Help me outline this talk about AI

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Hello,

This year I obtained my diploma in Digital Marketing, during the classes I noticed that several of my colleagues had some difficulties with technical concepts related to computer science, in the same way that I, having worked on IT for many years, had difficulties with some marketing concepts.

Then I decided to prepare some talks on technology, at an introductory level and focused on that group that is mainly composed of students and professionals of communication, journalism, and advertising, and are interested in digital marketing.

The first talk is about artificial intelligence and machine learning, what it is, and how important it is today in our lives and especially in marketing.

At first, it would be a single classroom class of about two hours, to introduce the topic in an entertaining and accessible way. I have delineated it and I want to ask you to help me define the scope since I am not sure of the starting point and the depth to which the talk should reach.

For example, will it be necessary to include a brief explanation of what an algorithm is? I refer to the basic concept of the program. Since the term will be used throughout the development of the topics.

On the other hand, after introducing the types of Machine Learning, will it also be useful to review methods and algorithms that are used in each type, or is it to go into much detail?

The goal is for students to understand what is the meaning of Artificial Intelligence, Deep Learning, Big Data, Chatbots, predictive searches, etc. at the conceptual level and serve as a starting point for those who want to delve into the subject. Also, generate a space where they can ask and remove all doubts.

And finally, I also ask you about what the topic of the next talk could be.

I was thinking of something like describing what goes on under the hood of a web page or a mobile application, referring to the different technologies that come together so that we see that result, focused mainly on software components, not on data transmission. What do you think?

Sorry for my English, the talks will be in Spanish.

Thank you!
#outline #talk
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  • Profile picture of the author savidge4
    Originally Posted by mciaffone View Post

    The first talk is about artificial intelligence and machine learning, what it is, and how important it is today in our lives and especially in marketing.

    At first, it would be a single classroom class of about two hours, to introduce the topic in an entertaining and accessible way. I have delineated it and I want to ask you to help me define the scope since I am not sure of the starting point and the depth to which the talk should reach.

    For example, will it be necessary to include a brief explanation of what an algorithm is? I refer to the basic concept of the program. Since the term will be used throughout the development of the topics.

    On the other hand, after introducing the types of Machine Learning, will it also be useful to review methods and algorithms that are used in each type, or is it to go into much detail?

    The goal is for students to understand what is the meaning of Artificial Intelligence, Deep Learning, Big Data, Chatbots, predictive searches, etc. at the conceptual level and serve as a starting point for those who want to delve into the subject. Also, generate a space where they can ask and remove all doubts.
    I think you have to define what an algorithm is - to understand AI - you have to understand its math. Do you go into breaking down some of the common Algorithms used? ( Linear Regression, Logistic Regression, K nearest neighbor, K means etc ) I might save that for discussion 2 on the topic.

    As an example if you understand the many Algorithms that are displayed on a google search page and how one works with the other I might chart that out as being something they could relate to IE local, shopping, ads, organic, rich snippets etc.

    Originally Posted by mciaffone View Post

    And finally, I also ask you about what the topic of the next talk could be.

    I was thinking of something like describing what goes on under the hood of a web page or a mobile application, referring to the different technologies that come together so that we see that result, focused mainly on software components, not on data transmission.
    If this is going to be a series of talks I might go into AI 2 where you get into what certain math algorithms do, and how they are used. And what it would look like.

    Talk 3, then get into the aspects of a web page that are used.. again using Google as the example.. title tags and rich snipets and description tags etc etc and how to incorporate these elements into a page.- keeping with the theme here that these are "Marketing people" so understanding the technology that effects their educated career path kinda makes sense.

    Hope that Helps!
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    • Profile picture of the author mciaffone
      Sure It helps !!

      I think I will keep the initial class very simple and then we will see if there is interest in deepening on the part of the students. Some may want to know more and others will be content to have only a superficial idea of the subject.

      Your suggestions for the following classes come in handy.

      Thank you for taking the time to answer.

      Martin.
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  • Profile picture of the author socialentry
    I would start by the theory and then focus on personal experience. If possible I'd take one example and see how they relate across domains (e.g. take an algo and compare how it can help prevent credit card fraud and then see how it can prevent customer churn).


    I wouldn't dumb down the material too much. In my experience, it's mostly the math notation that trips people, but properly explained a lot algorithms aren't that crazy complicated to understand at an intuitive level. Just stick closely to your geometric intuition.

    I'd also try to relate to what they already know from their classes. e.g.
    "Well, you learned in STAT 200 that blah blah blah, well this approach doesn't work when you have 7 kabillion variables and this is where machine learning comes in. Or rather here's what's different..."
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