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The Future of Artificial Intelligence in Blockchain Applications

The Future of Artificial Intelligence in Blockchain Applications

Amit Kumar Tyagi, Shrikant Tiwari
Copyright: © 2024 |Pages: 28
ISBN13: 9781668485316|ISBN10: 1668485311|ISBN13 Softcover: 9781668485323|EISBN13: 9781668485330
DOI: 10.4018/978-1-6684-8531-6.ch018
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MLA

Tyagi, Amit Kumar, and Shrikant Tiwari. "The Future of Artificial Intelligence in Blockchain Applications." Machine Learning Algorithms Using Scikit and TensorFlow Environments, edited by Puvvadi Baby Maruthi, et al., IGI Global, 2024, pp. 346-373. https://doi.org/10.4018/978-1-6684-8531-6.ch018

APA

Tyagi, A. K. & Tiwari, S. (2024). The Future of Artificial Intelligence in Blockchain Applications. In P. Baby Maruthi, S. Prasad, & A. Tyagi (Eds.), Machine Learning Algorithms Using Scikit and TensorFlow Environments (pp. 346-373). IGI Global. https://doi.org/10.4018/978-1-6684-8531-6.ch018

Chicago

Tyagi, Amit Kumar, and Shrikant Tiwari. "The Future of Artificial Intelligence in Blockchain Applications." In Machine Learning Algorithms Using Scikit and TensorFlow Environments, edited by Puvvadi Baby Maruthi, Smrity Prasad, and Amit Kumar Tyagi, 346-373. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/978-1-6684-8531-6.ch018

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Abstract

The integration of artificial intelligence (AI) and blockchain technologies represents a powerful synergy with the potential to revolutionize various industries. This chapter explores the promising future of AI in blockchain applications, shedding light on the significant impacts, challenges, and opportunities it offers. AI's capabilities in data analysis, pattern recognition, and automation find natural alignment with blockchain's immutable, transparent, and decentralized ledger technology. The chapter examines several key use cases where AI and blockchain intersect, including supply chain management, healthcare, finance, and smart contracts. It also discusses the challenges of scalability, data privacy, and regulatory compliance, and how AI can address or mitigate these issues. Furthermore, the chapter highlights the opportunities for innovation and disruption in emerging AI-powered blockchain applications, such as self-executing smart contracts, fraud detection, and identity verification.

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