<p><span>Artificial intelligence (AI), machine learning, and advanced electronic circuits involve learning from every data input and using those inputs to generate new rules for future business analytics. AI and machine learning are now giving us new opportunities to use big data that we already had
AI-Based Data Analytics: Applications for Business Management
β Scribed by Kiran Chaudhary, Mansaf Alam
- Publisher
- CRC Press
- Year
- 2023
- Tongue
- English
- Leaves
- 261
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include
The role of Explainable AI in improving customer experiences in e-commerce
Sentiment analysis of social media
Data analytics in business intelligence
Federated learning for business intelligence
AI-based planning of business management
An AI-based business model innovation in new technologies
An analysis of social media marketing and online impulse buying behaviour
AI-Based Data Analytics: Applications for Business Management has two primary focuses. The first is on analytics for decision-making and covers big data analytics for market intelligence, data analytics and consumer behavior, and the role of big data analytics in organizational decision-making. The bookβs second focus is on digital marketing and includes the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies.
β¦ Table of Contents
Cover
Half Title
Title Page
Copyright Page
Contents
Preface
Acknowledgements
List of Abbreviations
About the Editors
List of Contributors
Chapter 1: Use of AI in E-Commerce
Chapter 2: Sentiment Analysis of Social Media with AI
Chapter 3: Unlocking the Power of Explainable AI to Improve Customer Experiences in E-Commerce
Chapter 4: Business Intelligence
Chapter 5: Sentiment Analysis of Social Media: Bibliometric Analysis
Chapter 6: Exploring Hugging Face Transformer Library Impact on Sentiment Analysis: A Case Study
Chapter 7: Data Analytics in Business Intelligence
Chapter 8: Federated Learning for Business Intelligence: Predictive Maintenance in Industry 4.0
Chapter 9: Role of IoT in Smart Cities: Proliferation and Challenges
Chapter 10: AI-Based Planning of Business Management
Chapter 11: AI-Based Business Model Innovation in New Technologies
Chapter 12: Cloud Computing: Storage Management, Security, and Privacy
Chapter 13: Social Media Marketing and Online Impulse Buying Behaviour: An Analysis through Website Quality as Moderator
Chapter 14: Effect of Blockchain Technology on the Future of E-Commerce in India
Chapter 15: Assessing the Usage of Various Data Mining Techniques for Analysis of Online Social Networks
Index
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