Bigdata Ai Blockchains Artificialintelligence Smartdata Fintech Background: the convergence of edge computing, artificial intelligence (ai), and blockchain has the potential to revolutionize industries by addressing challenges in data processing, security, and scalability. In this study, we cover the fundamentals of blockchain and machine learning and then discuss their integrated use in finance, medicine, supply chain, and security, including a literature review and their contribution to the field such as increased security, privacy, and decentralization.
Ai Dataanalytics Bigdata Machinelearning Datadriven This paper provides a comprehensive review of the synergy between machine learning and blockchain, with a particular focus on smart contract (sc) and machine learning opportunities and challenges. we analyzed 70 peer reviewed studies published between 2020 and 2025. To address the existing gaps, the work presents a novel blockchain integrated deep learning framework for secure iot edge computing, introducing a hybrid architecture where the transparency. Objective: the objective of this paper is to provide a comprehensive review of the state of the art on machine learning applied to blockchain data. this work aims to systematically identify, analyze, and classify the literature on ml applied to blockchain data. This multifaceted, but succinct analysis is instrumental in delineating the timeline of ai and blockchain convergence and pinpointing the unique characteristics inherent in their integration.
Ai Artificialintelligence Bigdata Machinelearning Edgecomputing Objective: the objective of this paper is to provide a comprehensive review of the state of the art on machine learning applied to blockchain data. this work aims to systematically identify, analyze, and classify the literature on ml applied to blockchain data. This multifaceted, but succinct analysis is instrumental in delineating the timeline of ai and blockchain convergence and pinpointing the unique characteristics inherent in their integration. In recent years, the integration of internet of things (iot) and artificial intelligence (ai) technologies has become a key factor in the development of modern. The merging of big data, artificial intelligence (ai), and the internet of things (iot) has emerged as a crucial factor, boosting operational effectiveness and competitive edge. Present book covers new paradigms in blockchain, big data and machine learning concepts including applications and case studies. it explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. On the one hand, we examine the state of the art solutions, applications, and future directions associated with leveraging machine learning for blockchain data analysis critical for improving blockchain technology, such as e crime detection and trends prediction.
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