A Study on AI-linked Life Sports Business based on Big Data

This study aims to understand the concepts of big data and AI, grasp their meaning and vision, and analyze changes in the market for lifestyle sports businesses.Through this, I intend to diagnose the development potential of the lifestyle sports business field linked to AI that can be actively discussed and developed in Korea.The development of digital technology has provided optimal conditions for mass production of data.To respond to rapid changes in population structure and meet the demand for health, it is necessary to activate lifestyle sports businesses in various ways based on big data and AI.Through recent changes in lifestyle sports trends, AI-linked programs based on big data will be able to provide consumers with a wide range of choices.In particular, trends in personalized healthcare and lifestyle sports learning design should be analyzed, and new markets and businesses should be linked.The results of this study are as follows.(1) Investments in the public and private sectors should be activated.This is because data that serves as the basis for AI must be accumulated for convergence and integration with related technologies to occur.For this purpose, domestic ministries should present consistent policy support programs.(2) Educational programs between public and non-profit organizations should be prepared.For this purpose, curriculum and programs for generative AI and sports big data analysis should be prepared.In addition, innovative curricula for training sports big data analysts should be developed, and specialized courses at universities or research institutes should be improved.

Authors

Publication Details

Journal
Asia-pacific Journal of Convergent Research Interchange
Published
2025-06-27
DOI
https://doi.org/10.47116/apjcri.2025.06.08
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
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article

A Study on AI-linked Life Sports Business based on Big Data

Kae-Sung Moon
Asia-pacific Journal of Convergent Research Interchange
Diverse Approaches in Healthcare and Education Studies
article

A Study on AI-linked Life Sports Business based on Big Data

Kae-Sung Moon
article en

Abstract

This study aims to understand the concepts of big data and AI, grasp their meaning and vision, and analyze changes in the market for lifestyle sports businesses.Through this, I intend to diagnose the development potential of the lifestyle sports business field linked to AI that can be actively discussed and developed in Korea.The development of digital technology has provided optimal conditions for mass production of data.To respond to rapid changes in population structure and meet the demand for health, it is necessary to activate lifestyle sports businesses in various ways based on big data and AI.Through recent changes in lifestyle sports trends, AI-linked programs based on big data will be able to provide consumers with a wide range of choices.In particular, trends in personalized healthcare and lifestyle sports learning design should be analyzed, and new markets and businesses should be linked.The results of this study are as follows.(1) Investments in the public and private sectors should be activated.This is because data that serves as the basis for AI must be accumulated for convergence and integration with related technologies to occur.For this purpose, domestic ministries should present consistent policy support programs.(2) Educational programs between public and non-profit organizations should be prepared.For this purpose, curriculum and programs for generative AI and sports big data analysis should be prepared.In addition, innovative curricula for training sports big data analysts should be developed, and specialized courses at universities or research institutes should be improved.

Asia-pacific Journal of Convergent Research InterchangeVol. 11(6)
Openalex Percentile: Top 79%
Diverse Approaches in Healthcare and Education Studies
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A Study on AI-linked Life Sports Business based on Big Data — Kae-Sung Moon · Asia-pacific Journal of Convergent Research Interchange (2025) | TGRS Research Map | TGRS