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.Table of Contents
FOREWORD- PREFACE
- 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
- AND HOSPITALITY INDUSTRY IN EMERGING ECONOMIES
- INTRODUCTION
- 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
- CONCLUSION
- REFERENCES
- INTRODUCTION
- Literature
- Machine Learning
- Automated Machine Learning (AML)
- GT-UCB
- ML for Management
- Chatbots
- 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
- CONCLUSION
- REFERENCES
- ACCOUNTS
- INTRODUCTION
- LITERATURE
- AI
- 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


 
     
   
   
  