When should the question of algorithms come up in AI projects? AI algorithms do a lot of useful things. We look into the basics of algorithms here, what they do, their advantages and drawbacks and consider to what extent they will solve your problem.
Public hype about AI algorithms doing everybody's work for them, doomsday predictions of AI taking over humanity, AI is talked about as if the algorithms had agency. They don't. AI doesn't do what a lot of people pretend it does.
How do small teams in a regular business try to get value out of AI? Let's take a break from marveling at protein folding, AlphaZero and dancing robots. Let's talk about normal people trying to do AI. This is the first in a series of about 5 posts on getting started with AI projects.
This channel will be my take on what it is like to run businesses, lead teams and manage non-tech-core organizations (read: non-GAFA+, non-VC-funded, non-specialized-tech vendors) in a technology-heavy world.