Analysis of Issues Affecting IoT, AI, and Blockchain Convergence

The Convergence of Artificial Intelligence and Blockchain: The State of Play and the Road Ahead

“…However, at that juncture, the integration of blockchain and AI was germinal and unclear, as evidenced by the solitary work found from that time [92]. Also with reference to Table 1, a more thorough and concerted exploration into the amalgamation of these technologies emerged in subsequent years (2018-2023), as indicated by a series of publications [7,[17][18][19]47,58,[74][75][76][79][80][81][82][83][84][85][86][87][88][89][90][91]93,94].…”

“…Recent advancements in Internet of Things (IoT) and blockchain predictions have led to the incorporation of numerous classification schemes to formulate a hybrid model. Although challenges in placing blockchain, AI, and the IoT under the same umbrella, possibly forming a cohesive system, include issues related to security, scalability, accountability, and the trustworthiness of communications, few, however, will argue that a successful and effective integration of these domains will propel the development of new business models, as well as the digital transformation of market corporations [88]. By examining real-world instances of deployment and success stories, it becomes evident that adoption in this context implies active utilization and integration into operational frameworks.…”

“…This approach is particularly beneficial for doctors dealing with rare diseases, as it facilitates the search for similar cases worldwide. (b) Data privacy: Blockchain systems, which house extensive personal information, necessitate stringent privacy measures [80,88]. In a blockchain environment, privacy becomes a crucial concern, as each participant has access to an identical copy of the entire shared database [79,81].…”