Big data analytics and AI as success factors for online video streaming platforms
As the trend in the current generation with the use of mobile devices is rapidly increasing, online video streaming has risen to the top in the entertainment industry. These platforms have experienced radical expansion due to the incorporation of Big Data Analytics and Artificial Intelligence which...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Big Data |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdata.2025.1513027/full |
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| _version_ | 1825208888856674304 |
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| author | Muhammad Arshad Muhammad Arshad Choo Wou Onn Ashfaq Ahmad Goabaone Mogwe Goabaone Mogwe |
| author_facet | Muhammad Arshad Muhammad Arshad Choo Wou Onn Ashfaq Ahmad Goabaone Mogwe Goabaone Mogwe |
| author_sort | Muhammad Arshad |
| collection | DOAJ |
| description | As the trend in the current generation with the use of mobile devices is rapidly increasing, online video streaming has risen to the top in the entertainment industry. These platforms have experienced radical expansion due to the incorporation of Big Data Analytics and Artificial Intelligence which are critical in improving the user interface, improving its functioning, and customization of recommended content. This paper seeks to examine how Big Data Analytics makes it possible to obtain large amounts of data about users and how they view, what they like, or how they behave. While customers benefit from this data by receiving more suitable material, getting better recommendations, and allowing for more efficient content delivery, AI utilizes it. As a result, the study also points to the importance and relevance of such technologies to promote business development, and user interaction and maintain competitiveness in the online video streaming market with examples of their effective application. This work presents a comprehensive investigation of the combined role of Big Data and AI and presents the necessary findings to determine their efficacy as success factors of existing and future video streaming services. |
| format | Article |
| id | doaj-art-bffc1e78189b42149b2d772182a3e81e |
| institution | Kabale University |
| issn | 2624-909X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Big Data |
| spelling | doaj-art-bffc1e78189b42149b2d772182a3e81e2025-02-06T17:39:44ZengFrontiers Media S.A.Frontiers in Big Data2624-909X2025-02-01810.3389/fdata.2025.15130271513027Big data analytics and AI as success factors for online video streaming platformsMuhammad Arshad0Muhammad Arshad1Choo Wou Onn2Ashfaq Ahmad3Goabaone Mogwe4Goabaone Mogwe5School of Informatics and Cybersecurity, Technological University Dublin, Blanchardstown, IrelandUNICAF, Larnaca, CyprusFaculty of Data Science and Information Technology, INTI International University, Nilai, MalaysiaDepartment of Information Technology, Lahore Garrison University, Lahore, PakistanUNICAF, Larnaca, CyprusUniversity of East London, London, United KingdomAs the trend in the current generation with the use of mobile devices is rapidly increasing, online video streaming has risen to the top in the entertainment industry. These platforms have experienced radical expansion due to the incorporation of Big Data Analytics and Artificial Intelligence which are critical in improving the user interface, improving its functioning, and customization of recommended content. This paper seeks to examine how Big Data Analytics makes it possible to obtain large amounts of data about users and how they view, what they like, or how they behave. While customers benefit from this data by receiving more suitable material, getting better recommendations, and allowing for more efficient content delivery, AI utilizes it. As a result, the study also points to the importance and relevance of such technologies to promote business development, and user interaction and maintain competitiveness in the online video streaming market with examples of their effective application. This work presents a comprehensive investigation of the combined role of Big Data and AI and presents the necessary findings to determine their efficacy as success factors of existing and future video streaming services.https://www.frontiersin.org/articles/10.3389/fdata.2025.1513027/fullbig data analyticssustainable development educationartificial intelligenceclimate modelingonline video streaming platformsdata-driven insights |
| spellingShingle | Muhammad Arshad Muhammad Arshad Choo Wou Onn Ashfaq Ahmad Goabaone Mogwe Goabaone Mogwe Big data analytics and AI as success factors for online video streaming platforms Frontiers in Big Data big data analytics sustainable development education artificial intelligence climate modeling online video streaming platforms data-driven insights |
| title | Big data analytics and AI as success factors for online video streaming platforms |
| title_full | Big data analytics and AI as success factors for online video streaming platforms |
| title_fullStr | Big data analytics and AI as success factors for online video streaming platforms |
| title_full_unstemmed | Big data analytics and AI as success factors for online video streaming platforms |
| title_short | Big data analytics and AI as success factors for online video streaming platforms |
| title_sort | big data analytics and ai as success factors for online video streaming platforms |
| topic | big data analytics sustainable development education artificial intelligence climate modeling online video streaming platforms data-driven insights |
| url | https://www.frontiersin.org/articles/10.3389/fdata.2025.1513027/full |
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