AI-Enabled Decision Support Systems for Operational Optimization in the Hospitality Industry
Abstract
The hospitality technology industry has advanced infrastructure with integrated information systems. Well-designed AI modules—within an established Data Ecosystem and Development Framework—can support various organizational roles and enhance efficiency, speed, and reliability. Managerial decisions often require the help of data- and/or model-driven Decision Support Systems (DSS), such as reporting dashboards, staff scheduling tools, inventory management systems, and revenue management solutions. Demand forecasting, operational-level staffing, inventory management, dynamic pricing, and service-level optimization are primary decision areas. However, several limits impede DSS effectiveness: lack of user trust, excessive cognitive load, inadequate validation and monitoring, and poorly executed data-driven embeddings. Well-designed AI DSS addresses the challenges.
The proposed DSS concepts combine Decision Science fundamentals with specific Hospitality Technology requirements. Five central dimensions apply: key phases in substantial decision-making processes; different Decision Support levels in the operational-executive domain; the roles of decision-makers—receivers, planners, and validators; Human-in-the-loop methodology; and theoretical pillars, including Robustness, Interpretability, and Explainability. With a suitable architecture, Data Ecosystem, specific methods, and Human-AI collaboration, an AI DSS can assist operational optimization.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 8 No. 5 (2025): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
14681-14690 |
Published |
September 13, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Dhanaraj Sathiri, Lucas van Dijk (%2025). AI-Enabled Decision Support Systems for Operational Optimization in the Hospitality Industry. International Journal of Science, Research and Technology , Vol. 8 No. 5 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 14681-14690. https://doi.org/10.15662/IJSRAT.2025.0805008 |
References
1. Loganathan, R. (2022). Converging Security Architecture and Compliance Management in Enterprise Data Center Ecosystems: A Unified Control Framework. International Journal of Scientific Research and Modern Technology, 1(12), 295-312.
2. Kolla, S. H., & Peddi, R. K. (2024). Designing Governance-Aligned GenAI Pipelines Using Small Language Models for Enterprise Workflow Intelligence. International Journal of Science, Research and Technology, 7(6), 13256-13268.
3. Mashetty, S. (2024). Redefining financial risk strategies: The integration of smart automation, secure access systems, and predictive intelligence in insurance, lending, and asset management. Journal of Artificial Intelligence and Big Data Disciplines (JAIBDD).
4. Davuluri, P. S. L. N. (2023). Integrating artificial intelligence into event-driven financial crime compliance platforms. International Journal of Finance, 36(6), 707-736.
5. Vamsee Pamisetty, Keerthi Amistapuram. (2024). Smart Decision Support Systems For Dynamic Tax Policy Optimization Using Reinforcement Learning. Metallurgical and Materials Engineering, 30(4), 976–995. https://doi.org/10.63278/mme.v30i4.1934
6. 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.
7. Kolla, T. (2024). Intelligent Discovery and Governance of Healthcare Data Assets Through AI-Powered Catalog Architectures. International Journal of Emerging Trends in Engineering and Management Research, 9(4), 16083.
8. Mangala, N. (2024). Leveraging Microsoft Fabric lakehouse as an AI-ready data platform for enterprise analytics. Journal of Information Systems Engineering and Management.
9. Reddy, V. A. R. (2024). Generative Intelligence for Healthcare Claims Processing and Personalized Benefits Management. International Journal of Advanced Engineering Science and Information Technology (IJAESIT), 7(3), 14099.
10. Kolla, S. K., & Reddy, V. A. R. (2024). Evaluating Cloud-Native vs. Hybrid Architectures for Health Benefit Administration Systems. International Journal of Medical Toxicology and Legal Medicine, 27(5), 1042-1053.
11. Vardhan Kumar Bandi, V. D. (2024). Automated Feature Engineering Systems in Large-Scale Healthcare Data Environments. Journal of Neonatal Surgery, 13(1), 2127-2141.
12. 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.
13. Davuluri, P. N. (2020). Improving Data Quality and Lineage in Regulated Financial Data Platforms. Finance and Economics, 1(1), 1-14.
14. Nagabhyru, K. C., & Engineer, S. D. (2023). Unifying Data Engineering and Machine Learning Pipelines: An Enterprise Roadmap to Automated Model Deployment.
15. Kolla, S. K. (2024). Clinical Knowledge Intelligence through Deep Learning and Natural Language Understanding in Healthcare Platforms. International Journal of Advanced Engineering Science and Information Technology (IJAESIT), 7(3), 14088.
16. Mangalampalli, B. M. (2024). AI-Enhanced Data Governance: Automating Compliance In Healthcare Analytics Platforms. The Review Of DIABETIC STUDIES OPEN ACCESS.
17. 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).
18. Mattaparthi, R. (2023). Connected Fleet Intelligence: Edge-Centric Analytics and Computer Vision for Predictive Manufacturing and Asset Resilience. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 6(5), 9077-9088.
19. Peddi, R. K. (2021). Optimizing Case Management Workflows in Global Data Center Colocation Services. Universal Journal of Computer Sciences and Communications, 1(1), 1-21.
20. 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.
21. Kolla, S. K., & Mangalampalli, B. M. (2024). Edge-Based Deep Learning Systems for Point-of-Care Diagnostic Intelligence. Journal of Neonatal Surgery, 13(1), 2387-2399.
22. Mangalampalli, B. M. (2024). Transparent Intelligence Explainability Frameworks for AI-Driven Clinical Decision Support in Healthcare Business Intelligence. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(3), 10566-10579.
23. Deep Learning-Driven Optimization of ISO 20022 Protocol Stacks for Secure Cross-Border Messaging. (2024). MSW Management Journal, 34(2), 1545-1554.
24. Nagabhyru, K. C. (2024). Data Engineering in the Age of Large Language Models: Transforming Data Access, Curation, and Enterprise Interpretation. Computer Fraud and Security, 2024(12).
25. Challa, K. (2024). Artificial Intelligence and Generative Neural Systems: Creating Smarter Customer Support Models for Digital Financial Services. Journal of Computational Analysis & Applications, 33(8).
26. Reddy Segireddy, A. (2024). Federated Cloud Approaches for Multi-Regional Payment Messaging Systems. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 15(2), 442-450.
27. Amistapuram, K. (2024). Federated Learning for Cross-Carrier Insurance Fraud Detection: Secure Multi-Institutional Collaboration. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6727-6738.
28. Inala, R. (2020). Building Foundational Data Products for Financial Services: A MDM-Based Approach to Customer, and Product Data Integration. Universal Journal of Finance and Economics, 1(1), 1-18.
29. Mukesh, A., & Aitha, A. R. (2021). Insurance Risk Assessment Using Predictive Modeling Techniques. International Journal of Emerging Research in Engineering and Technology, 2(4), 68-79.
30. Nagabhyru, K. C. (2023). Accelerating Digital Transformation with AI Driven Data Engineering: Industry Case Studies from Cloud and IoT Domains. Educational Administration: Theory and Practice, 29 (4), 5898–5910.
31. Kolla, S. H. (2022). Strategic Information Integration Models for Cross-Functional Service Optimization in Large-Scale Enterprises. International Journal of Emerging Trends in Engineering and Management Research, 7(3), 11811.
32. Paleti, S. (2024). Neural Compliance: Designing AI-Driven Risk Protocols for Real-Time Governance in Digital Banking Systems. Available at SSRN 5233099.
33. Aitha, A. R. (2022). Deep Neural Networks for Property Risk Prediction Leveraging Aerial and Satellite Imaging. International Journal of Communication Networks and Information Security (IJCNIS), 14(3), 1308-1318.
34. Avinash Pamisetty, Vijaya Rama Raju Gottimukkala. (2024). Agentic AI-Driven Multi-Cloud Big Data Architecture For Predictive Demand, Credit Risk, And Inventory Financing In National Food Service Supply Chains. Metallurgical and Materials Engineering, 30(4), 959–975. https://doi.org/10.63278/mme.v30i4.1933
35. Ranga Reddy, V. A. (2024). Comparing Batch vs. Streaming Approaches in Healthcare Data Warehousing Environments. Journal of Neonatal Surgery, 13(1), 2287-2309.
36. Kolla, T. (2024). AI-Powered Data Catalog Systems For Healthcare Data Discovery And Governance. South Eastern European Journal of Public Health, 2296–2311. https://doi.org/10.70135/seejph.vi.7077
37. 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.
38. Amistapuram, K. (2024). Smart Decision Support Systems For Dynamic Tax Policy Optimization Using Reinforcement Learning. Available at SSRN.
39. Inala, R., & Somu, B. (2024). Agentic ai in retail banking: Redefining customer service and financial decision-making. Journal of Artificial Intelligence and Big Data Disciplines, 1(1), 1-19.
40. Kolla, S. H. (2024). Retrieval-Augmented Enterprise Intelligence: Enhancing Accuracy, Trust, and Operational Decision-Making. International Journal of Future Innovative Science and Technology (IJFIST), 7(2), 12425.
41. Gottimukkala, V. R. R. (2024). Federated Learning Approaches for Fraud Detection in International Payment Systems. https://www. jisem-journal. com/download/118_JISEM. pdf.
42. Segireddy, A. R. (2024). Machine Learning-Driven Anomaly Detection in CI/CD Pipelines for Financial Applications. Journal of Computational Analysis and Applications, 33(8).
43. Adusupalli, B., & Insurity-Lead, A. C. E. (2024). The role of internal audit in enhancing corporate governance: A comparative analysis of risk management and compliance strategies. Outcomes. Journal for ReAttach Therapy and Developmental Diversities, 6, 1921-1937.
44. Aitha, A. R. (2024). Generative AI-Powered Fraud Detection in Workers' Compensation: A DevOps-Based Multi-Cloud Architecture Leveraging, Deep Learning, and Explainable AI. Computer Fraud and Security.
45. Kolla, S. K. (2024). Federated Machine Learning On Big Healthcare Data For Privacy-Preserving Analytics. The Review of Diabetic Studies, 175-190.
46. Paleti, S. (2024). Data engineering for AI-powered compliance: A new paradigm in banking risk management. Available at SSRN 5256619.
47. Challa, K. (2024). Neural Networks in Inclusive Financial Systems: Generative AI for Bridging the Gap Between Technology and Socioeconomic Equity. MSW Management Journal, 34(2), 749-763.
48. Kolla, S. K., & Mangalampalli, B. M. (2024). Edge-Based Deep Learning Systems for Point-of-Care Diagnostic Intelligence. Journal of Neonatal Surgery, 13(1), 2387-2399.
49. Adusupalli, B. (2024). Agentic AI-Driven Identity and Access Management Framework for Secure Insurance Ecosystems. Journal of Computational Analysis and Applications(JoCAAA), 33(08), 2794-2814.
50. Mashetty, S. (2024). The role of US patents and trademarks in advancing mortgage financing technologies. European Advanced Journal for Science & Engineering (EAJSE)-p-ISSN, 3050-9696.
51. Meda, R. (2024). Agentic AI in Multi-Tiered Paint Supply Chains: A Case Study on Efficiency and Responsiveness. Journal of Compu-tational Analysis and Applications (JoCAAA), 33(08), 3994-4015.
52. Joshi, A., Sujatha, G., Gupta, N., Kumar, R., Sen, M. K., Ish, P., ... & Popalwar, H. (2024). Clinical utility of pulmonary rehabilitation in diffuse parenchymal lung diseases. Journal of Advanced Lung Health, 4(3), 159-165.
53. Bandi, V. D. V. K. (2024). Intelligent Data Platforms For Personalized Retail Analytics At Scale. Metallurgical and Materials Engineering, 30 (4), 1011–1027.
54. 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.
55. Kolla, T. (2024). Graph Neural Networks for HCC Risk Adjustment and Interoperability. International Journal of Science, Research and Technology, 7(6), 13244-13255.
56. Nampalli, R. C. R., & Adusupalli, B. (2024). Using Machine Learning for Predictive Freight Demand and Route Optimization in Road and Rail Logistics. Library of Progress-Library Science. Information Technology & Computer, 44(3).
57. Mashetty, S. (2024). Research insights into the intersection of mortgage analytics, community investment, and affordable housing policy. Available at SSRN 5249213.
58. Meda, R., & Pamisetty, A. (2023). Intelligent Infrastructure for Real-Time Inventory and Logistics in Retail Supply Chains. Educational Administration: Theory and Practice, 29(4), 5215-5233.
59. Kolla, S., Meda, R., Balleda, L., & Thimmapuram, C. R. (2024). The utility value of ROX index and modified ROX index in determining the efficiency of HFNC in children admitted with respiratory distress. International Journal of Contemporary Pediatrics, 11(6), 775.
60. Inala, R. (2021). A New Paradigm in Retirement Solution Platforms: Leveraging Data Governance to Build AI-Ready Data Products. Journal of International Crisis and Risk Communication Research, 286-310.
61. Bandi, V. D. V. K. (2024). AI-Driven Predictive Risk Modeling Architectures for Financial Systems. International Journal Of Finance, 37(3), 54-78.
62. Mangala, N. (2021). CI/CD Pipeline Automation for Enterprise Data Artifacts Using Azure DevOps. Universal Journal of Business and Management, 1(1), 1-18.
63. Challa, K. (2024). Enhancing credit risk assessment using AI and big data in modern finance. American Data Science Journal for Advanced Computations (ADSJAC) ISSN, 3067-4166.
64. Paleti, S. (2024). Transforming financial risk management with AI and data engineering in the modern banking sector. American Journal of Analytics and Artificial Intelligence (ajaai) with ISSN.
2. Kolla, S. H., & Peddi, R. K. (2024). Designing Governance-Aligned GenAI Pipelines Using Small Language Models for Enterprise Workflow Intelligence. International Journal of Science, Research and Technology, 7(6), 13256-13268.
3. Mashetty, S. (2024). Redefining financial risk strategies: The integration of smart automation, secure access systems, and predictive intelligence in insurance, lending, and asset management. Journal of Artificial Intelligence and Big Data Disciplines (JAIBDD).
4. Davuluri, P. S. L. N. (2023). Integrating artificial intelligence into event-driven financial crime compliance platforms. International Journal of Finance, 36(6), 707-736.
5. Vamsee Pamisetty, Keerthi Amistapuram. (2024). Smart Decision Support Systems For Dynamic Tax Policy Optimization Using Reinforcement Learning. Metallurgical and Materials Engineering, 30(4), 976–995. https://doi.org/10.63278/mme.v30i4.1934
6. 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.
7. Kolla, T. (2024). Intelligent Discovery and Governance of Healthcare Data Assets Through AI-Powered Catalog Architectures. International Journal of Emerging Trends in Engineering and Management Research, 9(4), 16083.
8. Mangala, N. (2024). Leveraging Microsoft Fabric lakehouse as an AI-ready data platform for enterprise analytics. Journal of Information Systems Engineering and Management.
9. Reddy, V. A. R. (2024). Generative Intelligence for Healthcare Claims Processing and Personalized Benefits Management. International Journal of Advanced Engineering Science and Information Technology (IJAESIT), 7(3), 14099.
10. Kolla, S. K., & Reddy, V. A. R. (2024). Evaluating Cloud-Native vs. Hybrid Architectures for Health Benefit Administration Systems. International Journal of Medical Toxicology and Legal Medicine, 27(5), 1042-1053.
11. Vardhan Kumar Bandi, V. D. (2024). Automated Feature Engineering Systems in Large-Scale Healthcare Data Environments. Journal of Neonatal Surgery, 13(1), 2127-2141.
12. 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.
13. Davuluri, P. N. (2020). Improving Data Quality and Lineage in Regulated Financial Data Platforms. Finance and Economics, 1(1), 1-14.
14. Nagabhyru, K. C., & Engineer, S. D. (2023). Unifying Data Engineering and Machine Learning Pipelines: An Enterprise Roadmap to Automated Model Deployment.
15. Kolla, S. K. (2024). Clinical Knowledge Intelligence through Deep Learning and Natural Language Understanding in Healthcare Platforms. International Journal of Advanced Engineering Science and Information Technology (IJAESIT), 7(3), 14088.
16. Mangalampalli, B. M. (2024). AI-Enhanced Data Governance: Automating Compliance In Healthcare Analytics Platforms. The Review Of DIABETIC STUDIES OPEN ACCESS.
17. 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).
18. Mattaparthi, R. (2023). Connected Fleet Intelligence: Edge-Centric Analytics and Computer Vision for Predictive Manufacturing and Asset Resilience. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 6(5), 9077-9088.
19. Peddi, R. K. (2021). Optimizing Case Management Workflows in Global Data Center Colocation Services. Universal Journal of Computer Sciences and Communications, 1(1), 1-21.
20. 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.
21. Kolla, S. K., & Mangalampalli, B. M. (2024). Edge-Based Deep Learning Systems for Point-of-Care Diagnostic Intelligence. Journal of Neonatal Surgery, 13(1), 2387-2399.
22. Mangalampalli, B. M. (2024). Transparent Intelligence Explainability Frameworks for AI-Driven Clinical Decision Support in Healthcare Business Intelligence. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(3), 10566-10579.
23. Deep Learning-Driven Optimization of ISO 20022 Protocol Stacks for Secure Cross-Border Messaging. (2024). MSW Management Journal, 34(2), 1545-1554.
24. Nagabhyru, K. C. (2024). Data Engineering in the Age of Large Language Models: Transforming Data Access, Curation, and Enterprise Interpretation. Computer Fraud and Security, 2024(12).
25. Challa, K. (2024). Artificial Intelligence and Generative Neural Systems: Creating Smarter Customer Support Models for Digital Financial Services. Journal of Computational Analysis & Applications, 33(8).
26. Reddy Segireddy, A. (2024). Federated Cloud Approaches for Multi-Regional Payment Messaging Systems. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 15(2), 442-450.
27. Amistapuram, K. (2024). Federated Learning for Cross-Carrier Insurance Fraud Detection: Secure Multi-Institutional Collaboration. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6727-6738.
28. Inala, R. (2020). Building Foundational Data Products for Financial Services: A MDM-Based Approach to Customer, and Product Data Integration. Universal Journal of Finance and Economics, 1(1), 1-18.
29. Mukesh, A., & Aitha, A. R. (2021). Insurance Risk Assessment Using Predictive Modeling Techniques. International Journal of Emerging Research in Engineering and Technology, 2(4), 68-79.
30. Nagabhyru, K. C. (2023). Accelerating Digital Transformation with AI Driven Data Engineering: Industry Case Studies from Cloud and IoT Domains. Educational Administration: Theory and Practice, 29 (4), 5898–5910.
31. Kolla, S. H. (2022). Strategic Information Integration Models for Cross-Functional Service Optimization in Large-Scale Enterprises. International Journal of Emerging Trends in Engineering and Management Research, 7(3), 11811.
32. Paleti, S. (2024). Neural Compliance: Designing AI-Driven Risk Protocols for Real-Time Governance in Digital Banking Systems. Available at SSRN 5233099.
33. Aitha, A. R. (2022). Deep Neural Networks for Property Risk Prediction Leveraging Aerial and Satellite Imaging. International Journal of Communication Networks and Information Security (IJCNIS), 14(3), 1308-1318.
34. Avinash Pamisetty, Vijaya Rama Raju Gottimukkala. (2024). Agentic AI-Driven Multi-Cloud Big Data Architecture For Predictive Demand, Credit Risk, And Inventory Financing In National Food Service Supply Chains. Metallurgical and Materials Engineering, 30(4), 959–975. https://doi.org/10.63278/mme.v30i4.1933
35. Ranga Reddy, V. A. (2024). Comparing Batch vs. Streaming Approaches in Healthcare Data Warehousing Environments. Journal of Neonatal Surgery, 13(1), 2287-2309.
36. Kolla, T. (2024). AI-Powered Data Catalog Systems For Healthcare Data Discovery And Governance. South Eastern European Journal of Public Health, 2296–2311. https://doi.org/10.70135/seejph.vi.7077
37. 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.
38. Amistapuram, K. (2024). Smart Decision Support Systems For Dynamic Tax Policy Optimization Using Reinforcement Learning. Available at SSRN.
39. Inala, R., & Somu, B. (2024). Agentic ai in retail banking: Redefining customer service and financial decision-making. Journal of Artificial Intelligence and Big Data Disciplines, 1(1), 1-19.
40. Kolla, S. H. (2024). Retrieval-Augmented Enterprise Intelligence: Enhancing Accuracy, Trust, and Operational Decision-Making. International Journal of Future Innovative Science and Technology (IJFIST), 7(2), 12425.
41. Gottimukkala, V. R. R. (2024). Federated Learning Approaches for Fraud Detection in International Payment Systems. https://www. jisem-journal. com/download/118_JISEM. pdf.
42. Segireddy, A. R. (2024). Machine Learning-Driven Anomaly Detection in CI/CD Pipelines for Financial Applications. Journal of Computational Analysis and Applications, 33(8).
43. Adusupalli, B., & Insurity-Lead, A. C. E. (2024). The role of internal audit in enhancing corporate governance: A comparative analysis of risk management and compliance strategies. Outcomes. Journal for ReAttach Therapy and Developmental Diversities, 6, 1921-1937.
44. Aitha, A. R. (2024). Generative AI-Powered Fraud Detection in Workers' Compensation: A DevOps-Based Multi-Cloud Architecture Leveraging, Deep Learning, and Explainable AI. Computer Fraud and Security.
45. Kolla, S. K. (2024). Federated Machine Learning On Big Healthcare Data For Privacy-Preserving Analytics. The Review of Diabetic Studies, 175-190.
46. Paleti, S. (2024). Data engineering for AI-powered compliance: A new paradigm in banking risk management. Available at SSRN 5256619.
47. Challa, K. (2024). Neural Networks in Inclusive Financial Systems: Generative AI for Bridging the Gap Between Technology and Socioeconomic Equity. MSW Management Journal, 34(2), 749-763.
48. Kolla, S. K., & Mangalampalli, B. M. (2024). Edge-Based Deep Learning Systems for Point-of-Care Diagnostic Intelligence. Journal of Neonatal Surgery, 13(1), 2387-2399.
49. Adusupalli, B. (2024). Agentic AI-Driven Identity and Access Management Framework for Secure Insurance Ecosystems. Journal of Computational Analysis and Applications(JoCAAA), 33(08), 2794-2814.
50. Mashetty, S. (2024). The role of US patents and trademarks in advancing mortgage financing technologies. European Advanced Journal for Science & Engineering (EAJSE)-p-ISSN, 3050-9696.
51. Meda, R. (2024). Agentic AI in Multi-Tiered Paint Supply Chains: A Case Study on Efficiency and Responsiveness. Journal of Compu-tational Analysis and Applications (JoCAAA), 33(08), 3994-4015.
52. Joshi, A., Sujatha, G., Gupta, N., Kumar, R., Sen, M. K., Ish, P., ... & Popalwar, H. (2024). Clinical utility of pulmonary rehabilitation in diffuse parenchymal lung diseases. Journal of Advanced Lung Health, 4(3), 159-165.
53. Bandi, V. D. V. K. (2024). Intelligent Data Platforms For Personalized Retail Analytics At Scale. Metallurgical and Materials Engineering, 30 (4), 1011–1027.
54. 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.
55. Kolla, T. (2024). Graph Neural Networks for HCC Risk Adjustment and Interoperability. International Journal of Science, Research and Technology, 7(6), 13244-13255.
56. Nampalli, R. C. R., & Adusupalli, B. (2024). Using Machine Learning for Predictive Freight Demand and Route Optimization in Road and Rail Logistics. Library of Progress-Library Science. Information Technology & Computer, 44(3).
57. Mashetty, S. (2024). Research insights into the intersection of mortgage analytics, community investment, and affordable housing policy. Available at SSRN 5249213.
58. Meda, R., & Pamisetty, A. (2023). Intelligent Infrastructure for Real-Time Inventory and Logistics in Retail Supply Chains. Educational Administration: Theory and Practice, 29(4), 5215-5233.
59. Kolla, S., Meda, R., Balleda, L., & Thimmapuram, C. R. (2024). The utility value of ROX index and modified ROX index in determining the efficiency of HFNC in children admitted with respiratory distress. International Journal of Contemporary Pediatrics, 11(6), 775.
60. Inala, R. (2021). A New Paradigm in Retirement Solution Platforms: Leveraging Data Governance to Build AI-Ready Data Products. Journal of International Crisis and Risk Communication Research, 286-310.
61. Bandi, V. D. V. K. (2024). AI-Driven Predictive Risk Modeling Architectures for Financial Systems. International Journal Of Finance, 37(3), 54-78.
62. Mangala, N. (2021). CI/CD Pipeline Automation for Enterprise Data Artifacts Using Azure DevOps. Universal Journal of Business and Management, 1(1), 1-18.
63. Challa, K. (2024). Enhancing credit risk assessment using AI and big data in modern finance. American Data Science Journal for Advanced Computations (ADSJAC) ISSN, 3067-4166.
64. Paleti, S. (2024). Transforming financial risk management with AI and data engineering in the modern banking sector. American Journal of Analytics and Artificial Intelligence (ajaai) with ISSN.