differentiate between it project cycle and ai project cycle
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- It defines each step that an organization should follow to take advantage of machine learning and artificial intelligence (AI) to derive practical business value. There are five major steps in the machine learning life cycle, all of which have equal importance and go in a specific order.
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IT Project Cycle
The IT Project Management lifecycle consists of five phases: ... Planning – develop the project schedule, assign resources, clarify risks. Delivery – do the project work (execution) and report on progress (monitor and control) Closeout – capture lessons learned, document project successes for future use.
AI project cycle
The machine learning life cycle is the cyclical process that data science projects follow. It defines each step that an organization should follow to take advantage of machine learning and artificial intelligence (AI) to derive practical business value.
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