Crisis Management and AIoT-Based Solutions in the Business Environment
Description
In an era of unprecedented business volatility, crisis management has emerged as a strategic priority across industries. This research investigates the integration of Artificial Intelligence of Things (AIoT) — the fusion of Artificial Intelligence (AI) with the Internet of Things (IoT) — as a transformative approach to enhancing crisis preparedness, detection, and response. The study presents a comprehensive analysis of how AIoT empowers organizations to monitor operations in real time, predict emerging threats, and automate response mechanisms. A synthetic dataset of 500 records simulating multi-sensor industrial environments was created to demonstrate how AIoT systems analyze data streams from temperature, gas, vibration, and network sensors.
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Crisis management is a critical function in modern businesses, aiming to reduce risks and ensure operational continuity during unforeseen events. The advent of Artificial Intelligence of Things (AIoT) — the convergence of Artificial Intelligence (AI) with the Internet of Things (IoT) — presents transformative opportunities for enhancing crisis management strategies. This article explores the role of AIoT in proactive crisis detection, response, and recovery within business environments. It discusses AIoT-enabled real-time monitoring, predictive analytics, automated mitigation, and decision support systems. Challenges such as data security, integration complexity, and reliability are addressed. Through practical use cases and analysis, the study demonstrates that AIoT solutions significantly improve organizational resilience and crisis preparedness. Recommendations for successful implementation and future research directions are proposed.