AI-ENHANCED DISASTER RECOVERY: A COLLABORATIVE APPROACH

Authors

  • Suhas Lakum Parkplace Technologies, USA Author

Keywords:

Artificial Intelligence, Disaster Recovery, Healthcare Resilience, Predictive Analytics, Human-AI Collaboration

Abstract

The revolutionary incorporation of artificial intelligence in disaster recovery frameworks is examined in this extensive article, which highlights the critical balance between human oversight and technological innovation. The article looks at how traditional disaster recovery strategies have been transformed by AI-driven solutions in a number of industries, most notably healthcare and financial services. It shows how AI significantly improves organizational resilience through a thorough examination of case studies, implementation tactics, and best practices. The article highlights the critical role of human experience in strategic planning and decision-making while encompassing essential elements of contemporary DR solutions, such as automated failover systems, anomaly detection, and predictive analytics. It also sheds light on effective implementation strategies, highlighting the significance of thorough testing, staggered deployment, and ongoing performance metrics monitoring.

References

E. Lewis, "From Whispers to Warnings: The Evolution of AI in Disaster Management," LinkedIn, April 2024. [Online]. Available: https://www.linkedin.com/pulse/from-whispers-warnings-evolution-ai-disaster-management-edward-lewis-ydx9f

InsightAce Analytic, "Artificial Intelligence in Disaster Risk Market Size, Share & Trends Analysis Report, By Type (Supervised Learning, Unsupervised Learning, Reinforcement Learning) By Application (Early Warning Systems, Risk Assessment and Analysis, Response and Recovery Optimization, Damage Assessment and Monitoring) By Sector, By Application, By Region, Forecasts, 2024-2031," InsightAce Analytic Research Report, 2023. [Online]. Available: https://www.insightaceanalytic.com/report/artificial-intelligence-in-disaster-risk-market/2757

Lazima Faiah Bari et al., "Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health," National Library of Medicine, Dec. 2023. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC10712270/

P. Chatterjee and R. Arora, "Leveraging AI in Disaster Recovery: The Future of Business Continuity," International Journal of Research In Computer Applications and Information Technology (IJRCAIT) Volume 7, Issue 2, Jul-Dec 2024. Available: https://iaeme.com/MasterAdmin/Journal_uploads/IJRCAIT/VOLUME_7_ISSUE_2/IJRCAIT_07_02_130.pdf

Yatin Sapra, "AI in Disaster Management: How Artificial Intelligence is Saving Lives in Emergencies," HashStudioz Blog, Nov. 2024. [Online]. Available: https://hashstudioz.com/blog/ai-in-disaster-management-how-artificial-intelligence-is-saving-lives-in-emergencies/

I2K2 Networks, "How AI and ML can be Silent Heroes in Disaster Recovery Solutions," I2K2 Networks Blog, Feb. 2024. [Online]. Available: https://www.i2k2.com/blog/how-ai-and-ml-can-be-silent-heroes-in-disaster-recovery-solutions/

Davor Horvatić and Tomislav Lipic, "Human-Centric AI: The Symbiosis of Human and Artificial Intelligence," National Library of Medicine, March 2021. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC7998306/

D. Thomas, "Real-Time Human Oversight in AI-Driven Disaster Response," LinkedIn Professional Insights, July 2024. [Online]. Available: https://www.linkedin.com/pulse/real-time-human-oversight-ai-driven-disaster-response-daisy-thomas-cy3kf

B. King, "How AI-Driven Transformation of Global Financial Services will Likely Unfold," LinkedIn Financial Services Insights, Oct. 2024. [Online]. Available: https://www.linkedin.com/pulse/how-ai-driven-transformation-global-financial-services-brett-king-exs1c

Samira Abdu, "AI-enhanced healthcare management during natural disasters: conceptual insights," Engineering Science and Technology Journal, May 2024. Available: https://www.fepbl.com/index.php/estj/article/view/1155/1383

Trigyn Technologies, "Trigyn Insights: Building a Resilient Disaster Recovery Strategy: Best Practices for Business Continuity," Trigyn Insights. [Online]. Available: https://www.trigyn.com/insights/building-resilient-disaster-recovery-strategy-best-practices-business-continuity

Acacia Research Group, "Measuring Success: Key Metrics and KPIs for AI Initiatives," Choose Acacia Insights. [Online]. Available: https://chooseacacia.com/measuring-success-key-metrics-and-kpis-for-ai-initiatives/

Published

2024-12-19

How to Cite

Suhas Lakum. (2024). AI-ENHANCED DISASTER RECOVERY: A COLLABORATIVE APPROACH. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 7(2), 2419-2429. https://ijrcait.com/index.php/home/article/view/IJRCAIT_07_02_179