Data analytics and generative AI (GenAI) are transformative technologies that play a critical role in modern decision-making and innovation. Data analytics enables organizations to extract actionable insights from vast amounts of structured and unstructured data, driving efficiency, improving customer experiences, and identifying trends. Generative AI, on the other hand, enhances creativity and problem-solving by producing new content, such as text, images, and designs, based on learned patterns. Together, they empower people and organizations to make data-driven decisions, automate complex processes, and unlock new opportunities for growth and innovation.
Generative AI 2.0 and Data Analytics explores the intersection between GenAI and data analytics and addresses its profound effects on industries and organizations across the globe. Highlights of the book include:
- Deep learning architectures for generative models in business data management
- Optimizing human-AI collaboration for strategic decision-making in business practises
- Benchmarking practices and evaluation metrics for generative AI in business data analytics
Not only covering the fundamental concepts and techniques of generative AI and their practical application, the book also investigates how these techniques foster innovation and improve the quality of data in various business domains. It examines a broad range of topics from artificial data generation, security analytics, anomaly detection, reinforcement management, ethical consideration, challenges, and future scenarios. The book also features expert opinions and case studies to provide practical direction and valuable insight.
Table of Contents:
1. Exploring Inventive Potential of Generative AI and the Next Generation: Theory and Techniques 2. AI In Education 3. Integrating Artificial Intelligence in K-12 Education: A Systematic Review of Strategies, Outcomes, and Applications (2021–2024) 4. Precise and Computation Efficient Face Recognition Based Real Time Attendance System 5. The Role of Chatbots in Student Interaction: EFL Speaking and Cognitive Load Theory Management 6. Where You Live Matters: Decoding the Geographic Factors Influencing Data Scientist Salaries Through Machine Learning 7. Perception of Fairness: The Role of Explainable and Trustworthy Artificial Intelligence 8. Prosthetic Hand with Expended Gestures Using Sequential Artificial Intelligence Models 9. Generative Adversarial Networks (GANs) for Brain Tumor Imaging Applications: A Systematic Review 10. Machine Learning and Deep Learning for Colon Cancer Classification with Gene Expression and Histological Image Datasets 11. Transfer Learning-Machine Learning Hybrid Approach for Binary Classification of Breast Cancer Using Bilateral Filtering 12. Analyzing the Agricultural as well as Environmental Data to Address Predicting the Crop Yields for Achieving Zero Hunger (UN SDG 2: Zero Hunger) 13. Smart Homes and Beyond: A Review of IoT Applications Transforming Daily Life 14. AI-Powered CrossFit Coach: Integrating Local Small Language Model and Geospatial Technology for Enhanced Fitness Training 15. Deep Learning Architectures for Generative Models in Business Data Management 16. Optimizing Human-AI Collaboration for Strategic Decision-Making in Business Practices 17. Benchmarking Practices and Evaluation Metrics for Generative AI in Business Data Analytics
About the Author :
Adarsh Garg, PhD, acknowledged researcher and academician. She has 24 years of teaching, research, consultancy, and administrative experience. She received her Doctorate in Information Technology from GGSIP University, Delhi. She is currently working as Data Analytics and IT professor at GL Bajaj Institute of Management and Research, Gautam Buddh Nagar, Greater Noida, and as visiting professor at Delhi Technical University (East Campus), Delhi. Prior to joining GLBIMR, she has worked with organizations like Galgotias University, WIPRO Tech, GE, IMT Ghaziabad, and Punjabi University, Patiala. She has supervised 8 PhDs; published over 80 research papers in refereed international/national journals and conferences, 10 case studies and 8 edited books with renowned international publishers like CRC Press and Taylor & Francis Group. She is a member of various professional bodies like Computer Society of India and ACM-Computer Science Teacher’s Association. She is a member of various national and international academic and administrative committees. She is on the editorial board of reputed journals and a reviewer of articles for various journals of repute. Her areas of interest include business analytics, data mining, business intelligence, Python, RapidMiner, Orange, PowerBI, MIS, SAP, e-learning, and project management.
Fadi Al-Turjman, PhD, received his PhD in computer science from Queen’s University, Canada, in 2011. He is the “advisor to the chairman of the board of trustees on AI and informatics” at Near East University (NEU), Turkey, and the founding/current dean for AI and Informatics faculty in the same university. Prof. Al-Turjman is the head of Software Engineering Department, and the founding director for the AI and Robotics Institute and the International Research Center for AI and IoT at NEU. He has been awarded the lifetime golden-award of Dr. Suat
Gunsel from Near East University for the year 2022, in addition to several other recognitions and best research awards at key international venues. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 700 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 100 books about AI, cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers including Taylor and Francis Group. Prof. Al-Turjman is leading a number of international conferences and workshops in flagship AI and IoT societies. Currently, he serves as a book series editor with distinguished publishers, and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 10.8).
John Walsh, PhD, received his doctorate from Oxford University in 1997 for a thesis concerning international market entry strategy and the success of UK firms in Korea, Japan, and Taiwan. He has lived and worked in Sudan, Greece, Korea, Australia, the United Arab Emirates, Thailand and Vietnam, as well as his native UK. He has also taught courses at undergraduate, graduate, and PhD levels in a number of countries and led the campus at Mandalay and Kathmandu for a previous position, during which time he has taught courses in international business, marketing, management, entrepreneurialism, human resources, finance, and others. He has graduated more than 20 students to doctoral level and helped students achieve scholarships and funded workshop trips to Singapore, China, Hong Kong, Cambodia, and others. As research center director, he achieved research funding from a range of international partners, including UNCTAD, GiZ, the Ministry of Industry (Lao PDR), the World Bank, and others. He has also organized and hosted a number of international conferences and edited several academic journals, as well as acting as regional editor (Southeast Asia) for Emerald’s Emerging Market Case Studies series. In April 2021, he joined Krirk University as director and associate dean, English Language Programs, International College, Krirk University in Thailand. In this position, he has begun to manage the BBA, MBA, and DBA programs in English and initiated various research projects. He has been given special responsibility for the QS Accreditation project and Krirk University received special praise for entering the rankings as the fourth best university in Thailand.
