Annotation:
In the context of the digital transformation of sports, there is an increasing need for systematic
use of data and artificial intelligence (AI) technologies to support decision-making at all levels – from
individual athlete training to the management of sports infrastructure. The aim of this paper is to
justify a conceptual architecture of a digital sports platform based on the integration of data analytics
and AI methods and adapted to the conditions of the Republic of Kazakhstan. The study employs
content analysis of scientific and applied publications, a comparative analysis of the functionality of
existing foreign and Russian software solutions for sports, as well as an expert assessment of their
applicability in the national context. Based on the analysis, a set of requirements for a digital sports
platform is formulated, including the integration of heterogeneous data sources, support for different
levels of sports training, adaptive AI-driven analytics, scalability and openness of the architecture. A
conceptual architecture of the platform is proposed, comprising data sources, data storage and
processing, AI-based analytical modules, user services and integration with external information
systems, while ensuring information security. The implementation of such a digital platform can
enhance the efficiency of the training process, support the development of mass sports and enable
more evidence-based sports policy planning in Kazakhstan.
Year of release:
2025
Number of the journal:
4(100)
Heading: Technical sciences and technologies
English
Русский
Қазақ