1. Do I have a SMART goal ?
“Everyone else is doing it” is a terrible reason to get into the A.I game.
2. Do I have enough data ?
Unique data, rather than cutting-edge modeling, is what creates a valuable A.I solution.
3. Are there errors in my dataset ?
Garbage in, garbage out.
4. Is my dataset a d*ck ?
5. Do I have the people to make this happen ?
There are currently only 22,000 PhD-level experts worldwide capable of developing cutting edge algorithms. And the ones that don’t work for large tech companies are expensive. Very expensive. Very, Very expensive.
6. Will I need to change my hierarchical structure ?
IT and business infighting is just not productive.
7. Will my employees become Luddites ?
Getting support from ALL levels of the organisation is paramount for a successful project.
8. Do I have the right architecture ?
The algorithm itself does less than 10% of the work.
9. Are there any regulatory hurdles ?
Checking not only current regulations, but being aware of the ones being discussed has always been key in the corporate world, and shall remain so.
10. Do I have time ?
In fact, if a company is in a time-sensitive crunch, A.I is probably not the answer.