The AI workflow

Building and deploying AI should follow a workflow that respects the fact that the AI component fits in the larger context of pre-existing processes and use cases. The AI workflow may be characterized as a four step process:

  1. Characterize the problem, goal, and business case
  2. Develop a method for solving the problem
  3. Design a deployment strategy that integrates the AI component into existing workflows
  4. Design and implement a continuous evaluation methodology

To help you ensure the AI workflow is followed, we offer a checklist of considerations and questions to ask during each step of the workflow.

Characterize the problem

Given the excitement around AI, there is a risk of adding AI technology to a platform  just for the sake of not missing ...

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