The Impact of Edge Computing on Real-Time Decision Making in Business Operations: Opportunities and Challenges
DOI:
https://doi.org/10.69968/ijisem.2026v5Si195-101Keywords:
Edge Computing, Real-Time Analytics, Business Operations, Artificial Intelligence, Decision Making, Digital TransformationAbstract
The rapid growth of data-driven technologies, the Internet of Things (IoT), and artificial intelligence has amplified the demand for real-time processing and decision making in business operations. Traditional cloud computing often faces limitations in latency, bandwidth, and security when handling time-sensitive data. Edge computing has emerged as a transformative paradigm that processes data closer to its source, thereby reducing response time and enabling instantaneous insights. Edge computing is enabling real-time decision making through localized data analytics. It processes information closer to its origin, and therefore achieving faster response times, and enhanced operational efficiency. industries such as manufacturing, healthcare, finance, and retail, can get the benefits of edge solutions in terms of predictive maintenance, personalized customer engagement, fraud detection, and efficient supply chain management. While the technology presents significant opportunities, it also introduces critical challenges regarding infrastructure setup, security vulnerabilities, and network reliability. This article explores the transformative impact of edge computing on real-time business decision making, highlighting both the opportunities and the hurdles organizations must overcome to maximize value. This study concludes that while edge computing offers unprecedented opportunities for enhancing real-time decision making in business operations, organizations must adopt a balanced approach that addresses the associated technical, financial, and security challenges
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