LEVERAGING AI IN DISASTER RECOVERY: THE FUTURE OF BUSINESS CONTINUITY

The revolutionary significance of artificial intelligence in contemporary business continuity and catastrophe recovery planning is examined in this thorough article. As organizations face increasingly complex digital infrastructures and evolving cyber threats, AI technologies are revolutionizing how businesses approach disaster prevention, recovery orchestration, and data protection. The article examines how AI-driven solutions improve data backup plans, automate recovery procedures, improve predictive analytics for early threat identification, and guarantee regulatory compliance. Real-world case studies from the financial and healthcare sectors demonstrate how AI integration significantly improves recovery times, reduces operational costs, and strengthens overall organizational resilience. The article also addresses implementation best practices, common pitfalls, and emerging trends in AI-powered disaster recovery, providing insights into the future of business continuity management.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-29
DOI
https://doi.org/10.5281/zenodo.14244192
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

LEVERAGING AI IN DISASTER RECOVERY: THE FUTURE OF BUSINESS CONTINUITY

Zenodo (CERN European Organization for Nuclear Research)
Supply Chain Resilience and Risk Management
article

LEVERAGING AI IN DISASTER RECOVERY: THE FUTURE OF BUSINESS CONTINUITY

article en

Abstract

The revolutionary significance of artificial intelligence in contemporary business continuity and catastrophe recovery planning is examined in this thorough article. As organizations face increasingly complex digital infrastructures and evolving cyber threats, AI technologies are revolutionizing how businesses approach disaster prevention, recovery orchestration, and data protection. The article examines how AI-driven solutions improve data backup plans, automate recovery procedures, improve predictive analytics for early threat identification, and guarantee regulatory compliance. Real-world case studies from the financial and healthcare sectors demonstrate how AI integration significantly improves recovery times, reduces operational costs, and strengthens overall organizational resilience. The article also addresses implementation best practices, common pitfalls, and emerging trends in AI-powered disaster recovery, providing insights into the future of business continuity management.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 43%
Supply Chain Resilience and Risk Management
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