Aspects of Integrating Artificial Intelligence Methods into Web Technology Infrastructure

This paper proposes web performance evaluation metrics and their intelligent analysis. It demonstrates that the application of artificial intelligence approaches in this process ensures higher accuracy, flexibility, and scalability of performance assessment, thereby providing a solid foundation for targeted and effective improvement of website performance.

The paper also shows that artificial intelligence represents a significant technological enabler for improving website performance; however, its application requires a well-considered and balanced approach. The implementation of artificial intelligence models is associated with both technical and organizational challenges, making it necessary to evaluate the trade-offs between effectiveness, model complexity, and infrastructural costs. Maintaining this balance ultimately determines the successful integration of artificial intelligence into digital products.