Convergence of cloud with AI for big data analytics foundations and innovation
This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and bi...
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| Sprache: | English |
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Hoboken, NJ Beverly, MA
Wiley
2023
Hoboken, NJ Beverly, MA Scrivener Publishing 2023 |
| Schriftenreihe: | Advances in learning analytics for intelligent cloud-IoT systems
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| 245 | 1 | 0 | |a Convergence of cloud with AI for big data analytics |b foundations and innovation |c edited by Danda B. Rawat, Lalit K. Awasthi, Valentina Emilia Balas, Mohit Kumar and Jitendra Kumar Samriya |
| 264 | 1 | |a Hoboken, NJ |a Beverly, MA |b Wiley |c 2023 | |
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| 500 | |a Includes bibliographical references and index. - Online resource; title from PDF title page (John Wiley, viewed February 15, 2023) | ||
| 520 | |a This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals. | ||
| 650 | 0 | |a Cloud computing | |
| 650 | 0 | |a Artificial intelligence | |
| 650 | 0 | |a Big data | |
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| 650 | 4 | |a Données volumineuses | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Big data | |
| 650 | 4 | |a Cloud computing | |
| 700 | 1 | |a Rawat, Danda B. |d 1977- |e HerausgeberIn |4 edt | |
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| illustrated | Not Illustrated |
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| series2 | Advances in learning analytics for intelligent cloud-IoT systems |
| spelling | Convergence of cloud with AI for big data analytics foundations and innovation edited by Danda B. Rawat, Lalit K. Awasthi, Valentina Emilia Balas, Mohit Kumar and Jitendra Kumar Samriya Hoboken, NJ Beverly, MA Wiley 2023 Hoboken, NJ Beverly, MA Scrivener Publishing 2023 1 online resource. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advances in learning analytics for intelligent cloud-IoT systems Includes bibliographical references and index. - Online resource; title from PDF title page (John Wiley, viewed February 15, 2023) This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals. Cloud computing Artificial intelligence Big data Infonuagique Intelligence artificielle Données volumineuses artificial intelligence Rawat, Danda B. 1977- HerausgeberIn edt Awasthi, Lalit Kumar HerausgeberIn edt Balas, Valentina Emilia HerausgeberIn edt Kumar, Mohit HerausgeberIn edt Samriya, Jitendra Kumar HerausgeberIn edt 1119904889 Erscheint auch als Druck-Ausgabe 1119904889 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781119904885/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Convergence of cloud with AI for big data analytics foundations and innovation Cloud computing Artificial intelligence Big data Infonuagique Intelligence artificielle Données volumineuses artificial intelligence |
| title | Convergence of cloud with AI for big data analytics foundations and innovation |
| title_auth | Convergence of cloud with AI for big data analytics foundations and innovation |
| title_exact_search | Convergence of cloud with AI for big data analytics foundations and innovation |
| title_full | Convergence of cloud with AI for big data analytics foundations and innovation edited by Danda B. Rawat, Lalit K. Awasthi, Valentina Emilia Balas, Mohit Kumar and Jitendra Kumar Samriya |
| title_fullStr | Convergence of cloud with AI for big data analytics foundations and innovation edited by Danda B. Rawat, Lalit K. Awasthi, Valentina Emilia Balas, Mohit Kumar and Jitendra Kumar Samriya |
| title_full_unstemmed | Convergence of cloud with AI for big data analytics foundations and innovation edited by Danda B. Rawat, Lalit K. Awasthi, Valentina Emilia Balas, Mohit Kumar and Jitendra Kumar Samriya |
| title_short | Convergence of cloud with AI for big data analytics |
| title_sort | convergence of cloud with ai for big data analytics foundations and innovation |
| title_sub | foundations and innovation |
| topic | Cloud computing Artificial intelligence Big data Infonuagique Intelligence artificielle Données volumineuses artificial intelligence |
| topic_facet | Cloud computing Artificial intelligence Big data Infonuagique Intelligence artificielle Données volumineuses artificial intelligence |
| url | https://learning.oreilly.com/library/view/-/9781119904885/?ar |
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