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

Title
Artificial Intelligence for Business : An Implementation Guide Containing Practical and Industry-Specific Case Studies.
ISBN
1000968863
100096888X
1003358411
9781000968866
9781000968880
9781003358411
Publication
Abingdon, Oxon ; New York, NY : Routledge, 2023.
Physical Description
1 online resource (373 p.)
Local Notes
Access is available to the Yale community.
Notes
4.2.6 The Influence of Social Media Marketing
Access and use
Access restricted by licensing agreement.
Biographical / Historical Note
Dr. Hemachandran K has been a passionate teacher with 14 years of teaching experience and having 5 years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & ML. After receiving a Ph.D. in the embedded system at Dr. MGR Educational & Research Institute, India. He started doing interdisciplinary research in AI. An open-ended positive person who has stupendous peer-reviewed publication records with more than 20 journals and international conference publications. He served as an effective resource person at various national and international scientific conferences. His editorial skills made him include as an editorial board member in numerous reputed SCOPUS / SCI journals. Dr. Raul Villamarin Rodriguez is the Pro-Vice-Chancellor, Woxsen University, and Dean of the School of Business at Woxsen University. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation applications in Human Resources. Fmr. Co-CEO at Irians Research Institute, a research institute specialized in the field of neuromarketing, AI, ML, market research, behavioral science, social research, and behavioral engineering. His areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence. He has the experience and feels comfortable using Prolog, Java, C++, Python, R/RStudio, Julia, Swift, Scala, MySQL, and Spark, among others. He is a registered expert in Artificial intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission, a nominee for the Forbes 30 Under 30 Europe 2020 list, and awardee in the Europe India 40 under 40 Leaders. Alongside this, he is a member of the GRLI Deans and Directors cohort. He has co-authored two reference books: "New Age Leadership: A Critical Insight" and "Retail Store" and has more than 70 publications to his credit. He is a weekly contributing writer to various magazines in the field of analytics and emerging technologies. Alongside this, he is a journal reviewer and associate editor in various publications such as IEEE.
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.
Variant and related titles
Taylor & Francis. EBA 2024-2025.
Other formats
Print version: K, Hemachandran Artificial Intelligence for Business Milton : Productivity Press,c2023
Format
Books / Online
Language
English
Added to Catalog
October 04, 2024
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
1.4.25 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
Genre/Form
Electronic books.
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