Getting AI Discovery Right

The Data & AI Business Design method has its origins in Analytics & AI Use Case Ideation, Validation, and Prioritization. Its focus is therefore on the Discovery and Define phases of data & AI strategies and solutions. But it is just one method and therefore one path to success. This week’s Good Read is about alternative techniques and tools for getting AI Discovery right.

Some of the concepts will seem very familiar to you (as Data & AI Business Designer), such as the prioritization matrix for scoring user impact, business value, and technical feasibility. Alternative concepts such as the AI Opportunity Tree and the graph matching of Opportunity Space and Solution Space are exciting. So, take a look at the article:

👉 https://towardsdatascience.com/getting-ai-discovery-right/

Related Articles

A Love Story: Miro+Lovable

I saw it for the first time in New York at Miro’s Canvas 25 conference: a Miro board was instantly turned into an app in Lovable—impressive! Last week, Miro asked me if I would like to test the MCP integration Miro+Lovable myself—as one of ten community members worldwide! Of course, I said yes. In this blog post, I’ll share my journey, my learnings, and, of course, the result: a ski race app. ⛷️

Responses