Generative Ai 2.0 and Data Analytics - Couverture rigide

Couverture rigide

ISBN 10 : 1032982144 ISBN 13 : 9781032982144

Editeur : Auerbach, 2026

Synopsis

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.

A propos du livre

À propos de l?auteur

A researcher and academician, Dr. Adarsh Garg has 24 years of teaching, research, consultancy, and administrative experience. She received her PhD degree in information technology from GGSIP University, Delhi. She is currently working as Professor of Data Analytics and IT at GL Bajaj Institute of Management and Research, Gautam Buddh Nagar, Greater Noida, and as a Visiting Professor at Delhi Technical University, Delhi. Prior to joining GLBIMR, she worked with organizations like Galgotias University, WIPRO Tech, GE, IMT Ghaziabad, and Punjabi University, Patiala. She is currently supervising eight PhDs. She has published more than 70 research papers and edited five books.

Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is a professor and the associate dean for research and the founding director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Dept., and 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).

Prof. John Walsh is the Associate Dean and Director, International College, Krirk University, Thailand. He 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 level 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, and finance.

Détails de l'édition

• Éditeur: Auerbach
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 1032982144
• ISBN 13: 9781032982144
• Reliure: Relié
• Nombre de pages: 226
• Éditeur: Garg Adarsh, Al-Turjman Fadi, Walsh John
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible