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Optimizing Performance Metrics in Blockchain-Enabled AI/ML Data Analytics: Assessing Cognitive IoT
Abstract
The convergence of blockchain technology with artificial intelligence (AI) and machine learning (ML) has significantly transformed data analytics within Cognitive Internet of Things (CIoT) systems. This chapter investigates the critical performance metrics and evaluation methods necessary to assess the impact and effectiveness of AI/ML-enhanced blockchain analytics. It examines how blockchain contributes to data integrity, transparency, and security, while AI/ML algorithms enhance data processing and decision-making capabilities. The chapter outlines essential performance indicators, analytical approaches, and evaluation techniques for measuring the success of these integrated systems. By presenting case studies and practical examples, it addresses the challenges and benefits associated with deploying these technologies, offering guidance for optimizing performance and achieving reliable results. This analysis is aimed at professionals and researchers who seek to leverage blockchain and AI/ML technologies for advancing CIoT systems.
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