Q: 20
A team has started working on their first AI project and they are running this project like a traditional
software development project. About two months into the project the team is hitting some major
issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI
projects need to be treated like data centric projects.
What's the next best course of action?
Options
Discussion
Its A
Why not focus on data-centric best practices first? Treating AI like traditional software is the common trap here.
Option B maybe? I figure making Agile work for AI could help if the team just needs a tweak, but not totally sure. Anyone else trying B in practice exams?
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