Why should you read this article?
IBM uses an interesting workflow for AI projects that is based on design thinking principles, shown in detail in its specialisation on Coursera. It’s a long MOOC, that goes into thorough detail on implementing AI apps, and its worth taking, if you have the time and technical knowledge. If you are only interested in learning the workflow and how to implement it on AI projects, this article can help you.
What is design thinking?
Design thinking is a type of thinking used when developing design concepts (for example when designing a new building or tech product), which seeks to understand the product from the end user’s point of view. This is done not only by empathising with the user, but also by generating multiple ideas in brainstorming sessions, prototyping, and then testing those ideas. It is, thus, an iterative and hands-on approach by design. The main phases of the process are: empathise, define, ideate, prototype and test. I’ll not get into the details of design thinking for product creation, but will focus instead on how this process can be adapted to AI projects.

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