Artificial intelligence (AI) and machine learning (ML) are both terms that have become murky through over-use and misuse. Investors are increasingly sceptical of companies claiming their technology is powered by AI.
They question if, in fact, the promised mechanics are little more than computer-driven automation or merely standard multiple, or even single, linear regressions. Deeper investigation often reveals the software does not begin to approach sophisticated ML or deep-learning (DL) algorithms.