Discussing Stupid: Monkey Byte 1: AI & Machine Learning

Discussing Stupid: Monkey Byte 1: AI & Machine Learning
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By High Monkey, Our random thoughts collected

Categories: Learn

Join Virgil, in his first 'MonkeyByte', as he dives a bit deeper into the concept of machine learning and discusses how it can be used and how it can be helpful and hurtful to your customer experiences.


Narrator: [00:00:00] Note this podcast does not discuss nor endorse the idea of discussing stupid ideas because we all know there are no stupid ideas. Hello and welcome to discussing stupid the podcast where we will tackle everything digitally stupid from stupid users and the crazy things they do to stupid practices and the people who use them we will explore stupid things we all do and maybe even come up with a few ideas on how to do things better. And now that I got your attention let's start discussing stupid

Virgil: [00:00:42] Hi everybody and welcome to my first monkeybyte episode. As I said before Monkeybyte are really about me taking about five minutes and just kind of deep diving into maybe something additional from the topic that we just covered in more of the discussion format. So today I thought I'd kind to continue on from the A.I. discussion that happened in episode 1 and kind of talk a little bit more about machine learning.

Virgil: [00:01:09] What is machine learning? well machine learning is really exactly what it sounds. It's Basically you know these systems learning from what we do, how we do it kind of the information that goes along with it and doing something from that. Machine learning every single day is becoming such a bigger part of our lives and it's becoming such a significant part of how we interact especially with the digital world. You really can think of kind of some of the foundations of machine learning some good examples would be like predictive text. We've had predictive text for a really long time though it continues to improve and it's nowadays when you're using them on your Android phone, your iPhone and that kind of stuff. You're really seeing a lot more information that comes across because the system is actually trying to understand how you're doing things. Other great examples are you know Siri, Alexa, Cortana, Hey Google all those kind of things. Even some of the other areas like Google Maps, Google Maps uses a lot of artificial intelligence and and kind of machine learning to kind of understand how to build its paths and that you even see it in your Facebook feeds and friend recommendations which you know frankly a lot of people have complained about these days. But you know overall it's using algorithms and understanding the kind of who you want to look at information from. You also use this a lot in your own business and you may not know it. If you do any type of marketing automation, marketing automation is always using some kind of machine learning. Sometimes you have to program in that machine learning so you have to help it understand that if somebody is looking at this page you wante it to do this. Or with personalized content maybe you have it that you're showing this type of content to this people in this state versus this type of content to these people in this state there's really a lot of different options from that. But probably the most classic example when you think about business and something that's been around for a really long time is product recommendations. You know product recommendations from companies like Amazon or even if you have your own website e-commerce related stuff you get those that when you buy something you know look at something else. Why should you care about this. Well first it can help you understand large amounts of data and the reality is we're just inundated with the data that comes out from our analytics and all our different sources and that can help you kind of identify those customer patterns and understand maybe what you just would never have the time or ability to do it.

Virgil: [00:03:36] It can kind of help you out when you can't. So some of the things that you see a lot is like the chat bots that happen out there where it gives you some kind of just in time response to a question maybe on your website or or some type of feedback to an employee who's struggling with something. It can also use intelligence there's a lot of systems out there that can alert you to your brand trends and issues on social media. So actually kind of monitor your social media accounts and when you know maybe there are certain tags or certain activities that are happening that you could be alerted from. What should you really be concerned about from using something like machine learning. Well it can be easily too much information and you can do too much of it and really decrease that customer interaction and I think that to me is my big point from that is that, you can really kind of lose that customer interaction side of things by relying too much on the technology and having it too automated.

Virgil: [00:04:32] The reality is there's no way around this. It takes a lot of time and it takes a lot of money to make it work well. Yeah you can buy these systems but overall to really make it effective you have to put the time and effort into it. So where should you start with something like this. Well the first thing I'd say is find that main digital pain point that you have and look at where machine learning can help. So maybe it's that you're not responsive enough back to your customers. Maybe it's something that you need to work on from a customer service standpoint or maybe it's just something that you need to better understand what your customers are doing on your website or around your digital world and explore your existing tools and kind of find out what features you have not tried. A lot of times there's features built into our content management systems. There's features built into some of the marketing automation systems we have. There's things that you probably can leverage and utilize right away but overall machine learning can be a very valuable and integral part of your process and can really help you do some really cool things but you need to kind of take it in stride and understand what you're doing and make sure that utilizing it in a way that is can the most help you.