Synopsis
Modern businesses face the challenge of how to most effectively harness the power of Artificial Intelligence (AI) to enhance customer engagement and streamline operations. The proliferation of AI tools like ChatGPT offers immense potential. Yet, businesses often need help to navigate the complexities of implementation and maximize the benefits. This gap between AI's promise and its practical application highlights the need for a comprehensive resource that offers practical insights and innovative strategies. Real-Time Data Decisions With AI and ChatGPT Techniques is a groundbreaking book that addresses this critical challenge. By providing a detailed analysis of ChatGPT and other AI tools, this book equips businesses with the knowledge and strategies needed to leverage AI effectively. From algorithmic enhancements to real-world applications, each chapter offers valuable insights and actionable recommendations, making this book an indispensable guide for businesses seeking to capitalize on AI's transformative potential. With contributions from leading experts in the field, this book covers a wide range of topics, including algorithmic challenges, use cases in various industries, security concerns, and future trends. Whether you're a business leader looking to enhance customer engagement or a researcher exploring the frontiers of AI, this book offers a comprehensive and insightful exploration of ChatGPT and its impact on the future of business.
About the Authors
Priyanka Sharma is working as an Assistant Professor in the department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, India. She has received her B.Tech. degree from Rajasthan Technical University, Kota, Rajasthan India, in 2012 in Information Technology and M.Tech. degree from Rajasthan Technical University, Kota, Rajasthan India, in 2016 in Computer Science. She is pursuing her doctorate from Rajasthan Technical University, Kota, Rajasthan India. She has 11+ years of teaching and academic experience. She has guided various M.Tech. research scholars. She is member of IEEE, ACM and various professional societies. Her Research interests are: Machine Learning, Deep learning, Data Mining.
Monika Jyotiyana received her Ph.D. and Masters’s degrees from the Central University of Rajasthan in 2023 and 2012 respectively. She received her bachelor’s degree from Aryan International College, affiliated to M.D.S. University, in 2010. She was UGC-JRF from July 2015–2017 and UGC-SRF from July 2017–2020 at Central University of Rajasthan. She has teaching experience at various reputed universities, including the Central University of Rajasthan, Lovely Professional University, and Manipal University Jaipur. Her research areas are machine learning, deep learning, artificial intelligence, and image processing. She has published various conference proceedings, journal publications, book chapters, and books. She is on the reviewers' board of reputed journals and various prestigious conferences.
A. V. Senthil Kumar is working as a Director & Professor in the Department of Research and PG in Computer Applications, Hindusthan College of Arts and Science, Coimbatore. He has finished is Doctor of Science during February 2023. He has more than 26 years of teaching experience and 5 years of Industry experience. He has to his credit 30 Book Chapters, 220 papers in International and National Journals, 55 papers in International and National Conferences, and 10 edited books and 2 text books. He is an Editor-in-Chief for various journals. Key Member for India, Machine Intelligence Research Lab (MIR Labs).He is Associate Editor of IEEE Access. He is the first person in South India to receive the highest degree in academic field D.Sc in Computer Science.
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