AI-Driven DevOps for Real-Time Financial Transaction Systems Challenges and Architectural Patterns
DOI:
https://doi.org/10.15662/IJEETR.2026.0804004Keywords:
Generative Artificial Intelligence, GenAI Enabled DevOps, Real Time Transaction Processing, Financial Services Pipelines, Black Swan Event Handling, Enterprise Architecture Theory, Cloud Native Architectures, Transaction Pipeline Scalability, DevOps Automation Practices, Real Time Data Processing, Operational Resilience Engineering, Non Functional Requirements Analysis, Intelligent Pipeline Monitoring, Adaptive System Design, Financial Infrastructure Modernization, Event Driven Architectures, High Volume Transaction Systems, AI Assisted Software Operations, Architectural Patterns And Trade Offs, Enterprise Grade Transaction SystemsAbstract
The emergence of Generative AI (GenAI) unlocks new capabilities in software development and operations. A related trend calls for the adoption of DevOps principles and practices. Furthermore, organizations across industries seek to process data in real time. In financial services, that imperative applies to transaction pipelines, where volumes peak at Black Swan events, yet the average workload is relatively modest. Ideas from GenAI-enabled DevOps can accelerate the design, implementation, and monitoring of such pipelines, but tensions remain. The landscape of existing work is therefore reviewed, gaps identified, Generalized Enterprise Architecture Theory summoned, and research questions posed. Addressing them will yield candidate solutions that reconcile GenAI-enabled DevOps principles with the requirements of real-time transaction processing. A foundation for that exploration is laid by: specifying the functional and nonfunctional requirements for such pipelines; providing an overview of GenAI-driven DevOps concepts, architectures, and operational paradigms amenable to financial Pipelines; and articulating suitable patterns, together with the associated challenges and trade-offs
Real-time transaction processing pipelines in financial services must support Black Swan event volumes while meeting operational requirements at lower loads. Ideas from GenAI-enabled DevOps can accelerate the design, implementation, and monitoring of such pipelines, but tensions remain. Existing work is reviewed, gaps identified, Generalized Enterprise Architecture Theory summoned, and research questions posed. Addressing them will yield candidate solutions reconciling GenAI-enabled DevOps principles with the requirements of real-time financial transaction processing. A foundation for that exploration is laid by specifying the functional and nonfunctional requirements for such pipelines; providing an overview of GenAI-driven DevOps concepts, architectures, and operational paradigms amenable to financial pipelines; and articulating suitable patterns, together with the associated challenges and trade-offs
References
1. Mohan, A. A., Maguluri, K. K., Yasmeen, Z., & Pandugula, C. (2025). Evaluating the structural performance of axially loaded stainless steel circular tubular columns with ultra‐high‐performance concrete using an optimized attention pyramid convolutional neural network. Structural Concrete.
2. Pandugula, C., Ganti, V. K. A. T., Kalisetty, S., Ande, R., & Mehta, D. (2025). Modeling the Som Kamla Amba Sub-Watershed Using Artificial Neural Networks (ANN) and the SWAT Tool. Available at SSRN 5341614.
3. Dodda, A., Polineni, T. N. S., Yasmeen, Z., Vankayalapati, R. K., & Ganti, V. K. A. T. (2025, January). Inclusive and Transparent Loan Prediction: A Cost-Sensitive Stacking Model for Financial Analytics. In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI) (pp. 749-754). IEEE.
4. Burugulla, J. K. R., Kannan, S., Malempati, M., Challa, H. A. H. S. R., Pandugula, C., & Goma, T. (2025, April). Federated Learning Based Cloud Computing Solutions with Privacy Preservation for Intelligent Utilities. In 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0 (pp. 1-6). IEEE.
5. Ande, R., Pandugula, C., Mehta, D., Vankayalapati, R., Birbal, P., Verma, S., ... & Nanavati, N. (2025). Understanding climate change impacts on streamflow by using machine learning: case study of Godavari Basin. Water, 17(8), 1171.
6. Recharla, M., Chakilam, C., Kannan, S., Nuka, S. T., & Suura, S. R. (2025). Revolutionizing healthcare with generative AI: enhancing patient care, disease research, and early intervention strategies. American Journal of Psychiatric Rehabilitation, 28(1), 98-111.
7. Kumar, M. V. K., Kannan, S., Annapareddy, V. N., Adusupalli, B., Paleti, S., & Challa, S. R. (2025, July). Transforming Underground Electric Cable Management with AI in Smart Cities. In 2025 2nd International Conference on Computing and Data Science (ICCDS) (pp. 1-6). IEEE.
8. Sheelam, G. K., & Komaragiri, V. B. (2025). Self-adaptive wireless communication: Leveraging ML and agentic AI in smart telecommunication networks. Metallurgical and Materials Engineering, 1381-1401.
9. Kummari, D. N., Challa, S. R., Pamisetty, V., Motamary, S., & Meda, R. (2025). Unifying temporal reasoning and agentic machine learning: A framework for proactive fault detection in dynamic, data-intensive environments. Metallurgical and Materials Engineering, 31(4), 552-568.
10. Sriram, H. K., Gadi, A. L., Challa, K., & Singreddy, S. (2025). Leveraging AI, ML, and Gen AI in Automotive and Financial Services: Data-Driven Approaches to Insurance, Payments, Identity Protection, and Sustainable Innovation. Anil Lokesh and Challa, Kishore and singreddy, Sneha, Leveraging AI, ML, and Gen AI in Automotive and Financial Services: Data-Driven Approaches to Insurance, Payments, Identity Protection, and Sustainable Innovation (March 25, 2025).
11. Manikandan, K., Pamisetty, V., Challa, S. R., Komaragiri, V. B., Challa, K., & Chava, K. (2025). Scalability and efficiency in distributed big data architectures: a comparative study. Metallurgical and Materials Engineering, 31(3), 40-49.
12. Ceasar, M. J., Karthik, N. L., Paleti, S., & Devaru, S. D. B. Entrepreneurial risk-taking and cultural values: A global behavioral perspective.
13. Koppolu, H. K. R., Munnangi, A. S. M., Reddy, M. B., & Ravulapalli, L. T. (2025). Artificial Intelligence–Based Evaluation of ApoA-I’s Anti-Inflammatory and Anti-Fibrotic Roles in Experimental Pulmonary Injury. Vascular and Endovascular Review, 8(16s), 299-313.
14. Annapareddy, V. N. (2025). The Intersection of Big Data, Cybersecurity, and ERP Systems: A Deep Learning Perspective. Journal of Artificial Intelligence and Big Data Disciplines, 2(1), 45-53.
15. Adusupalli, B., Malempati, M., Paleti, S., Mashetty, S., & Singireddy, J. (2025). Integrated financial ecosystems: AI-driven innovations in taxation, insurance, mortgage analytics, and community investment through cloud, big data, and advanced data engineering. Journal of Information Systems Engineering and Management, 10, 1103-1117.
16. 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.
17. Ande, R., Pandugula, C., Mehta, D., Vankayalapati, R., Birbal, P., Verma, S., ... & Nanavati, N. (2025). Understanding climate change impacts on streamflow by using machine learning: case study of Godavari Basin. Water, 17(8), 1171.
18. Ganti, V. K. A. T. (2025). Federated edge computing for privacy-preserving analytics in healthcare and IoT systems. International Journal of Computer Trends and Technology.
19. Paleti, S., Kummari, D. N., Garapati, R. S., Sheelam, G. K., Adusupalli, B., & Singireddy, J. (2025, December). Building a Cyber-Resilient Payment Infrastructure: Transforming Payment Security with Zero Trust Architecture. In 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 1-7). IEEE.
20. Krishnan, M., Aitha, A. R., Amistapuram, K., Nandan, B. P., Kaulwar, P. K., & Singireddy, J. (2025, November). Human-in-the-Loop Hybrid Neuro-Symbolic AI Model for Reliable Data Engineering in High-Stakes Industrial Systems. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1-7). IEEE.
21. Amistapuram, K., Pandiri, L., Raju, V. R., Paleti, S., Singireddy, S., & Sheelam, G. K. (2025, December). 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.
22. Vellela, S. S., Purimetla, N. R., Rao, P. V., Daniel, V. A. A., Koppolu, H. K. R., & Janani, B. (2025). AI-Enabled Wearable Hemodynamic Monitoring System for Early Identification of Thrombotic Events. Vascular and Endovascular Review, 8(16s), 321-336.
23. Ganti, S., Vankayalapati, R. K., Krishnamoorthy, P., Thakare, P. S., Nayak, U. A., & Vignesh, P. (2025, February). Enhancing IoT-Driven Smart Home Security and Automation with a GCN Model. In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-6). IEEE.
24. Vankayalapati, R. K. (2025). Zero-trust security models for cloud data analytics: Enhancing privacy in distributed systems. Available at SSRN 5121185.
25. 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.
26. Consumer, R. E. P. (2025, May). Artificial Intelligence Infused Real Time Interaction Systems for Next Generation Retail Experiences Personalized Consumer Insights and Augmented Shopping Journeys. In Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 24) (p. 208). Springer Nature.
27. Chava, K., Suura, S. R., Burugulla, J. K. R., Malempati, M., Nuka, S. T., & Komaragiri, V. B. (2025, July). Machine Learning Enabled Financial Statements in Assessing a Business’s Performance. In 2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) (pp. 1-6). IEEE.
28. Komaragiri, V. B. (2025). Agentic ai for autonomous network orchestration: A new frontier in telecommunications. eksplorium-buletin pusat teknologi bahan galian nuklir, 46(1), 221-241.
29. Sriram, H. K., Gadi, A. L., Challa, K., & Singreddy, S. (2025). Leveraging AI, ML, and Gen AI in Automotive and Financial Services: Data-Driven Approaches to Insurance, Payments, Identity Protection, and Sustainable Innovation. Anil Lokesh and Challa, Kishore and singreddy, Sneha, Leveraging AI, ML, and Gen AI in Automotive and Financial Services: Data-Driven Approaches to Insurance, Payments, Identity Protection, and Sustainable Innovation (March 25, 2025).
30. Nagamani, A., Nuka, S. T., Iyyanar, P., Suzana, A. A., Nayak, M., & Kumar, S. S. (2025, May). Artificial Intelligence optimized citizen engagement platforms for resilient urban futures inclusive policy making and smart community driven governance. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 221-231). Atlantis Press.
31. 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.
32. Meda, R., Motamary, S., Dodda, A., Kummari, D. N., Kaulwar, P. K., & Gadi, A. L. (2025, August). Edge-AI Integration for Accelerated Decision-Making in Industrial Robotics and Manufacturing Plants. In International Conference on Artificial Intelligence: Theory and Applications (pp. 332-344). Cham: Springer Nature Switzerland.
33. Koti¹, V. M., S, A. J., Vinoth, M., & Bordoloi, D. (2025, May). AI-Driven Gamification Models for Long-Term Educational Engagement. In Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 24) (p. 73). Springer Nature.
34. Nandal, N., Tyagi, K., Kumar, L., & Gadi, A. L. (2025, November). AI-Driven CV Analysis and Job Matching in HRM Using a Hybrid Fuzzy Logic-Deep Neural Network Approach for Higher Education. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1-6). IEEE.
35. Challa, K., Challa, S. R., Pamisetty, A., Kaulwar, P. K., & Koppolu, H. K. R. (2025, December). Transforming Payments: The Role of AI and Big Data in Fraud Alerts, Credit Monitoring, and Secure Transactions. In 2025 IEEE International Conference on Communication Networks and Computing (CNC) (pp. 1406-1414). IEEE.
36. Syed, S., Nampalli, R. C. R., Nikam, M., Krishnan, T., & Perada, A. (2025, February). IoT-Driven Environmental Pollution Monitoring with a Deep Attentional Hybrid Transformer Model. In 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC) (pp. 356-361). IEEE
37. Annapareddy, V. N., Kollam, M., Challa, K., Vankayalapati, R. K., Malempati, M., & Yasmeen, Z. (2025). Building resilience in water resource management using artificial intelligence and interdisciplinary strategies for sustainable water security and future governance. Discover Water, 6(1), 7.
38. Mashetty, S., & Valiki, S. (2025). AI-Powered Data Engineering for Intelligent Retail Stock Management. International Journal of Research and Applied Innovations, 8(6), 13096-13109.
39. Chakraborty, S., Pamisetty, A., Chandana, N., & CS, B. (2025, October). Depth-Wise Temporal Convolutional Networks with Layer Normalization for Waste Food Prediction. In 2025 2nd International Conference on Software, Systems and Information Technology (SSITCON) (pp. 1-6). IEEE.
40. Sirisha, N., Kumar, D. S., Ilanchezhian, P., Komaragiri, V. B., Sri, G. K., & Thamizhkani, B. (2025, May). Energy Aware Artificial Intelligence Models for Scalable Digital Interactions Efficient Resource Management and Carbon Neutral Sustainable Technology Innovations. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 576-586). Atlantis Press.
41. Kumar, B. H., Nuka, S. T., Recharla, M., Chakilam, C., Suura, S. R., & Pandugula, C. (2025, July). Addressing Ethical Challenges in AI-Driven Health Predictions. In 2025 2nd International Conference on Computing and Data Science (ICCDS) (pp. 1-6). IEEE.
42. Maguluri, K. K., Ganti, V. K. A. T., Yasmeen, Z., & Pandugula, C. (2025, January). Progressive GAN framework for realistic chest X-ray synthesis and data augmentation. In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI) (pp. 755-760). IEEE.
43. Rani, P. S., Amistapuram, K., Pamisetty, V., Singireddy, S., Kummari, D. N., & Sheelam, G. K. (2025, November). Hybrid Knowledge Graph–Deep Learning Framework for Automated Exception Handling and Investigation in Complex Insurance Claims. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1-6). IEEE.
44. Vadisetty, R., Nuka, S. T., Kalisetty, S., Pandugula, C., Burugulla, J. K. R., & Annapareddy, V. N. (2025, February). Generative AI for Advanced Recycling Processes in Polyethylene and Polypropylene Manufacturing. In International Ethical Hacking Conference (pp. 269-284). Singapore: Springer Nature Singapore.
45. Kannan, S., Raghavendra, C., Kumar, J. S., Narayanasamy, S., Balaram, A., & Aravindh, S. (2025, May). Edge Computing and Artificial Intelligence Powered Dynamic Environmental Conservation Strategies for Sustainable Ecosystem Management and Predictive Climate Analysis. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 477-490). Atlantis Press.
46. Vellela, S. S., Purimetla, N. R., Rao, P. V., Daniel, V. A. A., Koppolu, H. K. R., & Janani, B. (2025). AI-Enabled Wearable Hemodynamic Monitoring System for Early Identification of Thrombotic Events. Vascular and Endovascular Review, 8(16s), 321-336.
47. 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).
48. Vadisetty, R., Kannan, S., Vankayalapati, R. K., Sriram, H. K., Chakilam, C., & Malempati, M. (2025, February). AI-Driven Analysis of Urban Heat Islands for Sustainable City Planning. In International Ethical Hacking Conference (pp. 131-147). Singapore: Springer Nature Singapore.
49. Endla, P., Kannan, S., Adhiyaman, M., Ramulu, K. P., Kumar, B. B. C., & Hemamalini, M. (2025, May). Sustainable Artificial Intelligence Orchestrated Urban Planning Models with Digital Twin Technology for Smart Cities and Green Development. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 1044-1058). Atlantis Press.
50. Meda, R., Motamary, S., Dodda, A., Kummari, D. N., Kaulwar, P. K., & Gadi, A. L. (2025, August). Edge-AI Integration for Accelerated Decision-Making in Industrial Robotics and Manufacturing Plants. In International Conference on Artificial Intelligence: Theory and Applications (pp. 332-344). Cham: Springer Nature Switzerland.
51. Koppolu, H. K. R., Gadi, A. L., Motamary, S., Dodda, A., & Suura, S. R. (2025). Dynamic Orchestration of Data Pipelines via Agentic AI: Adaptive Resource Allocation and Workflow Optimization in Cloud-Native Analytics Platforms. Metallurgical and Materials Engineering, 31(4), 625-637.
52. Nandal, N., Tyagi, K., Kumar, L., & Gadi, A. L. (2025, November). AI-Driven CV Analysis and Job Matching in HRM Using a Hybrid Fuzzy Logic-Deep Neural Network Approach for Higher Education. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1-6). IEEE.
53. Adusupalli, B., Malempati, M., Paleti, S., Mashetty, S., & Singireddy, J. (2025). Integrated financial ecosystems: AI-driven innovations in taxation, insurance, mortgage analytics, and community investment through cloud, big data, and advanced data engineering. Journal of Information Systems Engineering and Management, 10, 1103-1117.
54. Ceasar, M. J., Karthik, N. L., Paleti, S., & Devaru, S. D. B. Entrepreneurial risk-taking and cultural values: A global behavioral perspective.
55. 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.
56. Mahadevan, S. (2024). Empowering Manufacturing: Generative AI Revolutionizes ERP Application. Int. J. Innov. Sci. Res, 9, 593-595.
57. Polineni, T. N. S., Yasmeen, Z., Ganti, V. K. A. T., Nirvin, P., & Vignesh, P. (2025, February). Climate Change Perception and Adaptation Strategies for Crop Growth with CNN and BiGRU Models. In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-6). IEEE.
58. Suura, S. R., Chava, K., Chakilam, C., Nuka, S. T., Maguluri, K. K., & Goma, T. (2025, April). Blockchain-Based Secure and Scalable Models for Healthcare Network Traffic Monitoring and Optimization. In 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0 (pp. 1-6). IEEE.
59. Maguluri, K. K., Chandrasekar, M., Gorshetwar, S. D., Prasanna, S., Anusuya, M., & Vallarasu, K. (2025, February). Applications and advancements of nanoparticle-based drug delivery in lung cancer treatment. In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-6). IEEE.
60. Komaragiri, V. B., Keerthana, G., Fathima, S. K., Vats, S., Priya, R. V., & Sivagami, S. (2025, May). Quantum Computing Integrated Digital Interaction Platforms for Secure Public Engagement Decentralized Data Exchange and Policy Optimization. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 1989-2001). Atlantis Press.
61. Recharla, M., & Nuka, S. T. (2025). Translational Approaches To Commercializing Neurodegenerative Therapies: Bridging Laboratory Research With Clinical Practice. South Eastern European Journal of Public Health, 121-144.
62. KOTHAPALLI, S. L., SEENU, A., DILEEP, V., & YASMEEN, Z. (2025). THE FUTURE OF CUSTOMER ENGAGEMENT IN RETAIL BANKING: EXPLORING THE POTENTIAL OF AUGMENTED REALITY AND IMMERSIVE TECHNOLOGIES. INTERNATIONAL JOURNAL, 73(1), 72-79.
63. Inala, R. (2025). A Unified Framework for Agentic AI and Data Products: Enhancing Cloud, Big Data, and Machine Learning in Supply Chain, Insurance, Retail, and Manufacturing. EKSPLORIUM-BULETIN PUSAT TEKNOLOGI BAHAN GALIAN NUKLIR, 46(1), 1614-1628.
64. Amistapuram, K., Pandiri, L., Raju, V. R., Paleti, S., Singireddy, S., & Sheelam, G. K. (2025, December). 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.
65. Dodda, A., Polineni, T. N. S., Yasmeen, Z., Vankayalapati, R. K., & Ganti, V. K. A. T. (2025, January). Inclusive and Transparent Loan Prediction: A Cost-Sensitive Stacking Model for Financial Analytics. In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI) (pp. 749-754). IEEE.
66. Burugulla, J. K. R., Kannan, S., Malempati, M., Challa, H. A. H. S. R., Pandugula, C., & Goma, T. (2025, April). Federated Learning Based Cloud Computing Solutions with Privacy Preservation for Intelligent Utilities. In 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0 (pp. 1-6). IEEE.
67. 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.
68. 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.
69. Vankayalapati, R. K. (2025). Zero-trust security models for cloud data analytics: Enhancing privacy in distributed systems. Available at SSRN 5121185.
70. Sriram, H. K., Gadi, A. L., Challa, K., & Singreddy, S. (2025). Leveraging AI, ML, and Gen AI in Automotive and Financial Services: Data-Driven Approaches to Insurance, Payments, Identity Protection, and Sustainable Innovation. Anil Lokesh and Challa, Kishore and singreddy, Sneha, Leveraging AI, ML, and Gen AI in Automotive and Financial Services: Data-Driven Approaches to Insurance, Payments, Identity Protection, and Sustainable Innovation (March 25, 2025).
71. Mahadevan, S. (2024). Clouding the Future: Innovating Towards Net-Zero Emissions. International Journal of Computing and Engineering, 6(2), 17-23.
72. Narasareddy Annapareddy, V., Pamisetty, A., Malempati, M., Kaulwar, P. K., & Bhardwaj Komaragiri, V. (2025, April). Enhancing Solar Power System Efficiency Through AI-Driven Predictive Maintenance and Cloud-Based Infrastructure Stability Solutions. In International Conference on Smart Computing and Informatics (pp. 328-337). Cham: Springer Nature Switzerland.
