Convergence Of Artificial Intelligence And Blockchain Technologies, The: Challenges And Opportunities

This book explores the intersection of Blockchain and Artificial Intelligence, Big Data, Multi-Agent systems, the Internet of Things, and 5G technologies, using real-life case studies and project outcomes to provide a state-of-the-art assessment of these trends.

Format: Hardback
Length: 464 pages
Publication date: 20 June 2022
Publisher: World Scientific Publishing Co Pte Ltd

This comprehensive book delves into the ever-increasing intersection of Blockchain and Artificial Intelligence, encompassing a wide range of applications such as Big Data, Multi-Agent systems, the Internet of Things, and 5G technologies. Through the use of real-life case studies and project outcomes, it intricately illustrates the nuances of Blockchain in these practical scenarios. The contributions in this volume offer a cutting-edge evaluation of these rapidly evolving trends, presenting them in a creative and valuable manner for scholars and practitioners alike involved in the study and application of AI and Blockchain.

Blockchain and Artificial Intelligence (AI) are two powerful technologies that are revolutionizing the way we handle data and processes. This book explores the growing convergence of these two technologies, focusing on their applications in Big Data, Multi-Agent systems, the Internet of Things (IoT), and 5G technologies.

Big Data is a term used to describe the vast amounts of data that are generated daily by individuals, organizations, and devices. Traditional data management systems are not able to handle this amount of data efficiently, which has led to the development of new technologies such as Blockchain and AI. Blockchain is a distributed ledger technology that allows for secure and transparent storage and transfer of data. It is particularly useful in the context of Big Data, as it can help to ensure the integrity and accuracy of the data.

AI, on the other hand, is a technology that is capable of analyzing and interpreting large amounts of data. It can be used to identify patterns, trends, and insights that would otherwise be difficult to detect. AI is particularly useful in the context of Big Data, as it can help to automate the processing and analysis of data, reducing the time and cost associated with data management.

The convergence of Blockchain and AI in Big Data is particularly interesting. Blockchain can be used to ensure the security and integrity of the data, while AI can be used to analyze and interpret the data. This combination can help to create new opportunities for businesses and organizations to gain insights from their data and make informed decisions.

One example of the convergence of Blockchain and AI in Big Data is the use of smart contracts. Smart contracts are self-executing contracts that are written on a blockchain. They can be used to automate the execution of agreements between two or more parties, without the need for a third party. This can help to reduce the cost and time associated with traditional contract negotiations and execution.

Another example of the convergence of Blockchain and AI in Big Data is the use of decentralized applications (DApps). DApps are applications that are run on a blockchain and are not controlled by a single entity. They can be used to create new types of marketplaces, financial services, and other services that are not controlled by traditional institutions.

The convergence of Blockchain and AI in Multi-Agent systems is also interesting. Multi-Agent systems are systems that are made up of multiple agents that are able to interact with each other to achieve a common goal. Blockchain can be used to ensure the security and integrity of the data that is exchanged between the agents, while AI can be used to analyze and interpret the data.

One example of the convergence of Blockchain and AI in Multi-Agent systems is the use of decentralized autonomous organizations (DAOs). DAOs are organizations that are run by a group of individuals who are not controlled by a single entity. They are able to use blockchain technology to create a secure and transparent system for voting and decision-making.

The convergence of Blockchain and AI in the Internet of Things (IoT) is also interesting. IoT is a network of devices that are connected to the internet and are able to communicate with each other. Blockchain can be used to ensure the security and integrity of the data that is exchanged between the devices, while AI can be used to analyze and interpret the data.

One example of the convergence of Blockchain and AI in the IoT is the use of smart contracts in smart homes. Smart homes are homes that are equipped with smart devices such as thermostats, security cameras, and lighting systems. Smart contracts can be used to automate the execution of agreements between the devices, without the need for a third party.

The convergence of Blockchain and AI in 5G technologies is also interesting. 5G is the next generation of wireless technology that is capable of delivering faster and more reliable connections than previous generations. Blockchain can be used to ensure the security and integrity of the data that is exchanged between the devices in a 5G network, while AI can be used to analyze and interpret the data.

One example of the convergence of Blockchain and AI in 5G technologies is the use of decentralized autonomous networks (DANs). DANs are networks that are run by a group of individuals who are not controlled by a single entity. They are able to use blockchain technology to create a secure and transparent system for communication and collaboration.

In conclusion, the convergence of Blockchain and AI is a powerful force that is transforming the way we handle data and processes. This book explores the growing intersection of these two technologies, focusing on their applications in Big Data, Multi-Agent systems, the Internet of Things, and 5G technologies. The contributions in this volume offer a state-of-the-art assessment of these rapidly evolving trends, presenting them in a creative and valuable manner for scholars and practitioners alike.

ISBN-13: 9789811225062