Artificial Intelligence for Business : An Implementation Guide Containing Practical and Industry-Specific Case Studies

Artificial Intelligence for Business An Implementation Guide Containing Practical and Industry-Specific Case Studies

Artificial intelligence (AI) is transforming the business world at an unprecedented pace. From automating mundane tasks to predicting consumer behaviour, AI is changing the way businesses operate across all sectors. This book is an exploration of AI in business applications, highlighting the diverse...

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Detalles Bibliográficos
Otros Autores: K., Hemachandran, editor (editor), Rodriguez, Raul Villamarin, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Abingdon, Oxon ; New York, NY : Routledge 2023.
Materias:
Artificial intelligence.
Business > Data processing.
Business > Technological innovations.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009809011406719
Tabla de Contenidos:
  • 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
  • 1.4.7 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
  • 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
  • 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

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