Optimizing Efficiency in Artificial Intelligence Projects through Data Analytics: Comparative Analysis

Анотація

This research addresses the intricacies of using data analysis for managing AI projects
and the development of a machine learning model to optimize time and resource allocation

across key stages: Proof of Concept (POC), Minimum Viable Product (MVP), and De-
ployment. Through a comprehensive literature review, this article highlights the signicant

benets and challenges of integrating AI and data analytics in project management. It also
analyzes the potential advantages of a model that oers a data-driven approach to improve
decision-making, reduce development times, and enhance resource utilization. Finally, this
study lays the foundation for future research and the development of a model that ensures
eciency, minimizes risks, and contributes