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Current Trends in Engineering Science
[ ISSN : 2833-356X ]


The Synergy of Business Resilience Systems and Artificial Intelligence Entanglement

Mini Review
Volume 3 - Issue 4 | Article DOI : 10.54026/CTES/1039


Bahman Zohuri*

Golden Gate University, Ageno School of Business, San Francisco, California, USA

Corresponding Authors

Bahman Zohuri, Golden Gate University, Ageno School of Business, San Francisco, California, USA

Keywords

Business Resilience Systems (BRS); Artificial Intelligence (AI); Entanglement; Disruptions; Dynamic business landscape; Risk management; Agility; Innovation; Predictive insights; Real-time monitoring; Data-driven decision-making; Cybersecurity; Continuous learning; Rapid response; Automating tasks; Data privacy; Bias; Ethical considerations; Human-machine collaboration; Sustainable success

Received : July 27, 2023
Published : August 14, 2023

Abstract

This article delves into the transformative partnership between Business Resilience Systems (BRS) and Artificial Intelligence (AI), as well as the consequent entanglement, which enables enterprises to navigate uncertainties and capitalize on opportunities in today’s changing business world. Traditional continuity plans have given way to comprehensive, adaptive frameworks that include risk management, agility, and innovation. AI, on the other hand, is a powerful instrument that can analyze massive volumes of data, foresee disturbances, and enable real-time monitoring. The combination of BRS with AI creates a symbiotic connection that promotes continuous learning, rapid response, and task automation, resulting in a more resilient and agile system. However, issues such as data privacy, bias, and human-machine collaboration necessitate careful attention. Businesses may harness the potential of AI within BRS through appropriate integration to develop a culture of resilience and adaptation, assuring long-term success in the face of rapid change.