Research Challenges and Opportunities in Blockchain Technology

Abstract

Artificial Intelligence (AI) in Blockchain technology is one of the most high-lighted advancements in recent days, and it encourages AI toward intelligence as more enhancement to improve the flexibility and reliability of the distributed ledger. It is a rapidly gaining stream that works under versatile technology and is widely used in various fields with intelligent decision-making capability for a machine. The data from multiple repository platforms has been collected, stored, and transmitted in a secure and trust-level manner. In contrast, it provides a distributed decentralized storage by distributing the records, data updates, and storage that might be performed without a single centralized point. It can 38 automate the healthcare industry, such as electronic health records, pharmaceutical industry, cyber security, tracing, and tracking platforms for Supply chains for smart contracts and ledger data. These data are interrelated with sensors and other network devices facilitating development and productivity. Further, Blockchain-based AI algorithms rely on data to learn, infer, and make efficient decisions for future advancements in the research area. These algorithm implementations improved efficiency for various applications, and it is insufficient to enhance the development of QoS such as Scalability, persistence, anonymity, and privacy. To overcome these limitations, this chapter gives a detailed summary of open research challenges for different applications. It ensures the possibilities of security enhancement with outstanding learning performance and confidential information. The insightful explanation emphasizes blockchain-based frameworks in recent research and challenges, and it will highlight the pros and cons of different concepts. Furthermore, this chapter deals with open research challenges under various AI applications and Blockchain technology.