What are the differences between Scrum and Kanban in AI projects?
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What are the differences between Scrum and Kanban in AI projects?
Scrum is an iterative framework focusing on fixed-length sprints, while Kanban is a continuous flow approach. In AI projects, Scrum can help manage complex tasks with defined roles, while Kanban allows for flexibility and quick adjustments.
Which one is better for AI development?
It depends on the project. Scrum is great for projects with clear goals and timelines, while Kanban is better for ongoing work where priorities can change frequently.
Can you give examples of when to use each?
Use Scrum when developing a new AI model with specific milestones. Use Kanban for maintaining and improving an existing AI system where tasks are more fluid.
What are the key roles in Scrum?
Key roles in Scrum include the Product Owner, who defines the vision; the Scrum Master, who facilitates the process; and the Development Team, which executes the work.
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