1st Edition

Artificial Intelligence and Machine Learning for Business for Non-Engineers

Edited By Stephan S. Jones, Frank M. Groom Copyright 2020
164 Pages
by CRC Press

164 Pages
by CRC Press

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... Read more

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

Biography

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.