Testing means different things depending on whether you are a scientist, engineer, manager or QA. Most testing in AI projects is rubbish. Validation metrics do not mean you’ve tested things thoroughly. You may not think that testing beyond that is your job, but the company relies on you to ensure what you produce is good outside of your sterile development environment.
In this session, we’ll look at all the places where you need to be applying testing thinking and what you should be doing. I’ll go through the skills and tools you need for every step of an AI project so that you won’t end up being one of those embarrassing failures in the news…