Mbeiza asks, “Merging Liberal arts with science helps make what one has to offer unique. How can I merge the liberal arts with what I want to do in order to have a unique skill or product to offer?”
Fundamentally, a successful marketer has to be both qualitative and quantitative – the ability to be half art, half science. The first step is to determine where you’re weakest. How well do you know things like anthropology and ethnography? Music, art, literature -all the different ways we communicate with each other? Psychology, sociology, etc. You’ll find in each domain there are qualitative concepts to explore and quantitative concepts as well.
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
- Got a question for You Ask, I’ll Answer? Submit it here!
- Subscribe to my weekly newsletter for more useful marketing tips.
- Find older episodes of You Ask, I Answer on my YouTube channel.
- Need help with your company’s data and analytics? Let me know!
- Join my free Slack group for marketers interested in analytics!
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 and bays asks, merging liberal arts with science helps make what one has to offer unique How can I merge the liberal arts with what I wanted to do in order to have a unique skill or product offer.
So fundamentally successful marketer has to be both qualitative and quantitative, that is half art, half science, there really is no way to be successful going forward, that it’s something that’s too narrowly specialized unless you are literally no one of the top 1% in that specialization.
And the reason for that is that artificial intelligence continues to make such substantial strides that within the span of our lifetimes, many individual tasks will be turned over to machines to do Now that doesn’t necessarily mean that we are going away per se, but it means that we will need fewer, far fewer of us.
In order to get work done.
I’ve often said be like being a conductor of the orchestra.
Rather than being the first violin challenges.
Of course, you only need one conductor in the orchestra.
Whereas you have lots and lots of musicians.
But if all musicians are performing narrow specializations, like violin or clarinet or whatever, then you don’t really need people for those other roles.
So to be a successful marketer going forward to plan well for the future, and quite frankly, to be well structured for whatever challenges come your way.
I really do believe that, that liberal arts education, that broad spectrum of knowledge is important and yes, you will find not every subjects exciting.
Certainly, that was my experience, but you have to be half hearted Half science, creative and quantitative, rigorous, but also able to, to vary outside the rules when you need to.
And the first step to making that determination is figure out what your weakest.
Where are your vulnerabilities.
Think about what marketing and business to a greater or lesser degree fundamentally is.
It’s about communication, right? It’s about communication people, which means that we need to understand people, we need to understand communication.
So that means subjects like anthropology and ethnography, being able to understand how people interact with each other.
And sort of the history of their ability to do that.
That means understanding psychology and sociology.
Again, individual behaviors group behaviors.
That means understanding communications methods, visual auditory kinesthetic, so music, art, literature, dance, not necessarily doing those things.
Although it certainly doesn’t hurt, but at the very least understanding what those things are and how they’ve evolved, especially in a global economy, one of the challenges that a lot of students will face is that their learning materials tend to be skewed towards a certain point of view.
This is especially true in the United States where everything is overly centered, centered on the United States and kind of ignores the rest of the world is why 11% of students in America can’t find America on a map.
So music, art, literature, dance, all the different ways you can communicate with people visually, auditorily kinesthetically to convey messages to them.
And then absolutely, I’m hard sciences.
You’re talking about statistics and probability, mathematics all the way up through things like linear algebra, and advanced calculus.
You’re talking about the scientific method to some degree, understanding things.
Like biology and chemistry and physics actually do have relevance to marketing, to understanding why things happen the way they do, especially when you start to get into really complex subjects.
Like why like how machine learning works, machine learning and AI, coding, being able to write in Python are being able to use databases.
Marketing is essentially how to interact with the human race.
And so everything that is in the human experience is something that you can study and it will have value for understanding certain groups of people.
I wouldn’t be so worried about a product to offer.
And at this point, I would not be terribly concerned about having a specific unique skill to develop.
What you want to be able to do is have a broad base of knowledge to draw from that you can bring to a variety of situations that will really help you Form problems that you’re asked helps off and be extremely versatile.
So whatever the challenge is, you have some level of competency that can make the challenge a little bit less daunting.
That’s why things like you know, technical skills, being able to write code, but being able to interact with something like music, together are much more difficult for machines to copy.
AI is very bad at broad knowledge.
AI is very good at narrow domains.
If you can have that broad knowledge that lets you develop multidisciplinary domain expertise.
It’s very hard for machine to copy.
It’s very hard for machines to create because most people are not that way.
And because we train machines on past existing data, if you can create things that are net new that are not part of the machines previous corpus of learning We’re not in a substantial enough way.
You can add value the machines simply cannot.
So that’s a lot to tackle.
Again, figuring out where you’re weak, where you’re weakest as a, as a learned person is the first step.
What are all the things that you could study? What are the things that are likely to be important? And I forgot to mention in there One other area that’s really important, particularly if you are in marketing is the ability to study business, right? Everything from operations to management to finance, I can’t tell you how many marketers I’ve met who have absolutely no idea how to compute ROI, how to compute, net profit, things like that.
So those basics are super important as well and are definitely lacking.
So where are you weakest and where were you also strongest, whether the areas that are so appealing to you that if you could just do those things or study those things deeply.
How can you bring other disciplines into those areas of study, for example, I’ve spent a lot of time on analytics.
I spent a lot of time on an in data science, but I also spent a fair amount of time doing natural language processing.
So understanding literature and styles and writing and all these things is important to being able to do that well, not necessarily just to be able to write the code, but also to know what to look for, to know to be able to judge the merits of something based on the outputs it gives, working on a piece of code that deals within stylometry, which is the measurement of writing styles.
And if you didn’t know anything about how, you know, different authors have different styles and you weren’t able to have that knowledge base, then when the machine spits out results, there’s no way of knowing whether it did a good job or not.
But if you have some level of domain expertise in that, you can you can fact check the machines.
So that’s a lot to tackle.
Again, start with the evaluation.
Figure out where your weakest wins and then double down on what you’re strong at and mitigate where you weakest.
If you have follow up questions, leave them in the comments box below.
Subscribe to the YouTube channel on the newsletter, we’ll talk to you soon take care want help solving your company’s data analytics and digital marketing problems? This is Trust insights.ai today and let us know how we can help you
You might also enjoy:
- How to Measure the Marketing Impact of Public Speaking
- Transformer les personnes, les processus et la technologie - Christopher S. Penn - Conférencier principal sur la science des données marketing
- Marketing Data Science: Introduction to Data Blending
- Best Practices for Public Speaking Pages
- How To Set Your Consulting Billing Rates and Fees
Want to read more like this from Christopher Penn? Get updates here:
Get your copy of AI For Marketers