Artificial Intelligence in Business Management / Mohammed Majeed.

Format:

Book

Author/Creator:

Majeed, Mohammed, 1982- author.

Language:

English

Subjects (All):

Artificial intelligence.

Business--Data processing.

Business.

Physical Description:

1 online resource (151 pages)

Edition:

First edition.

Place of Publication:

Singapore : Bentham Science Publishers Ltd., 2024.

Summary:

Artificial Intelligence in Business Management is a review of artificial intelligence (AI) applications in businesses. This book adopts a cross-disciplinary strategy toward AI adoption. Book chapters explore many projects that go beyond simple data management and accessibility to showcase the growing role of artificial intelligence and machine learning in the enterprise data space. AI methods for tackling marketing and commercial strategies, as well as the use of AI and machine learning in tourism, insurance and healthcare systems, are discussed. A study on the significance of cultural assets in evaluating risks and protection is also presented. The content gives valuable insights on the application and implications of artificial intelligence and machine learning from this book to readers aiming for corporate roles, such as directors, executives, senior software developers, and digital transformation managers. The book is an essential resource for researchers and professionals in business, economics, and allied disciplines. Readership Researchers and professionals in business, economics and allied disciplines.

Contents:

Cover

Title

Copyright

End User License Agreement

Contents

Foreword

Preface

Artificial Intelligence and Aspects of Marketing

INTRODUCTION

Literature Review

AI and Marketing

Core Elements of AI Marketing

Big Data (BD)

Machine Learning

Powerful Solution

Challenges of AI Marketing

Managing Difficulties in Deployment

Obtaining Support within the Company

Problems of Ethics

Excessive Dependence on Electronics

Cost of Investment

Loss of Trust

Inadequate IT Systems/Infrastructure

Privacy of Data/Information

HR

Lack of or Insufficient Information

Marketing Areas AI Affect

Customer insights powered by AI

Ability to Predict

Product Packaging and Retail Sales

Consumer Behaviour Analysis

The Power of Digital Ads and Laser-Guided Promotion

Bringing Together Augmented and Virtual Reality

Optimization of Retailing

Pricing Dynamics

Ability to Search Visually

Individualized Reaction

Sales Process

Service to Customers Using Robots

Constructing the Layout of Websites

Revenue Projections

Promotional Videos

Optimization of the Campaign

Finding and Suggesting Related Products

Recognizing Little-Known Swayers

Make Sure your Info is Secure and Private

Collecting, Analyzing, and Summarizing Information

Advertising Houses for Sale

Effective Management of a Drop-Down Menu-Based Catalogue

Anti-Fraud Measures

Cyberspace-based Media Systems

AI-enhanced Client Comprehension

Electronic Mail Content Curation Robots

Information Management and Data-Informed Policy Making

Dedicated Channel Ads

Studies in Marketing

The Customized Distribution of Media

Chatbot

Systematize Mundane Activities

Summary of Ai in Marketing

Benefits of AI Marketing

Customer Information Transfer

Helps with Targeted Advertising.

Excellent Service to the Customer

Save Money

Improved Outcomes from the Marketing Group

Smarten up Marketing

Maximize the Benefits of your Advertising Efforts

Optimize Search Results

Campaign Improvement

Customize the Experience

Helps Customers out More

The Future of AI in Marketing

Implications

CONCLUSION

REFERENCES

The Impact of AI on Customer Experiences in the Tourism and Hospitality Industry in Emerging Economies

LITERATURE REVIEW

AI

How AI is Used in the Hospitality

Chatbots

Data Analysis

Wide Range of Languages

Effectiveness and Automation

Voice-activated Functions

Easy Reservations

Hyper-dynamic Pricing

AI on Customer Experiences in the Tourism and Hospitality Industry

Applying Intelligence to Improve Business Procedures

Contacting and Talking to Clients

Responding to Comments from our Clients

Understands Customers Language

Customers Self-service

Information

Reservation, and Checking Out

Fuels the Visitor's Journey/Experience

Provide Better Service

Enhance the Reservation Process

Make Predictions

Teamwork

Consistently Provide for the Needs of Guest/Customers

Customer Loyalty

Customer Issues Resolution

Analyzing the Competition

Predictive Segmentation

Projecting Occupancy

Improved Productivity and Effectiveness

Visitor/Guest Satisfaction

Easy and Efficient Reservations

Pro-active Servicing

Personalization of Customer Service

AI helps the Promotion/marketing of Hospitality Sector

Monitoring of brand or Company

Paperless or Electronic Registration

Safety Enhancements

Better Customer Interactions

Accurate Forecasts

IMPLICATIONS

AI AND FUTURE OF HOSPITALITY

Assimilation into the Internet of Things

Greater Participation

Increased Scope for Customization.

Best Experiences

VR and AR

Machine Learning for Marketing Practitioners

Literature

Automated Machine Learning (AML)

GT-UCB

ML for Management

Aspects of ML on Business

Consumer Behaviour

The Use of ML in Online Marketing

Enhance Customer Experience

Estimation of Future Consumer Demands

ML and Consumer's Moral Principles

Customer Response

Solving Market Problem

Marketing on Social Networks

Consumer Preference

Decisions in Marketing

Customer relationship management

ML and Sales

Personalization

Consumer Journey

Customer Engagement

Artificial Intelligence (AI) on Management of Finance and Accounts

Chapter Contributions

LITERATURE

AI in Finance and Accounting

Incorporating AI Into Corporate Policy Enforcement

Robotic Intelligence Can make Entering and Analyzing Information much more Efficient

Enhanced Bookkeeping

Enhanced Monitoring and Command

Better Accounting Information Allows for more Educated Business Choices

Business Integration

Role of AI in Accounting and Finance

Invisible Bookkeeping

AI Automation

Getting Useful Information

AI Expands Accounting Sub-disciplines

The Use of AI and Robotics in Accounting can Lead to Useful New Discoveries

Accounting Jobs may Evolve as a Result of AI and Automation

Automation of Tasks by Robots

The use of AI can Mitigate Fraud Risk

AI Makes Financial Projections

Using AI to Complete Taxes

AI and Automation Make Accountants More Proactive

Robots are Starting to Act Like Humans

The Mechanization of Routine Tasks

Using AI, Bookkeeping Processes Can be Automated

Faster Results

Reducing Red Tape During the Closing Process.

AI Helps in Billing and Invoicing

Auditing, Anti-fraud Protection

Robotic Artificial Intelligence Aids in Vendor Screening

Strengthened Protection and Accuracy of Audits

Machine Learning Chatbots

AI is Able to Process Unstructured Data

AI Efficiently Enters and Analyzes Data

Analytics and Data Processing

Audit

Procurement

Process Finance

Accurate Decisions

Automated Trading Systems

Boost Compliance

Internal Auditing is Made Better by AI

AI Makes Financial Procedures Better

AI is Starting to Emulate Human Work Processes

Accountancy Fraud

Automation of Accounting Processes via AI Tools

AI Oversees the Budgeting Process

Secrets Revealed

Financial and Accounting Procedures are Aided by AI Virtual Assistants

Improved Forecast

AI Technologies for Finance and Accounting

The Use of Cloud Computing

ML

Automation

Blockchain

Challenges of AI in Accounting and Finance

Quality of Data

Inadequate Qualified Accountancy Experts

Intolerant of Change

Expenses

Questions of Interpretation

Transparency

Dangers to Security

Responsibility

Data Combination

Internal Audits are Made Better Using AI

Keeping Information Safe

The Future of Accountants

Numerous Subfields Exist within the Accounting Profession

A CPA can be Trained to Utilize any type of Accounting Software

Professional Accountants add a Personal Touch

Will Accountants be Replaced by AI?

AI and the Future of Accounting and Finance

The Role of Artificial Intelligence on Firm's Human Resources Management

AI and HRM

Techniques of AI in HR

Mining Data

Generic Algorithm

Intelligent Machines

Expert System

Fuzzy Logic

Artificial Neural Networks

Effect of AI on HRM.

Hiring and Recruiting

Referrals from Employees

Streamlining Administrative Duties that Take Up Too Much Time

Recruitment Using AI

Managing Talent

Essential Abilities for Workers

Worker's Market

Acquiring and Recruiting Top Performers

Improvements in Working Conditions

Leadership

Training Workers

The Computerization of Routine office Work

Benefits of AI on HRM

Saved Money

Objective Judgments

Do Tasks Over and Over

Better Ability to Make Choices

Utilizations Every Day

AI in Dangerous Circumstances

Worker Transfer within an Organization and Retention

Decisions Made More Quickly

Recognizing Patterns

Uses in Medicine

Modernized Workflow

Raise Employee Involvement to New Heights

The Absence of Bias

Boosting Efficiency while Reducing Tension

Matching Job Seekers with Employers

Minimization of Human Error

Enhanced Productivity

Less Risk

Constant Access: 24 Hours a Day, 7 Days a Week

Orientation

Routine Tasks Being Automated

To Recruit and Educate

Analytical Prediction

Increased Employee Participation

Facilitated Use

Create a Motivating Environment at your Company

Enhance your Decision-Making Skills

Good name in the Community

A Human Resources Department that Operates at a Higher Efficiency

Good News for HR Departments

There are a Plethora of Uses for HR Bots

To Acquire Talent

Prejudice-Free Hiring Through Data Analysis

When Hiring, Make Use of Tests Backed by Data

Quicker Speeds for Common Actions

Fewer Biases in Recruitment

Drawbacks of AI

Large Expenditures

Zero Originality

Unemployment

Make People Lazy

The Absence of Morality

Emotionless

Nothing Has Changed

The Future of AI in HRM

HR Chatbot for the Ultimate Employee Experience

Takes Employee Engagement to a New High.

Recruitment Process Becomes More Human.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9789815238211

9815238213

OCLC:

1453196468