ai software development 2

https://page-wiki.win/index.php/Building_a_National_AI_Infrastructure:_The_Next_Frontier_for_Competitiveness

Modern AI software development involves training machine learning models on vast datasets, then integrating them into applications through APIs and microservices. It shifts the focus from hand-coded logic to data pipelines, model selection, and continuous monitoring for drift, demanding a blend of data science, engineering, and MLOps practices.