Redefining Healthcare and Workforce Engagement: A Comprehensive Examination of AI, Skill Development, and Incentives in Banking, Healthcare, and Fraud Prevention in the Petroleum Industry
Keywords:
Artificial Intelligence, Cloud Computing, Healthcare Innovations, Posture Management, Cloud Security, Query Optimization, Predictive Analytics, Training and Development, Data Security, and EmployeeAbstract
This thorough investigation explores how cutting-edge technologies like artificial intelligence (AI) and cloud computing are revolutionizing a number of industries, with particular attention to supply chain risk management, employee performance, cloud security, healthcare innovations, and database optimization. Emphasizing the link between ongoing learning and better organizational outcomes, the need of training and development is emphasized, especially in improving employee performance within the banking industry in Noakhali. Block chain technology and AI's involvement in predictive analytics in healthcare provide patient-centered care and safe data management while posing crucial privacy and ethical questions. Cloud Security Posture Management (CSPM), which emphasizes automated risk detection and ongoing monitoring to protect sensitive data, becomes a crucial approach for businesses using cloud environments. AI-driven query optimization in relational databases is also discussed, demonstrating how this technology may automate processes and improve performance and resource efficiency. Additionally, supply chain management predictive analytics driven by AI gives businesses the insight they need to anticipate possible disruptions, enhancing stakeholder collaboration and resilience. The combination of these observations emphasizes how important it is for businesses to embrace strategic approaches to technology integration in order to improve operational effectiveness and promote long-term success. Businesses can position themselves for success in a competitive context by utilizing these innovations to build a framework that is safe, effective, and flexible enough to handle the challenges of a changing environment.
References
Ellahi, R.M., Khan, M.U.A. and Shah, A., 2019. Redesigning Curriculum in line with Industry 4.0. Procedia computer science, 151, pp.699-708. Elliott, V., 2018. Thinking about the coding process in qualitative data analysis. The Qualitative Report, 23(11), pp.2850-2861.
Khan, M. I., Arif, A., & Khan, A. R. A. (2024). AI-Driven Threat Detection: A Brief Overview of AI Techniques in Cybersecurity. BIN: Bulletin of Informatics, 2(2), 248-261.
Wu, X.; Chen, J.; Wu, M.; Zhao, J. X. A tamers: Active Targeting Ligands for Cancer Diagnosis and Therapy. Theranostics 2015, 5 (4), 322.
Zhang, L.; Radovic-Moreno, A. F.; Alexis, F.; Gu, F. X.; Basto, P. A.; Bagalkot, V.; Jon, S.; Langer, R. S.; Farokhzad, O. C. Codelivery of Hydrophobic and Hydrophilic Drugs from NanoparticleAptamer Bioconjugates. ChemMedChem: Chemistry Enabling Drug Discovery 2007, 2 (9), 1268−1271. (161)
Aravind, A.; Varghese, S. H.; Veeranarayanan, S.; Mathew, A.; Nagaoka, Y.; Iwai, S.; Fukuda, T.; Hasumura, T.; Yoshida, Y.; Maekawa, T.; Kumar, D. S. Aptamer-Labeled PLGA Nanoparticles for Targeting Cancer Cells. Cancer Nanotechnol 2012, 3 (1), 1−12.
Khan, M. I., Arif, A., & Khan, A. (2024). AI's Revolutionary Role in Cyber Defense and Social Engineering. International Journal of Multidisciplinary Sciences and Arts, 3(4), 57-66.
Jeni, F. A., & Al-Amin, M. (2021). The impact of training and development on employee performance and productivity: An Empirical Study on Private Bank of Noakhali Region in Bangladesh. South Asian Journal of Social Studies and Economics, 9(2), 1-18.
Husnain, A., Alomari, G., & Saeed, A. AI-Driven Integrated Hardware and Software Solution for EEG-Based Detection of Depression and Anxiety.
Fajaryati, N. and Akhyar, M., 2020. The employability skills needed to face the demands of work in the future: Systematic literature reviews. Open Engineering, 10(1), pp.595-603
B. L. Lee, C. Wilson, P. Simshauser, and E. Majiwa, “Deregulation, efficiency and policy determination: An analysis of australia’s electricity distribution sector,” Energy Economics, p. 105210, 2021.
J. D. Hunt, E. Byers, Y. Wada, S. Parkinson, D. E. Gernaat, S. Langan, D. P. van Vuuren, and K. Riahi, “Global resource potential of seasonal pumped hydropower storage for energy and water storage,” Nature communications, vol. 11, no. 1, pp. 1–8, 2020
Khan, M. I., Arif, A., & Khan, A. R. A. (2024). The Most Recent Advances and Uses of AI in Cybersecurity. BULLET: Jurnal Multidisiplin Ilmu, 3(4), 566-578.
Jacoby WG. Electoral inquiry section loess: A nonparametric, graphical tool for depicting relationships between variables q. In; 2000.
Elayyan, S., 2021. The future of education according to the fourth industrial revolution, Journal of Educational Technology & Online Learning, 4(1), pp.24-30.
Lodhi, S. K., Hussain, H. K., & Gill, A. Y. (2024). Renewable Energy Technologies: Present Patterns and Upcoming Paths in Ecological Power Production. Global Journal of Universal Studies, 1(1), 108-131.
Lodhi, S. K., Hussain, H. K., & Hussain, I. (2024). Using AI to Increase Heat Exchanger Efficiency: An Extensive Analysis of Innovations and Uses. International Journal of Multidisciplinary Sciences and Arts, 3(4), 1-14.
Erdani, Y., 2005. Acquisition of human expert knowledge for rule-based knowledge-based systems using ternary grid (Doctoral dissertation, Universitätsbibliothek Duisburg). 216
Uzzaman, A., Jim, M. M. I., Nishat, N., & Nahar, J. (2024). Optimizing SQL databases for big data workloads: techniques and best practices. Academic Journal on Business Administration, Innovation & Sustainability, 4(3), 15-29.
Lodhi, S. K., Gill, A. Y., & Hussain, I. (2024). AI-Powered Innovations in Contemporary Manufacturing Procedures: An Extensive Analysis. International Journal of Multidisciplinary Sciences and Arts, 3(4), 15-25.
Husnain, A., & Saeed, A. (2024). AI-enhanced depression detection and therapy: Analyzing the VPSYC system. IRE Journals, 8(2), 162-168.
L. Cheng and T. Yu, “A new generation of ai: A review and perspective on machine learning technologies applied to smart energy and electric power systems,” International Journal of Energy Research, vol. 43, no. 6, pp. 1928–1973, 2019.
M. Akhloufi and N. Benmesbah, “Outdoor ice accretion estimation of wind turbine blades using computer vision,” in 2014 Canadian Conference on Computer and Robot Vision. IEEE, 2014, pp. 246–253
Elbanna, Said, 2021. Policy and practical implications for workforce nationalization in the Gulf Cooperation Council (GCC) countries. Personnel review, 51(4), pp.1248-1261.
Rahman, M. A., & Jim, M. M. I. (2024). Addressing Privacy And Ethical Considerations In Health Information Management Systems (IMS). International Journal of Health and Medical, 1(2), 1-13.
Jeni, F. A., Mutsuddi, P., & Das, S. (2020). The impact of rewards on employee performance: a study of commercial banks in Noakhali Region. Journal of Economics, Management and Trade, 26(9), 28-43.
Jim, M. M. I., Hasan, M., Sultana, R., & Rahman, M. M. (2024). Machine Learning Techniques for Automated Query Optimization in Relational Databases. International Journal of Advanced Engineering Technologies and Innovations, 1(3), 514-529.
Casadesus-Masanell R, Ricart JE. How to design a winning business model. Harvard Business Review; 2011. Available: https://hbr.org/2011/01/how-todesign-a-winning-business-model Access on 2020 Jan 8.
Baima G, Forliano C, Santoro G, Vrontis D. Intellectual capital and business model: A systematic literature review to explore their linkages. J Intellect Cap; 2020. Available:https://doi.org/10.1108/JIC-02- 2020-0055
Choudhary, V., Mehta, A., Patel, K., Niaz, M., Panwala, M., & Nwagwu, U. (2024). Integrating Data Analytics and Decision Support Systems in Public Health Management. South Eastern European Journal of Public Health, 158-172.
Lodhi, S. K., Gill, A. Y., & Hussain, I. (2024). 3D Printing Techniques: Transforming Manufacturing with Precision and Sustainability. International Journal of Multidisciplinary Sciences and Arts, 3(3), 129-138.
U. of Haifa. Exposure to ’white’ light leds appears to suppress body’s production of melatonin more than certain other lights, research suggests. https://www.sciencedaily.com/releases/2011/ 09/110912092554.htm, last accessed on 04/04/21.
Lodhi, S. K., Gill, A. Y., & Hussain, H. K. (2024). Green Innovations: Artificial Intelligence and Sustainable Materials in Production. BULLET: Jurnal Multidisiplin Ilmu, 3(4), 492-507.
Lashari, Z. A., Lalji, S. M., Ali, S. I., Kumar, D., Khan, B., & Tunio, U. (2024). Physiochemical analysis of titanium dioxide and polyacrylamide nanofluid for enhanced oil recovery at low salinity. Chemical Papers, 78(6), 3629-3637.
Arif, A., Khan, A., & Khan, M. I. (2024). Role of AI in Predicting and Mitigating Threats: A Comprehensive Review. JURIHUM: Jurnal Inovasi dan Humaniora, 2(3), 297-311.
Liu, J.; Wei, T.; Zhao, J.; Huang, Y.; Deng, H.; Kumar, A.; Wang, C.; Liang, Z.; Ma, X.; Liang, X.-J. Multifunctional AptamerBased Nanoparticles for Targeted Drug Delivery to Circumvent Cancer Resistance. Biomaterials 2016, 91, 44−56.
Edwards, J. R., 1991, Person-Job Fit: A Conceptual Integration, Literature Review, and Methodological Critique. Oxford: John Wiley & Sons.
Rahman, M., Hasan, M., Rahman, M., & Momotaj, M. (2024). A Framework for Patient-Centric Consent Management Using Blockchain Smart Contracts in Pre-dictive Analysis for Healthcare In-dustry. International Journal of Health Systems and Medical Sci-ences, 3(3), 45-59.
Lodhi, S. K., Hussain, I., & Gill, A. Y. (2024). Artificial Intelligence: Pioneering the Future of Sustainable Cutting Tools in Smart Manufacturing. BIN: Bulletin of Informatics, 2(1), 147-162.
Gonsalves T. The summers and winters of artificial intelligence. In: Advanced methodologies and technologies in artificial intelligence, computer simulation, and human-computer interaction. IGI Global. 2019; 168–179.
Gurman M. Apple accelerates work on car project, aiming for fully autonomous vehicle; 2021. Available:https://www.bloomberg.com/new s/articles/2021-11-18/apple-accelerateswork-on-car-aims-for-fully-autonomousvehicle
Arif, A., Khan, M. I., & Khan, A. (2024). An overview of cyber threats generated by AI. International Journal of Multidisciplinary Sciences and Arts, 3(4), 67-76.
IBM: Quantum computing; 2022. Available:https://research.ibm.com/quantu m-computing 17. Ireland C. Alan Turing at 100; 2012. Available:https://news.harvard.edu/gazette/ story/2012/09/alan-turing-at-100
F. Leach, G. Kalghatgi, R. Stone, and P. Miles, “The scope for improving the efficiency and environmental impact of internal combustion engines,” Transportation engineering, p. 100005, 2020.
Valli, L. N. (2024). A succinct synopsis of predictive analytics for fraud detection and credit scoring in BFSI. JURIHUM: Jurnal Inovasi dan Humaniora, 2(2), 200-213.
S. Wang, D. Wang, Z. Yu, X. Dong, S. Liu, H. Cui, and B. Sun, “Advances in research on petroleum biodegradability in soil,” Environmental Science: Processes & Impacts, vol. 23, no. 1, pp. 9–27, 2021
Lashari, Z. A., Lalji, S. M., Ali, S. I., Kumar, D., Khan, B., & Tunio, U. (2024). Physiochemical analysis of titanium dioxide and polyacrylamide nanofluid for enhanced oil recovery at low salinity. Chemical Papers, 78(6), 3629-3637.
Enders, J. and Naidoo, R., 2022. The Competition Fetish in Business Schools: Challenges and Responses. EFMD GLOBAL, 1(2022). Available from: https://www.globalfocusmagazine.com/ [Accessed 12 April 2023].
Hussain, S. M. Arif, and M. Aslam, “Emerging renewable and sustainable energy technologies: State of the art,” Renewable and Sustainable Energy Reviews, vol. 71, pp. 12–28, 2017
Mehta, A., Niaz, M., Uzowuru, I. M., & Nwagwu, U. Implementation of the Latest Artificial Intelligence Technology Chatbot on Sustainable Supply Chain Performance on Project-Based Manufacturing Organization: A Parallel Mediation Model in the American Context.
Hasan, M., Al Sany, S. A., & Swarnali, S. H. (2024). HARNESSING BIG DATA AND MACHINE LEARNING FOR TRANSFORMATIVE HEALTHCARE INFORMATION MANAGEMENT. Unique Endeavor in Business & Social Sciences, 3(1), 231-245.
Rahman, A., Ashrafuzzaman, M., Jim, M. M. I., & Sultana, R. (2024). Cloud Security Posture Management Automating Risk Identification and Response In Cloud Infrastructures. Academic Journal on Science, Technology, Engineering & Mathematics Education, 4(03), 151-162.
Valli, L. N. (2024). Predictive Analytics Applications for Risk Mitigation across Industries; A review. BULLET: Jurnal Multidisiplin Ilmu, 3(4), 542-553.
Husnain, A., Alomari, G., & Saeed, A. AI-Driven Integrated Hardware and Software Solution for EEG-Based Detection of Depression and Anxiety.
Fakunle, O. and Higson, H., 2021. Interrogating theoretical and empirical approaches to employability in different global regions. Higher Education Quarterly, 75(4), pp.525-534.
Kejriwal M. Domain-specific knowledge graph construction. Springer; 2019. 19. Kejriwal M, Knoblock CA, Szekely P. Knowledge graphs: Fundamentals, techniques, and applications. MIT Press; 2021.
Ruff KM, Pappu RV. Alphafold and implications for intrinsically disordered proteins. Journal of Molecular Biology. 2021; 433.
Hamid S. The opportunities and risks of artificial intelligence in medicine and healthcare; 2016. Available: http://www.cuspe.org/wpcontent/uploads/2016/09/Hamid_2016.pdf Access on 2020 May 29.
Rauf, M. A., Jim, M. M. I., Rahman, M. M., & Tariquzzaman, M. (2024). AI-POWERED PREDICTIVE ANALYTICS FOR INTELLECTUAL PROPERTY RISK MANAGEMENT IN SUPPLY CHAIN OPERATIONS: A BIG DATA APPROACH. International Journal of Science and Engineering, 1(04), 32-46.
