Real-Time Artificial Intelligence (AI) Key Motivations, Technologies, Platforms, and Use Cases
Language: English
Published by Apple Academic Press, 2026
- Hardcover
- New
Condition: New
£ 314.24
Quantity: 2 available
Add to basketItem description from seller
Discusses importance of real-time artificial intelligence services and applications for setting up and sustaining real-time enterprises, using historical as well as runtime data to extract actionable insights. Explains trends and transitions in the AI space and how they are being used to bring real transformation in the cybersecurity space. Sprache: Englisch Gewicht in Gramm: 868.
Seller Inventory # IB-5657061
- Title
- Real-Time Artificial Intelligence (AI) Key Motivations, Technologies, Platforms, and Use Cases
- Publisher
- Apple Academic Press
- Publication year
- 2026
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 1998511340
- ISBN 13
- 9781998511341
- Item weight
- 868 grams
Demonstrating the benefits of the real-time capture of data using AI, this new volume discusses how AI services and applications are indispensable for setting up and sustaining real-time enterprises, using historical as well as runtime data to extract actionable insights in the needed time, leading to insights. Chapters showcase the applications of real-time artificial intelligence in diverse sectors, such as using deep learning for plant disease detection, using AI for IT entrepreneurship, in healthcare for breast cancer and eclampsia screening and monitoring, for fraud detection in online transactions, for traffic sign detection and classification in autonomous vehicles, and more.
"Synopsis" may belong to another edition of this title.
About the Author
Pethuru Raj, PhD, is Chief Architect and Vice President at Reliance Jio Platforms Ltd., India. Previously, he worked as a cloud architect at the IBM Global Cloud Center of Excellence, as an enterprise architect at Wipro Consulting Services, and as a software architect at Robert Bosch Corporate Research. In total, he has gained more than 24 years of IT industry experience and eight years of research experience.
B. Sundaravadivazhagan, PhD, is a Professor of Information Technology at the University of Technology and Applied Science, Oman. With over 23 years of experience, he has published many research papers and has contributed to multiple international conferences. He has received research grants from Oman’s TRC and serves on academic committees, including at Amrita University and Saveetha School of Engineering, India.
V. Kavitha, PhD, is an Associate Professor of Computer Science with Cognitive Systems, Sri Ramakrishna College of Arts and Science, India. She has over 20 years of teaching and research experience. She has published many research papers in international as well as national journals and international conferences and book chapters and has delivered technical talks in the areas of big data analysis and cybersecurity.
B. Narendra Kumar Rao, PhD, is a Professor and Program Head of the Department of AI & ML at the School of Computing, Mohan Babu University, India, where he is also a member of the Research Advisory Committee and Doctoral Supervisor Cluster Head. He has been a conference convener and conference chair, has published articles in reputed journals and conferences, and has edited two proceedings published by Springer. He has won several awards for his work.
Hannah Vijaykumar, PhD, is an Associate Professor and Head of the Department of Computer Science at Anna Adarsh College for Women, India, where she also serves as Dean of Computational Studies. She has 26 years of teaching experience. She has published papers in Scopus-indexed journals and in international conferences. She has also published book chapters and authored several books. She has two international patents to her credit.
"About the title" may belong to another edition of this title.
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