𝔖 Scriptorium
✦   LIBER   ✦
πŸ“

Artificial Intelligence and Machine Learning for Business for Non-Engineers

✍ Scribed by Stephan S. Jones (Editor); Frank M. Groom (Editor)

Publisher
CRC Press
Year
2019
Leaves
165
Edition
1
Category
Library
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No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ 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

✦ Subjects

Computer Science;Artificial Intelligence;Computational Linguistic & Language Recognition;Machine Learning - Design;Neural Networks;Management of IT;Engineering & Technology;Electrical & Electronic Engineering;Electrical Engineering Communications;Intelligent Systems;Systems & Control Engineering;Machine Learning

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