The AI Project Cycle

The AI Project Cycle is a cycle/order of an AI Project which defines every step an organization must take to harness/get value (Monetary or others) from that AI Project to get more ROI (Return on Investment).

AI Project Cycle

AI Project Cycle

You might have seen AI Project Cycle images Starting from ‘Problem Scoping’, ignoring ‘Problem Identification’, But in this article we will discuss about the one with ‘Problem Identification’ which is a more accurate representation.

AI Project Cycle

AI Project Cycle

In Today’s Article, we will discuss the various stages of the AI Project Cycle, starting with Problem Identification, followed by Problem Scoping, Data Acquisition, Data Exploration, Data Modelling, Evaluation and finally Deployment.

Problem Identification: Problem Identification consists of:

• Clear identification of the problem, finding the root cause of the problem.