time ECM Adaptation. International Journal of Intelligent Systems and Applications in Engineering, 11, 1084.
37. Nigam, N., Sireesha, B., Ediga, P., Segireddy, A. R., & Bokde, S. (2025, December). Comparative Evaluation of Cloud Security Algorithms Using Multiple Classifiers with an Optimized Intrusion Detection System. In 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG) (pp. 1-6). IEEE.
38. Ashokkumar, S., & Amistapuram, K. (2025, October). Attention-Guided Spatial Temporal Framework for Deepfake Detection on Social Video Platforms. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1-6). IEEE.
39. Nagubandi, A. R. (2025). Advanced Predictive Autonomous Agents for Multiportfolio Risk Analytics and Real-Time Enterprise P&L Decisioning: Self-Learning AI Systems for Multi-counterparty Derivatives, Collateral Valuation, and Accounting Reconciliation. Collateral Valuation, and Accounting Reconciliation (December 01, 2025).
40. Selvaraj, F. J., Rani, S., Nagubandi, A. R., Chawla, C., & Sekar, G. (2026). Beyond Traditional Ledgers: A Blockchain-Integrated Accounting Model for Seamless Digital Transformation in Retail Economies. Advances in Consumer Research, 3(1), 934-941.
41. Yandamuri, U. S. (2024). AI-Driven Decision Support Systems for Operational Optimization in Hospitality Technology. Metallurgical and Materials Engineering.
42. Mahadevan, S. (2024). Empowering Manufacturing: Generative AI Revolutionizes ERP Application. Int. J. Innov. Sci. Res, 9, 593-595.
43. Kolla, S. H., & Mattaparthi, R. (2025). Hybrid Gen AI Systems: Integrating Small LMs with Large Language Models for Cost-Efficient Enterprise Automation and Decision Intelligence. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(6), 13345-13357.
44. FinOps Strategies for AI-Enabled Real-Time Compliance Platforms in Cloud Native Environments. (2025). MSW Management Journal, 35(2), 2080-2088.
45. Mangalampalli, B. M., & Kolla, S. K. (2025). Large Language Models for Automated Healthcare Data Dictionary Generation and Maintenance. Vascular and Endovascular Review, 8(20s), 363-375.
46. Kolla, T. (2025). The Future of Healthcare Analytics: Leveraging AI and Data Engineering for Personalized Medicine. Journal of Computer Science and Technology Studies, 7(4), 634-640.
47. Mangala, N. (2024). Leveraging Microsoft Fabric lakehouse as an AI-ready data platform for enterprise analytics. Journal of Information Systems Engineering and Management.
48. Loganathan, R. (2025). AGENTIC AI FRAMEWORKS FOR AUTONOMOUS RISK DETECTION AND COMPLIANCE REMEDIATION IN ENTERPRISE DATA CENTER OPERATIONS. Lex Localis-Journal of Local Self-Government, 23 (S6), 9672–9697.
49. Reddy, V. A. R. (2025). Journal of Rare Cardiovascular Diseases. Health, 5(3), 402-422.
50. Mahadevan, S. (2024). Clouding the Future: Innovating Towards Net-Zero Emissions. International Journal of Computing and Engineering, 6(2), 17-23.
51. Sadhukhan, S. K., Jaishankar, R., Adusupalli, B., Revathi, V. M., Kaliappan, S., & Ponnusamy, M. (2025, October). Healthcare Insurance Fraud Detection Using a Blockchain–Deep Neural Network–AdaBoost Hybrid Model. In 2025 2nd Asian Conference on Intelligent Technologies (ACOIT) (pp. 1-6). IEEE.
52. Adusupalli, B., Elakkiya, M., Balakrishnan, N., Negi, A. S., Balaram, A., & Rathnakumari, E. A. (2025, May). Decentralized Blockchain Powered Citizen Participation Frameworks for Next Generation Transparent Elections and Trustworthy Governance. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 367-380). Atlantis Press.
53. Loganathan, R. (2024). Generative AI-enabled compliance documentation and audit trail automation for global data center governance. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 15(3), 487-504.
54. Ranga Reddy, V. A. (2024). Comparing Batch vs. Streaming Approaches in Healthcare Data Warehousing Environments. Journal of Neonatal Surgery, 13(1), 2287-2309.
55. Gadi, A. L., Garapati, R. S., Inala, R., Singireddy, J., & Kapila, D. (2025, October). Robust Mutual Authentication for Distributed IoT Systems: Balancing Security and Efficiency. In International Conference on Microelectronics, Electromagnetics and Telecommunication (pp. 538-548). Cham: Springer Nature Switzerland.
56. Seenu, A., Sheelam, G. K., Motamary, S., Meda, R., Koppolu, H. K. R., & Inala, R. (2025, July). AI-Driven Innovations in Infrastructure Management with 6G Technology. In 2025 2nd International Conference on Computing and Data Science (ICCDS) (pp. 1-6). IEEE.
57. Danghi, P. S., Maniraj, K., Jain, P., Adilakshmi, K., Garapati, R. S., & Jain, S. K. (2025, December). Artificial Intelligence Based Energy Optimization Framework for Wireless Sensor Networks. In 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG) (pp. 1-6). IEEE.
58. Mangala, N. (2025). Agentic Data Pipelines: Autonomous ELT Orchestration Using AI Agents on Microsoft Fabric and Databricks. International Journal of Computer Technology and Electronics Communication, 8(6), 11891-11907.
59. Mashetty, S. (2025). Technology-driven analytics in mortgage-backed securities for single-family mortgage financing. Available at SSRN 5236573.
60. Balamurugan, J., Bhuvaneswari, M., Aitha, A. R., Nagaraju, S., Viswanathan, R., & Dhasarathan, N. (2025, November). Explanatory Transformer-Based Sequential Recommendation: Assessing BERTRec with SASRec for Customer Behaviour Prediction. In 2025 International Conference on Emerging Engineering Technologies and Applications (IC-EETA) (pp. 470-475). IEEE.
61. Davuluri, P. S. L. (2023). AI-Augmented Sanctions Screening: Enhancing Accuracy and Latency in Real Time Compliance Systems. AI-Augmented Sanctions Screening: Enhancing Accuracy and Latency in Real Time Compliance Systems (December 15, 2023).
62. Garapati, R. S., Adusupalli, B., Kaulwar, P. K., Gadi, A. L., Annapareddy, V. N., & Challa, K. (2025, December). The Evolution of Digital Payments: A Study on AI-Powered Transaction Monitoring Systems. In 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 1-8). IEEE.
2. Mattaparthi, R. (2025). GenAI-Augmented Diagnostic Reasoning for Diesel Engine Fault Triage: A Large Language Model Framework for Technician Decision Support at Scale. Journal of Material Sciences & Manufacturing Research, 6(12), 1.
3. Paleti, S. (2025). Smart finance: Artificial intelligence, regulatory compliance, and data engineering in the transformation of global banking. Deep Science Publishing.
4. Garapati, R.S., Paleti, S., Meda, R., Nagabhyru, K.C., Deepa Priya, B.S. (2026). Physical-Unclonable-Function-Based Secure and Anonymous User Authentication for Smart Homes. In: Bhateja, V., Yang, XS., Flores-Fuentes, W., Chowdary, P.S.R. (eds) Signal Processing, Telecommunication & Embedded Systems: Automation and Sustainability Applications. ICMEET 2025. Lecture Notes in Electrical Engineering, vol 1598. Springer, Cham. https://doi.org/10.1007/978-3-032-20235-2_33
5. Mashetty, S. (2025). LEVERAGING DEEP LEARNING, NEURAL NETWORKS, AND DATA ENGINEERING FOR INTELLIGENT MORTGAGE LOAN VALIDATION. INTERNATIONAL JOURNAL OF SOCIAL SCIENCE & INTERDISCIPLINARY RESEARCH ISSN: 2277-3630 Impact factor: 8.036, 14(04), 51-65.
6. Meda, R. (2025). Transforming retail and paint manufacturing supply chains through agentic AI, machine learning, and intelligent data infrastructure. Global Pen Press UK.
7. Peddi, R. K. (2024). AI-Based Workforce Analytics for SLA Governance and Uptime Assurance in Data Centers. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8589-8601.
8. Kumar, K. M., Parasar, A., Walia, A., Inala, R., & Thulasimani, T. (2025, August). Enhancing Risk Management Strategies in Financial Institutions Using CNN and Support Vector Regression. In 2025 5th Asian Conference on Innovation in Technology (ASIANCON) (pp. 1-6). IEEE.
9. Garapati, R. S., Adusupalli, B., Kaulwar, P. K., Gadi, A. L., Annapareddy, V. N., & Challa, K. (2025, December). The Evolution of Digital Payments: A Study on AI-Powered Transaction Monitoring Systems. In 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 1-8). IEEE.
10. Nagabhyru, K. C. (2025). Human In The Loop Generative AI: Redefining Collaborative Data Engineering For High Stakes Industries. Metallurgical and Materials Engineering.
11. Amistapuram, K., Pandiri, L., Raju, V. R., Paleti, S., Singireddy, S., & Sheelam, G. K. (2025). AI-Based Cloud Infrastructure and MLOps Frameworks for Scalable Data Engineering Across Banking and Insurance. In 2025 IEEE International Conference on Communication Networks and Computing (CNC) (pp. 186–192). IEEE. 2025 IEEE International Conference on Communication Networks and Computing (CNC). https://doi.org/10.1109/cnc68716.2025.11484532
12. Kummari, D. N., Burugulla, J. K. R., Malempati, M., Amistapuram, K., Garapati, R. S., & Nagabhyru, K. C. (2025, December). Enhancing Audit Compliance and Operational Efficiency in Manufacturing and Commercial Insurance Through Agentic AI and Data Engineering Frameworks. In 2025 IEEE International Conference on Communication Networks and Computing (CNC) (pp. 714-720). IEEE.
13. Babaiah, C., Dobriyal, N., Shamila, M., Aitha, A. R., Patel, S. P., & Upodhyay, D. (2025, December). Intelligent Fault Detection and Recovery in Wireless Sensor Networks Using AI. In 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG) (pp. 1-6). IEEE.
14. Priyanka, R. P., Annapareddy, V. N., Yenugu, B. C., Nagabhyru, K. C., & Kapila, D. (2025, September). Optimization of Battery Management Systems Using Machine Learning. In 2025 International Conference on Computing and Communications (COMPUTINGCON) (pp. 1-6). IEEE.
15. Radha, S., Gottimukkala, V. R. R., Thottara, S., & Vandhana, K. (2025, October). Adaptive Video Streaming Over 5G Networks Using Deep Reinforcement Learning with Closed-Loop Feedback Mechanism for Bitrate Control. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1-6). IEEE.
16. Annapareddy, V. N., Challa, K., Komaragiri, V. B., Sriram, H. K., Kalisetty, S., & Goma, T. (2025, April). Explaining AI Techniques such as SHAP LIME and RISE in Limited Sample Size Neuroimaging Studies. In 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0 (pp. 1-6). IEEE.
17. Chabokpour, J., Kalisetty, S., Malempati, M., Challa, K., Mandala, V., Kumar, B., & Azamathulla, H. M. (2025). Integrating Hydrological and Hydraulic Approaches for Adaptive Environmental Flow Management: A Multi-Method Approach for Adaptive River Management in Semi-Arid Regions. Water, 17(7), 926.
18. Balamurugan, J., Aitha, A. R., Kishore, D. S. C., Reenaraj, T., Babu, T. S., & Kumar, B. B. (2025, November). Adaptive AI-Driven Optimization in Smart Manufacturing: A Hybrid Neural-Network and Genetic-Algorithm Approach. In 2025 International Conference on Emerging Engineering Technologies and Applications (IC-EETA) (pp. 690-697). IEEE.
19. Kolla, S. K. (2025). Next-Generation Precision Healthcare: AI-Driven Clinical Intelligence, Predictive Analytics, and Adaptive Decision Support Systems. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(4), 12539-12552.
20. Segireddy, A. R. (2025). AN INTELLIGENT, REAL-TIME DIGITAL FABRIC FOR HEALTHCARE AND FINANCIAL ECOSYSTEMS USING AUTONOMOUS LEARNING AND GENERATIVE SYSTEMS. TPM–Testing, Psychometrics, Methodology in Applied Psychology.
21. Amistapuram, K. (2025). GENERATIVE AI FOR CLAIMS EXCEPTIONS AND INVESTIGATIONS: ENHANCING RESOLUTION EFFICIENCY IN COMPLEX INSURANCE PROCESSES. Available at SSRN.
22. Lebcir, I., Shah, A., Nagubandi, A. R., Dhoke, S. M., & Mishra, M. K. (2025). FinTech and Financial Inclusion in Emerging Economies: An Empirical Assessment. Advances in Consumer Research, 2(6).
23. Yandamuri, U. S. (2023). An Intelligent Analytics Framework Combining Big Data and Machine Learning for Business Forecasting. International Journal Of Finance, 36(6), 682-706.
24. Meda, R. (2025). AI-Driven Demand and Supply Forecasting Models for Enhanced Sales Performance Management: A Case Study of a Four-Zone Structure in the United States. Metallurgical and Materials Engineering, 1480-1500.
25. Kolla, S. H. (2025). Autonomous Agentic Frameworks for Enterprise Service Operations and Intelligent Process Automation. International Journal of Science, Research and Technology, 8(4), 14643-14655.
26. Kolla, S. K., & Bandi, V. D. V. K. (2025). Autonomous Clinical Monitoring Platforms Using Reinforcement Learning and Deep Neural Networks. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 8(6), 13300-13313.
27. Bandi, V. D. V. K. (2025). Self-Optimizing Data Pipelines Using Machine Learning for Cloud Workloads. Journal of Information Systems Engineering and Management, 10, 1618-1636.
28. Mattaparthi, R. (2024). Transformer-Based Fault Diagnosis for Large-Scale Standby Power Generators: Partial Discharge Pattern Recognition at Hyperscale Data Center Installations. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8781-8799.
29. Kolla, T. (2025). Generative AI for Intelligent Medical Coding and Healthcare Analytics. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 8(6), 13285-13299.
30. Radhakrishnan, P., Nagabhyru, K. C., Manonmani, C., Srinu, M., Kaur, H., & Nandhini, N. (2025, October). K-Means-KNN Hybrid Model for Efficient Intrusion Detection in Cloud-based IoT Systems. In 2025 10th International Conference on Communication and Electronics Systems (ICCES) (pp. 1583-1588). IEEE.
31. Vajpayee, A., Khan, S., Gottimukkala, V. R. R., Sharma, D., & Seshasai, S. J. (2025). Digital Financial Literacy 4.0: Consumer Readiness for AI-Driven Fintech and Blockchain Ecosystems. International Insurance Law Review, 33(S5), 963-973.
32. Amistapuram, K. (2025). Agentic AI for Next-Generation Insurance Platforms: Autonomous Decision-Making in Claims and Policy Servicing. Journal of Marketing & Social Research, 2, 88-103.
33. Mangalampalli, B. M., Kolla, S. K., Bandi, V. D. V. K., Yandamuri, U. S., & Rani, P. S. (2025). Designing Intelligent Healthcare Ecosystems through Adaptive Data Integration and Autonomous Learning Systems. Vascular and Endovascular Review, 8(20s), 330-347.
34. Kolla, S. H., & Mangala, N. (2025). DESIGNING AUTONOMOUS LLM AGENT FRAMEWORKS USING GEN AI PIPELINES TO ENHANCE CUSTOMER SERVICE MANAGEMENT AND KNOWLEDGE WORKFLOWS. Lex Localis-Journal of Local Self-Government, 23 (S6), 9719–9733. Mangalampalli, B. M., Bandi, V. D. V. K., Kolla, S. K., & Kumar, M. V. K. (2025). Towards Self-Evolving Healthcare Intelligence: Integrating Advanced Learning Systems with Real-Time Clinical Data Pipelines. Cultura: International Journal of Philosophy of Culture and Axiology, 22(12s), 464-486.
35. Srikanth, T., Segireddy, A. R., & Elavarasi, S. A. (2025, October). STaSFormer-SGAD: Semantic Triplet-Aware Spatial Flow-Guided Spatio-Temporal Graph for Anomaly Detection in Surveillance Videos. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1-7). IEEE.
36. Mattaparthi, R. (2023). Deep Learning-Driven Combustion Anomaly Detection in Diesel Powertrains: A Multi-Sensor Fusion Approach for Real-Time ECM Adaptation. International Journal of Intelligent Systems and Applications in Engineering, 11, 1084.
37. Nigam, N., Sireesha, B., Ediga, P., Segireddy, A. R., & Bokde, S. (2025, December). Comparative Evaluation of Cloud Security Algorithms Using Multiple Classifiers with an Optimized Intrusion Detection System. In 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG) (pp. 1-6). IEEE.
38. Ashokkumar, S., & Amistapuram, K. (2025, October). Attention-Guided Spatial Temporal Framework for Deepfake Detection on Social Video Platforms. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1-6). IEEE.
39. Nagubandi, A. R. (2025). Advanced Predictive Autonomous Agents for Multiportfolio Risk Analytics and Real-Time Enterprise P&L Decisioning: Self-Learning AI Systems for Multi-counterparty Derivatives, Collateral Valuation, and Accounting Reconciliation. Collateral Valuation, and Accounting Reconciliation (December 01, 2025).
40. Selvaraj, F. J., Rani, S., Nagubandi, A. R., Chawla, C., & Sekar, G. (2026). Beyond Traditional Ledgers: A Blockchain-Integrated Accounting Model for Seamless Digital Transformation in Retail Economies. Advances in Consumer Research, 3(1), 934-941.
41. Yandamuri, U. S. (2024). AI-Driven Decision Support Systems for Operational Optimization in Hospitality Technology. Metallurgical and Materials Engineering.
42. Mahadevan, S. (2024). Empowering Manufacturing: Generative AI Revolutionizes ERP Application. Int. J. Innov. Sci. Res, 9, 593-595.
43. Kolla, S. H., & Mattaparthi, R. (2025). Hybrid Gen AI Systems: Integrating Small LMs with Large Language Models for Cost-Efficient Enterprise Automation and Decision Intelligence. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(6), 13345-13357.
44. FinOps Strategies for AI-Enabled Real-Time Compliance Platforms in Cloud Native Environments. (2025). MSW Management Journal, 35(2), 2080-2088.
45. Mangalampalli, B. M., & Kolla, S. K. (2025). Large Language Models for Automated Healthcare Data Dictionary Generation and Maintenance. Vascular and Endovascular Review, 8(20s), 363-375.
46. Kolla, T. (2025). The Future of Healthcare Analytics: Leveraging AI and Data Engineering for Personalized Medicine. Journal of Computer Science and Technology Studies, 7(4), 634-640.
47. Mangala, N. (2024). Leveraging Microsoft Fabric lakehouse as an AI-ready data platform for enterprise analytics. Journal of Information Systems Engineering and Management.
48. Loganathan, R. (2025). AGENTIC AI FRAMEWORKS FOR AUTONOMOUS RISK DETECTION AND COMPLIANCE REMEDIATION IN ENTERPRISE DATA CENTER OPERATIONS. Lex Localis-Journal of Local Self-Government, 23 (S6), 9672–9697.
49. Reddy, V. A. R. (2025). Journal of Rare Cardiovascular Diseases. Health, 5(3), 402-422.
50. Mahadevan, S. (2024). Clouding the Future: Innovating Towards Net-Zero Emissions. International Journal of Computing and Engineering, 6(2), 17-23.
51. Sadhukhan, S. K., Jaishankar, R., Adusupalli, B., Revathi, V. M., Kaliappan, S., & Ponnusamy, M. (2025, October). Healthcare Insurance Fraud Detection Using a Blockchain–Deep Neural Network–AdaBoost Hybrid Model. In 2025 2nd Asian Conference on Intelligent Technologies (ACOIT) (pp. 1-6). IEEE.
52. Adusupalli, B., Elakkiya, M., Balakrishnan, N., Negi, A. S., Balaram, A., & Rathnakumari, E. A. (2025, May). Decentralized Blockchain Powered Citizen Participation Frameworks for Next Generation Transparent Elections and Trustworthy Governance. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 367-380). Atlantis Press.
53. Loganathan, R. (2024). Generative AI-enabled compliance documentation and audit trail automation for global data center governance. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 15(3), 487-504.
54. Ranga Reddy, V. A. (2024). Comparing Batch vs. Streaming Approaches in Healthcare Data Warehousing Environments. Journal of Neonatal Surgery, 13(1), 2287-2309.
55. Gadi, A. L., Garapati, R. S., Inala, R., Singireddy, J., & Kapila, D. (2025, October). Robust Mutual Authentication for Distributed IoT Systems: Balancing Security and Efficiency. In International Conference on Microelectronics, Electromagnetics and Telecommunication (pp. 538-548). Cham: Springer Nature Switzerland.
56. Seenu, A., Sheelam, G. K., Motamary, S., Meda, R., Koppolu, H. K. R., & Inala, R. (2025, July). AI-Driven Innovations in Infrastructure Management with 6G Technology. In 2025 2nd International Conference on Computing and Data Science (ICCDS) (pp. 1-6). IEEE.
57. Danghi, P. S., Maniraj, K., Jain, P., Adilakshmi, K., Garapati, R. S., & Jain, S. K. (2025, December). Artificial Intelligence Based Energy Optimization Framework for Wireless Sensor Networks. In 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG) (pp. 1-6). IEEE.
58. Mangala, N. (2025). Agentic Data Pipelines: Autonomous ELT Orchestration Using AI Agents on Microsoft Fabric and Databricks. International Journal of Computer Technology and Electronics Communication, 8(6), 11891-11907.
59. Mashetty, S. (2025). Technology-driven analytics in mortgage-backed securities for single-family mortgage financing. Available at SSRN 5236573.
60. Balamurugan, J., Bhuvaneswari, M., Aitha, A. R., Nagaraju, S., Viswanathan, R., & Dhasarathan, N. (2025, November). Explanatory Transformer-Based Sequential Recommendation: Assessing BERTRec with SASRec for Customer Behaviour Prediction. In 2025 International Conference on Emerging Engineering Technologies and Applications (IC-EETA) (pp. 470-475). IEEE.
61. Davuluri, P. S. L. (2023). AI-Augmented Sanctions Screening: Enhancing Accuracy and Latency in Real Time Compliance Systems. AI-Augmented Sanctions Screening: Enhancing Accuracy and Latency in Real Time Compliance Systems (December 15, 2023).
62. Garapati, R. S., Adusupalli, B., Kaulwar, P. K., Gadi, A. L., Annapareddy, V. N., & Challa, K. (2025, December). The Evolution of Digital Payments: A Study on AI-Powered Transaction Monitoring Systems. In 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 1-8). IEEE.