International Journal of Leading Research Publication

E-ISSN: 2582-8010   •   Impact Factor: 9.56

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 April 2025 Submit your research before last 3 days of to publish your research paper in the issue of April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

The Role of Machine Learning in Sports Content Creation and Distribution

Author(s) Srinivas Balasubramanian
Country United States
Abstract The future of sports broadcasting and content will be driven by artificial intelligence, or AI. AI can be used in broadcasting in a variety of ways, including automated content generation, real-time game analysis, distribution strategies, and, of course, player safety. Machine learning (ML) has revolutionized various industries, and its impact on sports content creation and distribution is profound. The ability to process vast amounts of data, generate real-time insights, and personalize content has enhanced the way sports media is produced and consumed. ML-driven analytics assist in content automation, predictive modeling, and audience engagement strategies. This paper explores the applications of machine learning in sports media, focusing on automated content generation, personalized recommendations, real-time game analysis, and distribution strategies. Additionally, it examines challenges and future trends in ML adoption within the sports industry.
Keywords Machine Learning, Sports Analytics, Content Creation, Sports Broadcasting, AI in Media, Personalized Content, Real-time Analysis, Predictive Modeling
Field Engineering
Published In Volume 2, Issue 12, December 2021
Published On 2021-12-02
Cite This The Role of Machine Learning in Sports Content Creation and Distribution - Srinivas Balasubramanian - IJLRP Volume 2, Issue 12, December 2021. DOI 10.5281/zenodo.15051203
DOI https://doi.org/10.5281/zenodo.15051203
Short DOI https://doi.org/g88z2s
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJLRP DOI prefix is
10.70528/IJLRP

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 5 Isu 12 Cover Page Vol 5 Isu 11 Cover Page Vol 5 Isu 10

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJLRP
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijlrp.com