Lately, I’ve been running some projects where the data simply didn’t exist when the project started. Basically, I sort of like this - I know I shouldn’t, because it makes the project A LOT more complicated than if you were to start with a huge, available and preferably already pre-processed data set. But collecting data from the real world is a cross-functional challenge and a lot of “general engineering” skills are needed. And I’m an engineer.
And it’s fun! Not only do you get to run AI-projects - you get to deep-dive into construction machinery, production lines and product development, and a million other interesting domain-specific topics.
Of course, as a domain expert reading this you might be very familiar with all this, and less familiar with the world of data and AI. Hopefully, you’re about to start some AI exploration and have an idea of how that can improve your process.