History has a habit of repeating itself, and we’ve seen hype cycles before: the opinions, the buzz, the large investment, mass adoption and then POP the hype dies down and the focus moves elsewhere.
This cycle of AI does feel slightly different given the reach and scope for innovation, but there are still some important main stays when it comes to working with AI and most emerging technologies.
These main stays form the basis of our approach to working with AI, so that we have the best chance of creating effective and impactful AI solutions that persist long after peoples attention has moved on.