ADABM-2023: AI-Based Data Analytics: Applications for Business Management |
Submission link | https://easychair.org/conferences/?conf=adabm2023 |
Submission deadline | January 3, 2023 |
Call for Book Chapters
ADABM-2023: AI-Based Data Analytics: Applications for Business Management (CRC Press Taylor and Francis Group)
This book will offer worldwide visibility and promotion of their novel ideas and insights on different aspects of the theme. Data analytics, business, and marketing are interdisciplinary fields about processes and systems to extract knowledge or insights from data.
This book is focused on Business intelligence, marketing Intelligence, Business Technology, and Digitalization. This is an emerging field that can increase the performance management domain to improve understanding of business and Marketing dynamics that can lead to better strategic decision-making. In this book, we have also given a variety of marketing and business analytics strategies to solve market and organizational challenges. The use of artificial intelligence in business and marketing analytics can help to create value by proper allocation of all available resources. By using various techniques and tools of Big data Analytics, we can improve the performance of the business.
This book explores the concept and applications related to marketing and business. Besides this, it shall also provide future research directions in this domain. This book is meant for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, Computer Science, big data analytics, Data Analytics with Artificial Intelligence, and wide-ranging elucidation to organizational strategic decision-making. This book includes aspects of artificial intelligence-based marketing and business that are helpful for business management to prolong in the marketplace by creating value. Artificial Intelligence-based Business and marketing analytics are helpful to companies by fulfilling the consumer's needs by providing them with timely products and services. Big data analytics using artificial intelligence is also a significant source of information on how consumers use social media to interact with businesses. AI-based business analytics helps to develop statistics, and critical skills, track the behavior patterns of the customers and also predict the Business Analytics trends that have become inevitable in case marketing professionals want to remain a step ahead of their competitors.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
Manuscript Preparation:
Please prepare the manuscript according to the following guidelines:
Click here for detailed guideline
Submission of the chapter(s) via the following link
https://easychair.org/conferences/?conf=adabm2023
If you face a problem in uploading, please send it via the following e-mail:
Recommended Topics:
This book will accept contributions from various fields. The tentative table of contents is as follows –
Chapter 1: AI-Based Data Analytics for Business Management
Chapter 2: Model for Heterogeneous Data Source Integration
Chapter 3: Management Analytics Models
Chapter 4: Storage and Query Processing Management
Chapter 5: Evaluation and Data Optimization
Chapter 6: Simulation and Tools for Massive Data Systems,
Chapter 7: Pre-processing and Analysis for Quality Data
Chapter 8: Recent Data Analytics Trends
Chapter 9: Data Analytics in Business Intelligence
Chapter 10: Process of Big Data mining
Chapter 11: Algorithm and Data Analytics
Chapter 12: Value creation using Data Analytics
Chapter 13: Storage and query processing for data
Chapter 14: Security issues in Data Analytics and Cloud
Chapter 15: Business Intelligence
Chapter 16: Supply Chain Management with AI
Chapter 17: Data Performance Characterization
Chapter 18: Business Decision-Making using AI
Chapter 19: Performance Analysis Using AI
Chapter 20: AI-based Business Model Innovation in New Technologies
Chapter 21: AI-based Planning of Business Management
Chapter 22: Sentiment Analysis Techniques on Social Media with AI
Chapter 23: AI-based Community Information Systems
Chapter 24: Stock Market Prediction and Portfolio Management with AI
Chapter 25: Use of AI in E-commerce
Chapter 25: AI-based Personality Prediction System
Chapter 26: Artificial Intelligence in Project Management
Publication
ADABM-2023: Edited book entitled AI-Based Data Analytics: Applications for Business Management will be published by CRC Press Taylor and Francis Group)
Contact
Dr. Kiran Chaudhary
Assistant Professor, Department of Commerce, Shivaji College
University of Delhi, New Delhi, India
Dr. Mansaf Alam
Professor, Big Data, Cloud Computing, and IoT Laboratory
Department of Computer Science,
Jamia Millia Islamia, New Delhi, India
All questions about submissions should be emailed to kchaudhary1@gmail.com or malam2@jmi.ac.in