Applications of Artificial Intelligence in IT Disaster Recovery

Abstract

Artificial intelligence (AI) changed several industries and processes over the last decade. One such process is disaster recovery (DR) planning to ensure business continuity in an adverse event. Over the past decade, computing power has grown tremendously. At the same time, AI has also grown, making it possible to have complex real-time analytics, which was previously difficult, making time-sensitive applications such as DR management possible. AI can automate the disaster recovery processes and ensure a quick initiation of the disaster recovery plan in case of an adverse event by shifting the critical operations to a secondary site, issuing automatic alerts to the corresponding administrator, and providing insights to deal with the situation. Consequently, using AI to implement a DR plan can be a practical move. Utilizing AI instead of manual processes to initiate the DR plan ensures faster initiation, reliability, and availability. This paper discusses the possible use cases for utilizing AI in DR workflow to ensure business continuity. Moreover, possible use cases for three phases of disaster recovery workflow, pre-disaster, implementation, and the aftermath, will be discussed. Furthermore, potential benefits and challenges of utilizing AI in the disaster management workflow will be highlighted.