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Artificial Intelligence for Business : An Implementation Guide Containing Practical and Industry-Specific Case Studies.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Business--Data processing.
- Business.
- Business--Technological innovations.
- Physical Description:
- 1 online resource (373 p.)
- Place of Publication:
- Abingdon, Oxon ; New York, NY : Routledge, 2023.
- Summary:
- 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 range of ways in which AI is being used across different industries. The book begins with an overview of AI in business and its impact on the workforce. It then explores the role of AI in marketing, advertising, and tourism. The use of AI in personalized recommendations and chatbots is discussed in detail. The book then moves on to examine how AI is changing the retail industry, improving supply chain management, and enhancing the customer experience. The media and entertainment industry is also examined, with a focus on how AI is being used to personalize content and improve the user experience. The book also explores the use of AI in human resources, insurance, legal, and finance. The impact of AI on talent identification, recruitment, underwriting, document analysis, and financial forecasting is discussed in detail. In the healthcare and sports industries, AI is transforming the way we approach diagnosis, treatment, and training. The book examines how AI is being used to analyse medical images, develop personalized treatment plans, and improve patient outcomes. The use of AI in sports performance analysis is also discussed in detail. Finally, the book explores the use of AI in agriculture, energy, education, and the public sector. The potential of AI to optimize crop yields, reduce energy consumption, and improve the quality of education is discussed in detail. The book also examines how AI is being used to improve public services, such as transportation and emergency services. This book is a valuable resource for academics, researchers, professionals, and policymakers who are interested in understanding the potential of AI in the business world. The contributions from leading experts and researchers provide a comprehensive overview of AI in business applications, and how it is transforming different sectors. The book also examines the ethical dilemmas that arise from the use of AI in business, such as the impact on privacy and data security, and the potential for bias in AI algorithms. It provides valuable insights into how businesses can ensure that the use of AI is ethical and responsible. In conclusion, this book is a must-read for anyone interested in the potential of AI in the business world. It provides a comprehensive overview of AI in business applications and how it is transforming different sectors. The book examines the ethical dilemmas that arise from the use of AI in business, providing valuable insights into how businesses can ensure that the use of AI is ethical and responsible. We hope that readers will find this book informative and thought-provoking.
- Contents:
- 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
- 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
- Notes:
- OCLC-licensed vendor bibliographic record.
- 4.2.6 The Influence of Social Media Marketing
- ISBN:
- 9781000968880
- 100096888X
- 9781003358411
- 1003358411
- OCLC:
- 1402030426
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