Book Image

AI Blueprints

By : Dr. Joshua Eckroth, Eric Schoen
Book Image

AI Blueprints

By: Dr. Joshua Eckroth, Eric Schoen

Overview of this book

AI Blueprints gives you a working framework and the techniques to build your own successful AI business applications. You’ll learn across six business scenarios how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow. Along the way you’ll discover the practical techniques to build AI business applications from first design to full coding and deployment. The AI blueprints in this book solve key business scenarios. The first blueprint uses AI to find solutions for building plans for cloud computing that are on-time and under budget. The second blueprint involves an AI system that continuously monitors social media to gauge public feeling about a topic of interest - such as self-driving cars. You’ll learn how to approach AI business problems and apply blueprints that can ensure success. The next AI scenario shows you how to approach the problem of creating a recommendation engine and monitoring how those recommendations perform. The fourth blueprint shows you how to use deep learning to find your business logo in social media photos and assess how people interact with your products. Learn the practical techniques involved and how to apply these blueprints intelligently. The fifth blueprint is about how to best design a ‘trending now’ section on your website, much like the one we know from Twitter. The sixth blueprint shows how to create helpful chatbots so that an AI system can understand customers’ questions and answer them with relevant responses. This book continuously demonstrates a working framework and strategy for building AI business applications. Along the way, you’ll also learn how to prepare for future advances in AI. You’ll gain a workflow and a toolbox of patterns and techniques so that you can create your own smart code.
Table of Contents (14 chapters)
AI Blueprints
Foreword
Contributors
Preface
Other Books You May Enjoy
Index

Always one step ahead


AI repeatedly suffers from the hype cycle: the rise of intense interest in using AI for as many applications as possible, followed by disillusionment and claims that AI could never do what was promised. Even worse, AI has been misunderstood so often that there's even a name for it, the "AI effect." As described by its originator, Larry Tesler, Intelligence is whatever machines haven't done yet (http://www.nomodes.com/Larry_Tesler_Consulting/Adages_and_Coinages.html). In other words, before the application is developed and deployed, it is called AI. Once it is generally available, the outcomes of this research and development are retroactively considered "just engineering" or "just software," and the allure of AI moves on to the next unrealized dream. For a classic example, A* search, used commonly in path-finding in games, was originally a novel AI technique in the 1960s. Now it's just a commonplace graph search algorithm.

In Pamela McCorduck's 1979 book, Machines Who...