Artificial Intelligence in Media and Entertainment

Authors

  • Matthew N. O. Sadiku A&M University, Prairie View, Texas, USA
  • Samuel A. Ajayi Texas Southern University, Houston, TX 77004, USA
  • Janet O Sadiku Juliana King University, Houston , TX USA

DOI:

https://doi.org/10.54756/IJSAR.2025.5.1

Keywords:

Artificial Intelligence, Machine Learning, AI, Generative AI, Media& Entertainment

Abstract

The media and entertainment sector has long been a crucible of innovation, continually dazzling audiences with cutting-edge technology. Today, artificial intelligence (AI) pushes those boundaries even further, poised to reshape every stage of the value chain, from content creation to distribution and consumption. Armed with capabilities such as predictive analytics, recommendation engines, customer-journey mapping, and granular audience segmentation, AI has emerged as a true blockbuster force redefining industry dynamics. This paper explores the most compelling AI use cases now transforming media and entertainment and considers their broader implications for creators, distributors, and consumers alike.

Author Biographies

  • Matthew N. O. Sadiku, A&M University, Prairie View, Texas, USA

    Matthew N.O. Sadiku is a professor emeritus in the Department of Electrical and Computer Engineering at Prairie View A&M University, Prairie View, Texas.  He is the author of several books and papers. His areas of research interest include computational electromagnetics, computer networks, engineering education, and marriage counseling. He is a Life Fellow of IEEE.

  • Samuel A. Ajayi, Texas Southern University, Houston, TX 77004, USA

    Ajayi A. Samuel is currently a graduate student in the Department of Computer Science at Texas Southern University, Houston, Texas. He holds a master’s degree in mechanical engineering from Hanbat National University, South Korea (2024) and earned his bachelor’s degree in mechanical engineering from Ladoke Akintola University, Nigeria (2018). His research areas include heat and mass transfer, programmable logic controllers, cybersecurity, thermodynamics, condensation, and energy systems.

  • Janet O Sadiku, Juliana King University, Houston , TX USA

    Janet O. Sadiku holds bachelor degree in Nursing Science in 1980 at the University of Ife, now known as Obafemi Awolowo University, Nigeria and doctoral degree from Juliana King University, Houston, TX in December 2023.   She has worked as a nurse, educator, and church minister in Nigeria, United Kingdom, Canada, and United States.  She is a co-author of some papers and books.

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Matthew N. O. Sadiku, Samuel A. Ajayi, Janet O. Sadiku, "Artificial Intelligence in Finance”, Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-12 | Issue-2, April 2025

Sadiku, Matthew N. O., Samuel A. Ajayi, and Janet O. Sadiku. 2025. “Artificial Intelligence in Legal Practice: Opportunities, Challenges, and Future Directions”. Journal of Engineering Research and Reports 27 (4):68-80.

Matthew N. O. Sadiku, Samuel A. Ajayi, Janet O. Sadiku, "Predictive Analytics for Supply Chain" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-12 | Issue-2, April 2025

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Published

2025-08-18

Issue

Vol. 5 No. 5: August 2025

Section

Articles

License

Copyright (c) 2025 Matthew N. O. Sadiku, Samuel A. Ajayi, Janet O Sadiku

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Artificial Intelligence in Media and Entertainment. (2025). International Journal of Scientific and Applied Research (IJSAR), EISSN: 2583-0279, 5(5), 1-14. https://doi.org/10.54756/IJSAR.2025.5.1

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