- Computer vision is how an application
ingests and analyzes a photograph, a graphic,
or some other visual input and it really translates that
into numerical output.
This way the application can make predictions
about that graphic.
For example, if you have a website that accepts
user submitted content, you might wanna make sure
that that content is appropriate before posting it up.
Coca Cola used this technology
to celebrate the brand's 100th birthday.
Users were invited to upload an image of themselves
and a Coke bottle and the website would translate that
into a prediction on their age and a prediction
on the bottle's age as well.
It was a fun way to personalize the experience and in turn,
the company received 380 million image submittals
in the first week alone.
Now that's good marketing.
So how else could you use computer vision driven
by machine learning in your marketing campaigns?
One very straight forward way that you could use
computer vision would be in the analysis
of customer advocacy.
Often pictures are shared on Instagram and Pinterest
and other social media platforms without fully descriptive
captions or metadata.
So there may be lots of information about how your customers
view your brand.
And this approach could help you to decipher it.
Let me give you an example.
If a customer loves M&Ms and posts pictures of M&Ms,
they might describe those pictures as,
"Hey, I love this candy.", instead of,
"Hey, I love these M&Ms."
So tuning into this customer's love for your brand
might be an arduous time consuming thing to have
to accomplish without being aided by computer vision.
It's important to know what customers are saying
even if they're only saying it through pictures.