Artificial Intelligence (AI) Books

This book is perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

By Len Tashman, Michael Gilliland, Udo Sglavo

This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services.

By Danda B. Rawat, Jitendra Kumar Samriya, Lalit K. Awasthi, Mohit Kumar, Valentina Emilia Balas

Learn how organizational data can be governed according to ethical principles with this practical guide.

By Daragh O Brien, Katherine O'Keefe

This book will probe into UX design's role in making technologies inclusive and enabling user collaboration with AI.

By Akshay Kore

If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in this practical book.

By Rashed Haq

This Book features seventeen original essays by prominent AI scientists and philosophers and represents the state-of-the-art thinking in this fast-growing field.

By S. Matthew Liao

Providing a future-forward look at A.I. including how it will look in the coming years and the countless business opportunities it will offer, the risks that come with it-this book delivers the knowledge you need to navigate it all in real and practical ways.

By Michael Ashley, Neil Sahota

People and Data is an innovative exploration of the relationship between non-data professionals and data in an organization's success, and why it is only when they work together that a business can unlock its full potential.

By Thomas C. Redman

This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies.

By Arjun Panesar

Predicting the Unknown provides the framework that will help you understand where AI is headed, and how to best prepare for the world that's coming in the next few years, both as a society and within a business.

By Stylianos Kampakis

Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments provides a comprehensive understanding of the business systems, platforms, procedures, and mechanisms that underpin different stakeholders' experiences with reality-enhancing technologies and their transformative application in management.

By Deergha Sharma, Himani Gupta, Manisha Gupta

Generative AI and ChatGPT have the potential to transform industries and society by improving efficiency, enhancing creativity, and enabling more personalized experiences. If you are someone who is looking to stay ahead of the curve in this rapidly evolving digital age and utilize its potential, this book is for you.

By Soumyadeep Roy, Sumit Kumar, Utpal Chakraborty

We are entering the next wave of digital transformation. Artificial intelligence has an ever-increasing significance in our daily lives, and there is no difference when it comes to our workplaces.

By Ronald Ashri

This book is your guide to this innovation, presenting the concepts in real world contexts by covering the art of the possible today and providing glimpses into the future of business.

By Sarah Burnett

This book offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.

By Aaron Roth, Michael Kearns

Written by academic scholars and industry professionals, this book discusses how innovative companies are leveraging Artificial Intelligence and intelligent tools to make the workforce more inclusive, and enhance and augment the human worker rather than replace it.

By Ammar Rayes, Haluk Demirkan, Heather Yurko, Nathan Tymann, Yassi Moghaddam

This book tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches.

By Frank Pasquale, Markus D. Dubber, Sunit Das

This book is designed to help decision makers such as policy makers, boards, C-suites, managers, and data scientists create AI systems that meet ethical principles.

By Ghislain Landry Tsafack Chetsa