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- [Michael] I've enjoyed the opportunity to talk with you

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about AI during this course.

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Here's a few things I hope you'll remember going forward.

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First of all, and most importantly,

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if you remember nothing else,

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remember that for all the height and discussion of AI today,

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while AI is certainly powerful, it is very limited.

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There's no indication that humans are getting ready

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to be replaced by AI or computers in any meaningful way.

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Remember that when we're thinking about AI,

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the process of coming up with that artificial intelligence

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all starts with defining a goal,

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an objective goal that we're trying to reach

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and then determining what the constraints are around it.

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We saw that when we looked at

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the robo-advisor program that we constructed, right?

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We had a goal, either maximize risk, or minimize return,

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and we then came up with a set of constraints

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around our asset allocation, and a set of objectives

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that the investor was trying to achieve,

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along with the characteristics of that investor,

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and we spit out the resulting asset allocation.

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Once we have the system up and running though,

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we need to optimize it in an ongoing basis.

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We saw that when we talked about product pricing.

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That product pricing changes over time

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as the underlying data changes.

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So the AI helps us to optimize in realtime.

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The AI can then make a decision, or make a recommendation

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that we as humans can act on.

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We saw that when we looked at advertising for instance.

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Which products should we advertise,

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product a or product b?

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Using an AI algorithm, we were better able to establish

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which particular area was more profitable

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from a marketing standpoint.

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I hope you've enjoyed this gentle introduction to AI.

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If you'd like to learn more and dig a little deeper,

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I encourage you to check out other related courses

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here on LinkedIn Learning.

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I'll talk to you next time, thank you.