Artificial Intelligence in Business Management

Table of Contents

• 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