Big Data and Artificial Intelligence
The Topic “Big Data and Artificial Intelligence” explores the transformative impact of AI and Big Data across diverse domains, highlighting their role as catalysts for innovation, decision-making, and business model evolution. This reprint presents cutting-edge research, covering the full spectrum o...
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| Médium: | Online |
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| Jazyk: | angličtina |
| Vydáno: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Témata: | |
| On-line přístup: | ONIX_20250812T110751_9783725839759_273 |
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| _version_ | 1869518957586677760 |
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| collection | Directory of Open Access Books |
| description | The Topic “Big Data and Artificial Intelligence” explores the transformative impact of AI and Big Data across diverse domains, highlighting their role as catalysts for innovation, decision-making, and business model evolution. This reprint presents cutting-edge research, covering the full spectrum of AI and Big Data applications, from theoretical foundations to real-world implementations. Key topics include enabling technologies such as machine learning, neural networks, natural language processing, AI agents, analytics, and distributed computing. Methodological advancements, strategic frameworks, and models are examined, addressing areas such as sustainable development, industry innovation, ethical considerations, and social impact. Additionally, the collection showcases best practices, R&D project outcomes, and industry–government collaborations, offering valuable insights into the latest developments in AI-driven decision-making and data ecosystems. Edited by Prof. Miltiadis D. Lytras and Prof. Andreea Claudia Serban, this reprint compiles high-quality contributions from leading researchers and practitioners, providing a comprehensive resource for academics, industry experts, and policymakers interested in the evolving landscape of artificial intelligence and Big Data. The participating journals include Big Data and Cognitive Computing, Future Internet, Information, Remote Sensing, and Sustainability. |
| format | Online |
| id | doab-20.500.12854ir-165518 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1655182025-08-12T09:51:20Z Big Data and Artificial Intelligence Lytras, Miltiadis D. Serban, Andreea Claudia artificial intelligence big data machine learning open data decision making data science thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries The Topic “Big Data and Artificial Intelligence” explores the transformative impact of AI and Big Data across diverse domains, highlighting their role as catalysts for innovation, decision-making, and business model evolution. This reprint presents cutting-edge research, covering the full spectrum of AI and Big Data applications, from theoretical foundations to real-world implementations. Key topics include enabling technologies such as machine learning, neural networks, natural language processing, AI agents, analytics, and distributed computing. Methodological advancements, strategic frameworks, and models are examined, addressing areas such as sustainable development, industry innovation, ethical considerations, and social impact. Additionally, the collection showcases best practices, R&D project outcomes, and industry–government collaborations, offering valuable insights into the latest developments in AI-driven decision-making and data ecosystems. Edited by Prof. Miltiadis D. Lytras and Prof. Andreea Claudia Serban, this reprint compiles high-quality contributions from leading researchers and practitioners, providing a comprehensive resource for academics, industry experts, and policymakers interested in the evolving landscape of artificial intelligence and Big Data. The participating journals include Big Data and Cognitive Computing, Future Internet, Information, Remote Sensing, and Sustainability. 2025-08-12T09:51:18Z 2025-08-12T09:51:18Z 2025 book ONIX_20250812T110751_9783725839759_273 9783725839759 9783725839766 https://directory.doabooks.org/handle/20.500.12854/165518 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/topic/10983 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3976-6 10.3390/books978-3-7258-3976-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725839759 9783725839766 580 open access |
| spellingShingle | artificial intelligence big data machine learning open data decision making data science thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Big Data and Artificial Intelligence |
| title | Big Data and Artificial Intelligence |
| title_full | Big Data and Artificial Intelligence |
| title_fullStr | Big Data and Artificial Intelligence |
| title_full_unstemmed | Big Data and Artificial Intelligence |
| title_short | Big Data and Artificial Intelligence |
| title_sort | big data and artificial intelligence |
| topic | artificial intelligence big data machine learning open data decision making data science thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | artificial intelligence big data machine learning open data decision making data science thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20250812T110751_9783725839759_273 |