Agile software development seems compatible with AI projects, but the reality of implementing it reveals significant challenges. The complexity of developing and refining algorithms, along with the need for ongoing monitoring and adaptation, complicates the process. Current methodologies lack a robust framework for experimentation, leaving teams to navigate these hurdles with makeshift solutions.
