AI specialists argue that the rigid frameworks of agile process may hinder AI projects, which often need flexibility for data exploration and experimentation.
The agile software movement emphasizes individual interactions over rigid processes, yet many organizations impose strict adherence to agile methods, which can impact AI design.
One researcher pointed out that Agile’s sprint structure might force teams to break down AI tasks into trivial steps, impacting project depth and effectiveness.
AI implementation often encounters hurdles when confined to agile's short planning cycles, as AI projects can possess dynamic, unpredictable phases needing exploration.
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