AI-Based Data Analytics

ISBN-13: 9781032411767 / Twarda / 2023 / 256 str.

Opis

This book explores the concept and applications of AI-based analytics related to marketing and business. It also discusses future research directions in this domain. It covers both aspects of artificial intelligence-based marketing and business that are helpful for business management to succeed in the marketplace by creating value.

Spis treści

1 Use of AI in E-Commerce 2 Sentiment Analysis of Social-Media with AI 3 Unlocking the Power of Explainable AI to Improve Customer Experiences in E-Commerce 4 Business Intelligence 5 Sentiment Analysis of Social Media -Bibliometric Analysis 6 Exploring Hugging Face Transformer Library Impact on Sentimental Analysis: A Case Study 7 Data Analytics in Business Intelligence 8 Federated Learning for Business Intelligence: Predictive Maintenance in Industry 4.0 9 Role of IoT in Smart Cities: Proliferation and Challenges 10 AI-based Planning of Business Management 11 AI-based Business Model Innovation in New Technologies 12 Cloud Computing: Storage Management, Security, and Privacy 13 Social Media Marketing and Online Impulse Buying Behaviour: An Analysis through Website Quality as Moderator

O autorze

Dr. Kiran Chaudhary is an Assistant Professor in the Department of Commerce, Shivaji College, University of Delhi and has 12 years of teaching and research experience. She earned a Ph.D. in Marketing from Kurukshetra University, India. Her areas of research include marketing, human resource management, organizational behavior, and business and corporate law. A distinguished student winning various awards of recognition, she is a book author as well as conference and journal paper author.

Dr. Mansaf Alam is an Associate Professor in the Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia University, New Delhi, India. He has also been Young Faculty Research Fellow for the Ministry of Electronics and Information Technology in India and the Editor-in-Chief for Journal of Applied Information Science. A journal and conference paper author, he conducts research in such area as big data analytics, machine learning & deep learning, cloud computing, cloud database management systems, object- oriented database systems, information retrieval, and data mining. His other academic activities include journal reviewer, member of conference program committees, journal editorial board member, and book author.