Transforming management using artificial intelligence techniques / editors, Vikas Garg, Rashmi Agrawal.

Format:

Book

Contributor:

Garg, Vikas, editor.

Agrawal, Rashmi, 1978- editor.

Series:

Artificial Intelligence (AI): elementary to advances practices

Language:

English

Subjects (All):

Artificial intelligence.

Management--Technological innovations.

Management.

Organizational change.

Physical Description:

1 online resource (xiv, 200 pages) : color illustrations.

Edition:

First edition.

Place of Publication:

Boca Raton, FL : CRC Press, [2021]

Summary:

"This book provides a deeper understanding of the relevant aspects of Artificial Intelligence impacting each others efficacy for better output. It's a reliable and accessible one-stop resource that introduces AI, presents a full examination of applications, provides an understanding of the foundations, examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration and so much more, all within the realm of Artificial Intelligence"-- Provided by publisher

Contents:

Cover

Half Title

Series Page

Title Page

Copyright Page

Table of Contents

Preface

Editors

Contributors

Chapter 1 Big Data and Artificial Intelligence: Revolutionizing the Indian Retail Industry with Respect to Virtual Jewelry Stores

1.1 Introduction

1.2 Big Data and Artificial Intelligence

1.3 Benefits of Big Data and Artificial Intelligence

1.4 Changes Brought by Big Data and Artificial Intelligence

1.5 Problem Statement

1.6 Challenges to Big Data and Artificial Intelligence

1.7 Big Data and Artificial Management in Marketing

1.8 Big Data Use in Marketing

1.9 Indian Jewelry Sector

1.10 Future of Jewelry Sector in India

1.11 SWOT Analysis of a Virtual Store

1.12 Literature Review

1.13 Future Scope of Big Data and Artificial Intelligence

Bibliography

Chapter 2 Unleashing the Potential of Artificial Intelligence in the Education Sector for Institutional Efficiency

2.1 Introduction

2.2 Meaning of AI

2.3 AI and Education Sector

2.3.1 AI in the Indian Education Sector

2.4 Benefits of Using AI in Education Sector

2.5 Challenges with Indian Education Sector

2.6 Various AI Tools Used in the Education System

2.6.1 AI Tools for Students Affairs

2.6.2 AI Tools for Learning and Instructions

2.6.3 AI Tools for Administrative Efficiency

2.6.4 AI Tools for Students Acquisition

2.7 Limitation of AI

2.8 Conclusion

References

Web Links

Chapter 3 Reinventing HR in the Era of Artificial Intelligence

3.1 Introduction

3.2 What Is AI

3.3 Importance of AI in HR

3.3.1 Robotic Process Automation

3.3.2 AI and Recruitment

3.3.3 AI and Workforce Planning

3.3.4 AI and Brand Building

3.3.5 AI and Compensation Management

3.3.6 AI in Performance Management

3.3.7 AI and Learning and Development

3.3.8 AI and Employee Engagement.

3.3.9 AI and Employee Relationship Management

3.4 Conclusion

Chapter 4 HR Trends in the Era of Artificial Intelligence

4.1 Introduction

4.1.1 What Is Artificial Intelligence

4.2 Upcoming Technologies and HR

4.2.1 Rehumanizing and Rethinking HR with AI

4.2.2 Upskilling and Training

4.2.3 Artificial Intelligence for Right Employee Engagement

4.2.4 Employee Brand Sentiment

4.3 Need to Prepare HR Trends

4.3.1 AI Plus Human Intelligence Enhances the Candidate Experience

4.3.2 Artificial Intelligence to Be Developed for the Future Organization's Workforce

4.4 Preparing for the Future of Work: Call for Action

4.5 AI in Recruitment

4.5.1 AI and Employee Development

4.5.2 AI in Employee Attrition

4.5.3 AI and Engagement and Employee Self-Service

4.6 HR and Deep Learning

4.6.1 Amazon

4.6.2 Google

4.6.3 IBM

4.7 Remember the Human Touch

Chapter 5 The Rise of Automation and Robotics in Warehouse Management

5.1 Introduction

5.1.1 Why E-Commerce Businesses Adopt Automation Technologies?

5.1.2 The Technologies

5.2 Advanced Technologies

5.2.1 Automated Storage and Retrieval System (ASRS or AS/RS)

5.2.2 Goods-to-Person Technology (G2P)

5.2.3 Automated Guided Vehicles

5.2.4 Autonomous Mobile Robots

5.2.5 Articulated Robotic Arms

5.2.6 Automated Guided Carts

5.3 Conclusion

Chapter 6 Intelligent MIS for High-Quality Marketing Decisions

6.1 Introduction

6.2 Gaps of MDSS

6.3 The Significant Attributes of MDSS

6.4 The Differentiated Characteristics of MDSS

6.5 The Contextual MDSS Communications

6.6 Intelligent MKIS Structural Design

6.7 Input Section

6.8 Filter

6.9 Documentation

6.10 MKDSS

6.11 Productivity Method

6.12 Intellectual Structure

6.13 Information Support.

6.14 Inferences of Intellectual IMKIS

6.15 Conclusion

Chapter 7 Contemporary Trends in Education Transformation Using Artificial Intelligence

7.1 Introduction

7.2 Features of Artificial Intelligence

7.3 Growth Rate of AI in Education Industry

7.4 The Process of Learning and Teaching

7.5 Computer-Aided Instruction (CAI) vs Artificial Intelligence (AI)

7.6 Changes in the Education Industry by AI

7.6.1 Improving Administrative Task

7.6.2 Smart Content

7.6.3 Personalized Learning

7.6.4 Global Learning

7.6.5 New Efficiencies

7.7 Ways in which AI Is Used in the Education Sector

7.8 Advantages of AI in Education

7.9 Disadvantages of AI in Education

7.10 Impact of AI on Learning and Education

7.10.1 Current Developments in Special Needs Education

7.10.2 Impact on Cognitive Development

7.11 Future of AI in Education

7.12 Conclusion

Chapter 8 Artificial Intelligence and Personalized Banking

8.1 Introduction of Artificial Intelligence

8.1.1 At the Beginning of the Industrial Revolution

8.1.2 The Advent of AI Banking in India

8.2 Personalized Banking

8.2.1 Not Just Customer Support

8.2.2 Not without Challenges

8.3 Role of Artificial Intelligence in Banking

8.4 Improving the Customer Experience with AI

8.5 AI Today: Where It Works and What For

8.5.1 AI and Credit Decisions

8.5.2 AI and Risk Management

8.5.3 AI and Fraud Preventions

8.5.4 AI and Trading

8.5.5 AI and Personalized Banking

8.5.6 AI and Process Automation

8.6 How Artificial Intelligence Changes the Banking System

8.6.1 Artificial Intelligence - A Boon to the Banking Industry

8.6.2 Artificial Intelligence - All You Need to Know

8.7 The Role of Banking Industry

8.8 Artificial Intelligence in Banking Sector.

8.8.1 Benefits of Artificial Intelligence in Banking

8.9 The Future of Artificial Intelligence in Banking

8.10 Application of Artificial Intelligence in Banking

8.10.1 Personalized Financial Guidance

8.10.2 Digital Wallets

8.10.3 Interactive Voice Response System (IVRS)

8.11 How AI Enhance Customer Service

8.11.1 AI-Enhanced In-person Interaction

8.12 Benefits of AI for Banking Sector

8.13 The Rise of AI in Banking

8.14 Integration of AI in Mobile Apps for Banks

8.15 How AI Enhances Banking Services

8.16 Benefits of AI for Banking Sector

8.16.1 Reduce Workload

8.16.2 Accumulate and Analyze Useful Data

8.16.3 Drive Banking Business

8.16.4 Handle Risk Management

8.16.5 Prevent Frauds

8.16.6 Hedge Fund Management

8.16.7 Concluding Lines

8.17 What to Expect in the Future from AI in the Financial Industry

8.17.1 Conclusion

8.18 Hybrid Model of Banking

8.19 The Fallout

8.20 FMCG Model of Banking

8.21 Powering Business Growth

8.22 Improving Digital Experiences

Weblinks

Chapter 9 AI in Fashion: Present and Future Applications

9.1 Introduction

9.2 Benefits of AI in Fashion

9.3 Big Data and Fashion Quality Control

9.4 Major Fashion Retailers Using AI

9.4.1 Alibaba

9.4.2 Amazon

9.4.3 H&amp

M

9.4.4 Tommy Hilgfier

9.4.5 ASOS

9.4.6 Dior

9.4.7 Nike on Demand

9.4.8 Grabit Inc

9.4.9 VF Corporation

9.4.10 Macy's

9.4.11 Nordstrom

9.4.12 Final Thoughts

9.5 Demerits of Using AI in the Fashion Industry

Chapter 10 Digitalization, Innovation, and Artificial Intelligence: A Road Map to the Future of Industry 4.0

10.1 Introduction

10.1.1 The Journey toward Milestones of Industry 4.0

10.2 What Is Industry 4.0?

10.2.1 Need of Industry 4.0 (I-4.0)

10.2.2 Features of Industry 4.0.

10.2.2.1 Flexibility in the Production Process

10.2.2.2 Flexible Production Environments

10.2.2.3 Optimized Logistics Solutions

10.2.2.4 Saving of Resources

10.2.2.5 Clear Customer Orientation

10.2.2.6 Effective Use of All Data

10.3 Components of Digital Technologies in Industry 4.0

10.3.1 Benefits of Digitalization, Innovation, and Artificial Intelligence

10.3.2 Digitization, Innovation, and Artificial Intelligence: As the Basis for Success for Industry 4.0

10.3.3 Blueprint for Success of Industry 4.0

10.3.3.1 Map Out Your Industry 4.0 Strategy

10.3.3.2 Create Initial Pilot Projects

10.3.3.3 Define the Capabilities You Need

10.3.3.4 Become a Data Virtuoso

10.3.3.5 Transform into a Digital Enterprise

10.3.3.6 Actively Plan an Ecosystem Approach

10.4 Impact of Digitalization, Innovation, and Artificial Intelligence on Industry Growth

10.5 Issues and Challenges in Industry 4.0

10.6 Summary and Outlook

10.7 Conclusion

Chapter 11 A Review of Innovation Diffusion Modelling Literature

11.1 Introduction

11.2 Methodology

11.3 Literature Review

11.4 Achievements of the Existing Research

11.5 Research Gaps and Future Directions

Chapter 12 Artificial Intelligence (AI) in Classrooms: The Need of the Hour

12.1 Introduction

12.2 Definition of Artificial Intelligence

12.3 Characteristics of Artificial Intelligence

12.4 Components of Artificial Intelligence

12.5 Benefits of AI Utilization

12.6 Requirements of AI

12.7 Opportunities of AI in Education

12.8 Requirements of Shifts in Education

12.9 Restructuring Examination

12.10 Threats due to AI

12.11 Implications for Teaching &amp

Teachers

12.12 What Artificial Intelligence Is Planning to Do in the Field of Education?

References.

Chapter 13 The Role of Social Media in Marketing: A Case Study of World Vision Rwanda.

Notes:

Includes index.

Description based on: online resource; title from pdf title page (COMPUTERSCIENCEnetBase, viewed January 8, 2021)

ISBN:

9781003032410

1003032419

9781000209945

1000209946

OCLC:

1162185113