Preparing data for an AI project

An AI project should begin with a specific question, not a model choice. Define the work to support, who will use the result, and how to judge whether the output is useful.

Next, review the data. Understand its source, usage rights, and whether it represents the cases the system needs to handle. Record gaps before starting a trial.

A limited pilot tests assumptions within a controlled scope and cost. Its findings help determine whether to improve the data, adjust the workflow, or avoid expansion for now.