Intro
Half Title
Title Page
Copyright Page
Contents
Preface
Contributors
Chapter 1. Introduction to AI in Business Applications
1.1 Introduction
1.1.1 AI Learning Types
1.1.2 Machine Learning
1.1.3 Deep Learning
1.2 Ethical and Security Issues in AI
1.3 AI Applications in Business Operations
1.4 Examples of AI Applications in Business
1.4.1 Smart Assistants
1.4.2 Helpdesk Chatbots
1.4.3 Face Recognition Technology
1.4.4 Personalized Recommendations
1.4.5 Predictive Maintenance
1.4.6 AI for Targeted Marketing
1.4.25 Cybersecurity
1.5 Companies Using AI
1.6 Conclusion
References
Chapter 2. Digital Revolution and Sustainability without Well-Founded Mathematical Education?
2.1 Introduction
The Appearance of Mathematics in Corporate Management
2.2 Proposed Model
Decisions, Sustainability, and Mathematics
2.3 Methodology
Research Data Collection
2.4 Results of Analysis
Presentation of Results
2.5 Final Thoughts and Outlook
References
1.4.7 Smarter Supply Chains
1.4.8 Smarter Operations
1.4.9 AI-Enabled Quality Control and Quality Assurance
1.4.10 AI for Contextual Understanding
1.4.11 AI for Optimization
1.4.12 Sales and Business Forecasting
1.4.13 Security Surveillance
1.4.14 Spam Filters
1.4.15 Smart Email Categorization
1.4.16 Voice-to-Text Features
1.4.17 Process Automation
1.4.18 Social Media Insights
1.4.19 Vulnerability Exploit Prediction
1.4.20 Proposal Review
1.4.21 Billing and Invoicing
1.4.22 Customer Analysis
1.4.23 Market Prediction
1.4.24 Recruitment
Chapter 3. Human Apprehension and Artificial Intelligence: Dilemma of Artificial Intelligence Fostering Human-Like Cognizance, Ethics, and Cognitive Capabilities and the Current Infusion of Artificial Intelligence in Business
3.1 Introduction
3.2 Humans and AI: A Scamper of Evolution
3.3 Infusion of AI in Businesses
3.4 Hawkeye vs. Ultron: A Concoction of Fiction and Actuality!
3.5 Consciousness and AI: A Humanoid's Tale
3.6 Ethical Paradigm and the Paradox It Follows
3.7 Conclusion: Assured or Incalculable Aftermath
References
Chapter 4. Artificial Intelligence in Marketing Applications
4.1 Introduction About AI
4.1.1 Consumer Perception on AI
4.1.2 Defining AI
4.1.3 Artificial Intelligence
4.1.4 Artificial General Intelligence
4.1.5 Narrow AI
4.1.6 Machine Learning
4.1.7 Deep Learning
4.1.8 Natural Language Processing
4.1.9 Natural Language Understanding
4.1.10 Signal Processing
4.1.11 Computer Vision
4.2 AI in Marketing Today
4.2.1 Usage of AI in Marketing
4.2.2 Programmatic Advertising
4.2.3 Transparency, Distrust, and Fraud
4.2.4 Omni Channel
4.2.5 Retargeting