Author(s)

Aws I. Abu Eid^1*, Achraf Ben Miled^2,3, Ahlem Fatnassi², Majid A. Nawaz², Ashraf F. A. Mahmoud², Faroug A. Abdalla², Chams Jabnoun², Aida Dhibi², Firas M. Allan², Mohammed Ahmed Elhossiny^4,5, Salem Belhaj², Imen Ben Mohamed²

¹Faculty of Computing Studies, Arab Open University, Amman, Jordan.
²Computer Science Department, Science College, Northern Border University, Arar, Kingdom of Saudi Arabia.
³Artificial Intelligence and Data Engineering Laboratory, LR21ES23, Faculty of Sciences of Bizerte, University of Carthage, Tunis, Tunisia.
⁴Applied College, Northern Border University, Arar, Kingdom of Saudi Arabia.
⁵Faculty of Specific Education, Mansoura University, Mansoura, Egypt.

This article delves into the intricate relationship between big data, cloud computing, and artificial intelligence, shedding light on their fundamental attributes and interdependence. It explores the seamless amalgamation of AI methodologies within cloud computing and big data analytics, encompassing the development of a cloud computing framework built on the robust foundation of the Hadoop platform, enriched by AI learning algorithms. Additionally, it examines the creation of a predictive model empowered by tailored artificial intelligence techniques. Rigorous simulations are conducted to extract valuable insights, facilitating method evaluation and performance assessment, all within the dynamic Hadoop environment, thereby reaffirming the precision of the proposed approach. The results and analysis section reveals compelling findings derived from comprehensive simulations within the Hadoop environment. These outcomes demonstrate the efficacy of the Sport AI Model (SAIM) framework in enhancing the accuracy of sports-related outcome predictions. Through meticulous mathematical analyses and performance assessments, integrating AI with big data emerges as a powerful tool for optimizing decision-making in sports. The discussion section extends the implications of these results, highlighting the potential for SAIM to revolutionize sports forecasting, strategic planning, and performance optimization for players and coaches. The combination of big data, cloud computing, and AI offers a promising avenue for future advancements in sports analytics. This research underscores the synergy between these technologies and paves the way for innovative approaches to sports-related decision-making and performance enhancement.

Artificial Intelligence, Machine Learning, Spark Apache, Big Data, SAIM

Eid, A. , Miled, A. , Fatnassi, A. , Nawaz, M. , Mahmoud, A. , Abdalla, F. , Jabnoun, C. , Dhibi, A. , Allan, F. , Elhossiny, M. , Belhaj, S. and Mohamed, I. (2024) Sports Prediction Model through Cloud Computing and Big Data Based on Artificial Intelligence Method. Journal of Intelligent Learning Systems and Applications, 16, 53-79. doi: 10.4236/jilsa.2024.162005.