Where should you integrate A.I. into your business?
The decision to integrate any form of artificial intelligence into your existing business is not one to be made lightly.
And the worst thing you can do with A.I. is put it somewhere it doesn’t belong
I don’t need to explain why. There are countless dystopian science fiction stories serving as cautionary tales of A.I. in the wrong place (the Matrix) at the wrong time (the Terminator series).
But these days, we’re even starting to see a few real-life science stories offering a non-fiction glimpse of improperly integrated A.I. making a mess of things.
So let’s talk about where plugging A.I. into your own business framework makes sense, using the most recent A.I. variant: GPTs.
Oh, hell no.
And I have a one word argument: Exploitation.
Hackers. Miscreants. Malfeasance. You only have to look at crypto to see how one little leak in a script can drain millions of dollars from thousands of people in a few seconds.
And that’s just my top reason. I could come up with a hundred more, but that’s a listicle and I don’t do those.
Anyway, what all those reasons boil down to is that all code, human-written or machine-written, fails at a breaking point.
That breaking point is usually found at one of several outliers — a series of “what-ifs” that the developer has to take into account when telling the code what to do and what not to do. Most of these outliers are unknown at the time of development, usually only found when “that one idiot user does that one stupid thing for God knows what reason.”
That’s an actual coding term.
However…
Absolutely.
I’m a former developer and a huge proponent of no-code and low-code platforms, which are essentially code chunks with a logical human interface to integrate low-level automation.