Denis asks, “What existing marketing processes or tasks do you expect AI to help speed up or eliminate?”
Some tasks will indeed be sped up. Others will be replaced entirely, and there’s a straightforward way to identify what will be replaced. Learn what tasks will and won’t be eliminated by AI. Watch the video for full details.
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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the video.
In today’s episode, Dennis asks, What existing marketing processes or tasks Do you expect
AI to help speed up or eliminate?
The answer to this question is maddeningly vague, get incredibly specific. And that is this anything that is repetitive,
artificial intelligence, machine learning, specifically with all of its categories, deep learning, reinforcement, learning, etc,
is really good at learning repetitive processes. So
anything that you do in marketing is a candidate for replacement by AI. If it’s a repetitive task, consider the process of, for example, scheduling social media posts, right? This is a very repetitive thing
at Trust Insights, we use code that I wrote to help with a lot of the analysis of what content to share the creation of the files to batch upload for the foundation, the framework of social posts, this is not does not handle the interactions, the engagement with people, but it does handle the the skeleton of hey, here’s some interesting stuff without you might find useful.
I have worked at other companies and other firms where there’s some poor person, usually the most entry level person who is copying and pasting between spreadsheets for clients or customers for their social media, which is a soul crushing job. And so that is 100% up for grabs for machines to take over. and rightfully so, it’s really not work that helps leverage the the true power of the human mind when we look at things like analytics. And reporting. Reporting is another candidate for Hey, if you done this job before, sure, have copy, copy, paste, copy, paste,
do some basic math and some spreadsheets and things that is all stuff that are candidates for
AI to either speed up or just eliminate entirely,
even things that you would think of as creative.
Alright, next, necessarily all that creative.
Another company I was at
the creative team was making advertisements for clients and the clients had very strict brand standards. These are the words and phrases you may use these words and phrases, you may not use these the images, you may use these the images you may not use, guess what all that meant that
highly paid graphic design staff were copy, paste, copy, paste, copy, paste the same text images with some variation terms of alignment, where you put the text on the picture of the image,
the client stuff, but at the same time, it’s like, it’s not
really that creative.
So your benchmarks for what AI can speed up or eliminate, or things that require no creativity, or very little creativity, things that are wrote that are mechanical in nature and things that are highly repetitive.
In fact, things that are really, really repetitive probably should have already been automated. If it’s exactly the same thing over and over again, you don’t need AI for that that’s robotic process automation. And frankly, you don’t even need RPM, you can just write some very simple scripts or if you’re on a Mac, give us a little automate or application. And that would do the job just as well,
where AI will benefit the acceleration of Process Automation is in dealing with some level of ambiguity. So it’s not exactly the same task each time, but it’s close. It’s it’s within a tolerances.
if if you’re writing an email newsletter, and the email newsletters content is 80%,
the same general stuff, you can have code do that for you. And maybe you do the one off introduction or the the CEOs perspective, or whatever the case may be.
But the bulk of it is still repetitive. If you are,
if you are summarizing blog posts.
Guess what? summarization. Text summarization is 100% automated why machine learning and in fact, is one of the best applications for it. If you were to add something I’m actually personally working on myself right now is building a summarization algorithm that can identify the most relevant pieces of text within a large piece of text and summarize it down to a sentence or two, because I want my newsletter to have more
depth to it. But at the same time, I don’t want to read all 500 articles that I scan each week. So how can I build an algorithm to do that and accommodate for the variations in language and topic, but at the same time, still deliver value to the reader.
So if you are summarizing documents, there is technology available on the market today that you can use
it all comes down to repetition. One of the things I say in
in my talks is, if you do it with a template today, a machine does it without you tomorrow. So if
you’ve ever googled for an Instagram template of Facebook template,
marketing, budget, template, strategy, template, marketing framework, inbound
strategy, or inbound template, guess what all of those things are things that you can 100% automate through machine learning. Because if it’s already in a structured cans, document,
it’s up for grabs the machines
can do it,
which leads to the flip side of the coin is what are the things that AI will not replace creativity, true creativity coming up with something net new out of whole cloth
is something that machines will not be doing for quite some time.
Anything dealing with human emotions in a tangible way.
And in an interactive way, as opposed to an analytical way is up
for grabs. So that means things like empathy and judgment machines are not real good at that.
And in particular, machines are really struggling to understand sarcasm. I saw a comment the other day
on a Facebook post, someone posted this political thing. And
one of the common does and I know this person and I know their political orientation commented This is great.
And they meant to exact that Tom This is great
machine has no other context to go on. The machine doesn’t know that person is actually being sarcastic and saying this is actually terrible.
There’s no emoji there’s no other context. And so
there’s still that broad awareness that general intelligence human general intelligence has that machines don’t have yet so empathy judgment, that general life experience and in many ways that human human connection is still not something that we’re going to automate the exception being as something I’ve said, often
if your customer experience is so terrible, so awful, that
completely automated soulless response would be an improvement. And yes, that’s a candidate for replacement. But I would argue that if your customer experiences that bad, your entire company is accounted for replacement by by a competitor, with the exception being placed where there is no competition, such as the Department of Motor Vehicles,
boy, would we all love to automate that.
that’s what AI will speed up and eliminate, it will eliminate terrible customer service by setting a minimum bar of competencies say this is
this was guaranteed mediocrity, you’ll have a guaranteed mediocre interaction with
a chat bot. But if that’s better than the terrible experience, everybody’s happier
there’s so much more to dig into. So check on the videos that we just put I just put up on strat AI strategy and things like that as well. And be sure to check out the fuse digital conference as well. Sure I’ll be speaking about this topic later this year. As always, please subscribe to the YouTube channel and the newsletter and I’ll talk to you soon. Take care
if you want help with your company’s data and analytics. Visit Trust Insights calm today and let us know how we can help you
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