Book Image

Blockchain for Business 2019

By : Peter Lipovyanov
Book Image

Blockchain for Business 2019

By: Peter Lipovyanov

Overview of this book

Blockchain for Business 2019 is a comprehensive guide that enables you to bring in various blockchain functionalities to extend your existing business models and make correct fully-informed decisions. You will learn how decentralized applications are transforming numerous business sectors that are expected to play a huge role in the future. You will see how large corporations are already implementing blockchain technology now. You will then learn about the various blockchain services, such as Bitcoin, Ethereum, Hyperledger, and others to understand their use cases in a variety of business domains. You will develop a solid fundamental understanding of blockchain architecture. Moving ahead, you will get to grips with the inner workings of blockchain, with detailed explanations of mining, decentralized consensus, cryptography, smart contracts, and many other important concepts. You will delve into a realistic view of the current state of blockchain technology, along with its issues, limitations, and potential solutions that can take it to the next level. By the end of this book, you will all be well versed in the latest innovations and developments in the emerging blockchain space.
Table of Contents (17 chapters)

A brief history of AI

AI, although a very common buzz word currently, is not a brand new concept. Research in the field started in the 1950s with computers learning simple games such as checkers. In the beginning, expectations were that within 20 years, machines will be capable of doing any work a human can do. Subsequently, progress in AI had its ups and downs, due to limitations in computing power and commercial viability, which impacted the available funding and public focus on the field. This should hardly be a surprise as it's a commonly repeating pattern in technological progress. A parallel can be drawn to space exploration with all the moon missions in the 1960s and 1970s, which have subsequently been discontinued or substantially slowed down. The public spotlight and funding budgets are a key driver behind continued innovation.

Coming back to AI, it was boosted further...