Launching AI Prototyping Projects

Starting your AI projects on a solid foundation

Define your AI Prototyping Goals

In the first part of this series we discussed what AI Prototyping Projects are and why you would launch one. In this article we’ll move along in that process and discuss launching AI prototyping projects in a way that sets them up for success.

In order to start your project, you’ll need to have a good idea of what your team needs to build. This could range anywhere from a paragraph description of a simple system to more complex definitions such as wireframes and component user stories the team can work on.

A simple project statement might look like this:

We’re launching a half-week spike to investigate the viability of using Azure Document Intelligence to automate extracting these 10 pieces of information from documents in 12 different formats from various vendors so that we can reliably automate data extraction and better handle high-volume spikes of incoming documents. This project will involve an AI specialist on staff as well as a team lead responsible for the area of concern.

This goal statement makes the following things clear:

• The problem type (document data extraction)
• The technology or technologies we’re considering using (Azure Document Intelligence)
• Who is working on the project