Abstract
The convergence of Internet of Things (IoT), Blockchain, and Artificial Intelligence (AI) is revolutionizing the landscape of business intelligence, offering innovative pathways for data-driven decision-making and operational efficiency. This paper explores the synergistic integration of these transformative technologies, highlighting their combined potential to enhance business insights, security, and scalability. IoT enables real-time data collection from diverse sources, creating vast datasets that fuel AI-driven analytics for predictive and prescriptive decision-making. Blockchain ensures the integrity, transparency, and security of data transactions, addressing critical challenges in data governance and trust. By combining these technologies, organizations can achieve unprecedented levels of accuracy and reliability in business intelligence, driving smarter insights and fostering competitive advantages. Applications span various sectors, including supply chain management, financial services, healthcare, and retail, where IoT sensors, blockchain protocols, and AI algorithms collaboratively optimize processes and mitigate risks. Case studies demonstrate the effectiveness of this triad in enhancing operational efficiency, reducing fraud, and improving customer experiences. The study also discusses challenges such as interoperability, data privacy, and the need for scalable architectures to manage the complexity of integrating these technologies. It concludes by proposing strategies for successful implementation, emphasizing the role of innovation, collaboration, and robust infrastructure in unlocking the full potential of IoT, Blockchain, and AI in business intelligence.
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