Question

Which of the following is not a stage in the AI Project Cycle? *

Problem Scoping

Data Acquisition

Data Exploration

Prototyping

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Answer 1

Answer:

Generally, every AI or data project lifecycle encompasses three main stages: project scoping, design or build phase, and deployment in production.

A prototype for an AI system is proof that a system reflecting the production design, without all the bells and whistles, can run end-to-end as code and produce predictions within the predefined constraints.

Most software development projects go through the same four phases: discovery, research, prototype, and production. ... Therefore, a working prototype is typically required for AI systems in order to have the confidence that the system will work end-to-end.