Most companies are building AI wrong.
Here's why.
Most people treat AI like one thing.
It's five very different capabilities that do very different jobs.
Confusing them is probably why half the implementations fail.
Here's my view:
𝟭. 𝗣𝗥𝗘𝗗𝗜𝗖𝗧𝗜𝗩𝗘 𝗔𝗜 & 𝗠𝗔𝗖𝗛𝗜𝗡𝗘 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚
The boring stuff that makes money.
It reads your past data, flags risks, forecasts demand, and spots fraud. If you don't have this, you aren't ready for the rest.
𝟮. 𝗣𝗘𝗥𝗖𝗘𝗣𝗧𝗜𝗢𝗡 𝗔𝗜 (𝗗𝗘𝗘𝗣 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚)
Giving your business eyes and ears…
They are failing because they are trying to build Level 5 systems on top of Level 1 data. 5d ago 1 like