- [Michael] I've enjoyed the opportunity to talk with you
about AI during this course.
Here's a few things I hope you'll remember going forward.
First of all, and most importantly,
if you remember nothing else,
remember that for all the height and discussion of AI today,
while AI is certainly powerful, it is very limited.
There's no indication that humans are getting ready
to be replaced by AI or computers in any meaningful way.
Remember that when we're thinking about AI,
the process of coming up with that artificial intelligence
all starts with defining a goal,
an objective goal that we're trying to reach
and then determining what the constraints are around it.
We saw that when we looked at
the robo-advisor program that we constructed, right?
We had a goal, either maximize risk, or minimize return,
and we then came up with a set of constraints
around our asset allocation, and a set of objectives
that the investor was trying to achieve,
along with the characteristics of that investor,
and we spit out the resulting asset allocation.
Once we have the system up and running though,
we need to optimize it in an ongoing basis.
We saw that when we talked about product pricing.
That product pricing changes over time
as the underlying data changes.
So the AI helps us to optimize in realtime.
The AI can then make a decision, or make a recommendation
that we as humans can act on.
We saw that when we looked at advertising for instance.
Which products should we advertise,
product a or product b?
Using an AI algorithm, we were better able to establish
which particular area was more profitable
from a marketing standpoint.
I hope you've enjoyed this gentle introduction to AI.
If you'd like to learn more and dig a little deeper,
I encourage you to check out other related courses
here on LinkedIn Learning.
I'll talk to you next time, thank you.