Artificial Intelligence and Machine Learning for Business for Non-Engineers

Author:   Stephan S. Jones (Ball State University, Muncie, IN, USA) ,  Frank M. Groom (Ball State University, Muncie, Indiana, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367365745


Pages:   148
Publication Date:   02 December 2019
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $120.00 Quantity:  
Add to Cart

Share |

Artificial Intelligence and Machine Learning for Business for Non-Engineers


Add your own review!

Overview

The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Amazon Lex), and creating infrastructure that has the ability to adapt in real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. Replete with case studies, this book provides a working knowledge of AI’s current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing, banking, finance and education. It is essential reading for anyone involved in industry.

Full Product Details

Author:   Stephan S. Jones (Ball State University, Muncie, IN, USA) ,  Frank M. Groom (Ball State University, Muncie, Indiana, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.300kg
ISBN:  

9780367365745


ISBN 10:   036736574
Pages:   148
Publication Date:   02 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface Acknowledgment Editors Contributors 1 Introduction to Artificial Intelligence and Machine Learning FRANK M. GROOM 2 The Basic Elements of Artificial Intelligence FRANK M. GROOM 3 Artificial Intelligence and the Cloud RYAN SUTER 4 Artificial Intelligence Security Threats RYAN SUTER 5 Artificial Intelligence and IT Management DAVE PICKENS 6 Artificial Intelligence in Marketing JOE CIUFFO 7 Artificial Intelligence in Cloud Marketing LAUREN DONAHUE AND FATEMEH HAJIZADEH 8 Artificial Intelligence in Healthcare RASHIDA PEETE, KASIA MAJOWSKI, LAURA LAUER, AND ANNIE JAY 9 Artificial Intelligence and Medical Devices DUSHYANTH MARATT 10 Artificial Intelligence and Public Policy SOPHIE GUETZKO 11 Artificial Intelligence in Education MATTHEW LIEVERTZ Index

Reviews

Author Information

Frank M. Groom, PhD, is a professor in the Graduate Center for Information and Communication Science at Ball State University. His research is concentrated in the areas of high-bandwidth networking, distributed systems, and the storage of multimedia objects. Stephan S. Jones, PhD, is the director of the Center for Information and Communication Sciences, where he is also a professor delivering core technology courses in the graduate-only program. His industry experience is as a field engineer and owner of a telecommunications company providing voice and data solutions for business/commercial systems in the Midwest.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

ls

Shopping Cart
Your cart is empty
Shopping cart
Mailing List