Hype surrounding AI is to be expected. It happens with any significant advance in technology and tends to move in cycles as new breakthroughs occur, and investors inevitably follow the money. This hype often comes at the expense of clarity, however. The result, is people are often left confused about what the various terms mean.

The origin of the first AI wave is hard to pinpoint exactly. Still, it almost certainly has its roots in not only machine learning (ML) but also large language models (LLMs), which, over-simplified, allowed for smart automation. ML was often used for routine tasks such as remote diagnostics and self-testing for example. Then came the second wave, generative AI (GenAI), which was a significant step forward in terms of the technology’s ability to mimic human behaviour by creating content based on simple prompts.

Read more of Derren Nisbet's piece on the AI hype explained on Enterprise Times.