The field of AI product development has a dirty secret: most AI initiatives fail. According to one report, eight out of ten AI projects do not succeed or provide value, typically because they can't find enough appropriate data to train models, can't generate accurate enough models, are too expensive to train, or address a problem that users don't end up caring about.