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Artificial Intelligence for Business : An Implementation Guide Containing Practical and Industry-Specific Case Studies

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Title: Artificial Intelligence for Business : An Implementation Guide Containing Practical and Industry-Specific Case Studies
Author: ,
ISBN: 103241507X / 9781032415079
Format: Soft Cover
Pages: 372
Publisher: Productivity Press
Year: 2024
Availability: 15-30 days
     
 
  • Description
  • Contents

Artificial intelligence (AI) is transforming the business world at an unprecedented pace. From automating mundane tasks to predicting consumer behaviour, AI is changing the way businesses operate across all sectors. This book is an exploration of AI in business applications, highlighting the diverse range of ways in which AI is being used across different industries.

The book begins with an overview of AI in business and its impact on the workforce. It then explores the role of AI in marketing, advertising, and tourism. The use of AI in personalized recommendations and chatbots is discussed in detail. The book then moves on to examine how AI is changing the retail industry, improving supply chain management, and enhancing the customer experience.

The media and entertainment industry is also examined, with a focus on how AI is being used to personalize content and improve the user experience. The book also explores the use of AI in human resources, insurance, legal, and finance. The impact of AI on talent identification, recruitment, underwriting, document analysis, and financial forecasting is discussed in detail.

In the healthcare and sports industries, AI is transforming the way we approach diagnosis, treatment, and training. The book examines how AI is being used to analyse medical images, develop personalized treatment plans, and improve patient outcomes. The use of AI in sports performance analysis is also discussed in detail.

Finally, the book explores the use of AI in agriculture, energy, education, and the public sector. The potential of AI to optimize crop yields, reduce energy consumption, and improve the quality of education is discussed in detail. The book also examines how AI is being used to improve public services, such as transportation and emergency services.

This book is a valuable resource for academics, researchers, professionals, and policymakers who are interested in understanding the potential of AI in the business world. The contributions from leading experts and researchers provide a comprehensive overview of AI in business applications, and how it is transforming different sectors.

The book also examines the ethical dilemmas that arise from the use of AI in business, such as the impact on privacy and data security, and the potential for bias in AI algorithms. It provides valuable insights into how businesses can ensure that the use of AI is ethical and responsible.

In conclusion, this book is a must-read for anyone interested in the potential of AI in the business world. It provides a comprehensive overview of AI in business applications and how it is transforming different sectors. The book examines the ethical dilemmas that arise from the use of AI in business, providing valuable insights into how businesses can ensure that the use of AI is ethical and responsible. We hope that readers will find this book informative and thought-provoking.

Preface

Chapter 1 : Introduction to AI in Business Applications
Chapter 2 : Digital Revolution and Sustainability Without Well-Founded Mathematical Education?
Chapter 3 : Human Apprehension and Artificial Intelligence : Dilemma of Artificial Intelligence Fostering Human-Like Cognizance, Ethics and Cognitive Capabilities and the Current Infusion of AI in Business.
Chapter 4 : Artificial Intelligence in Marketing Applications
Chapter 5 : Artificial Intelligence in Tourism and Advertising
Chapter 6 : Artificial Intelligence in Retail Marketing
Chapter 7 : Innovative Recruitment Strategies Using Knowledge Management Systems for Business Sustainability
Chapter 8 : Human Resources
Chapter 9 : Evolution of Chatbot in Human Resource Management
Chapter 10 : AI in Insurance
Chapter 11 : Finance
Chapter 12 : Legal
Chapter 13 : AI in Supply Chain, Logistics and Manufacturing
Chapter 14 : Chapter Bayesian Machine Learning Approach for Evaluating the Effectiveness of An Order Fulfilment Reengineering Project in the Downstream Oil and Gas Supply Chain
Chapter 15 : Artificial Intelligence in Sports Industry
Chapter 16 : Artificial Intelligence Reshaping the Indian Dairy Sector : Better Days Ahead
Chapter 17 : Artificial Intelligence in Education
Chapter 18 : AI in Energy Sector
Chapter 19 : Managing Organizational Change Management With Ai
Chapter 20 : Adoption of Artificial Intelligence (AI) in Small and Medium Sized Enterprises (SMES) : A Systematic Literature Review (SLR) and Bibliometric Analysis of Global Research Trends
Chapter 21 : AI in Public Sector

Index

 
 
 
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