Quality Assurance (QA) in the Context of AI Cognilytica

This post was featured in our Cognilytica Newsletter, with additional details. Everyone who has ever worked on a software project knows that you don't just simply put code and content out to your customers, employees, or stakeholders without first testing it to make sure it's not broken or dead on delivery. Quality Assurance (QA) is such a core part of any technology or business delivery that it's one of the essential components of any development methodology. And if you're doing this in an agile fashion, you do it in small, iterative chunks so you make sure to respond to the continuously evolving and changing needs of the customer. Surely AI projects are no different.