What Do Marketers Need to Know About Deep Learning?
Do marketers need to know what Deep Learning is?
Well, yes. Eventually.
Deep Learning is an approach to Artificial Intelligence. You take computer networks, and feed them questions and answers, like you would a partner in a logic class. If A equals B, and B equals C, then A also equals C.
Now think about the large-scale data a marketer could use. For instance, all the times the word “happy” is used on Twitter in one day. Or temperature variations across all earth latitudes. Or how many variations of yellow can paint makers make? Or how many species of fish are considered popular in the African market?
What else can be found via Deep Learning? You may want to figure out how to quantify joy on social media. Or where to market gloves based on global warming tends. Or what the exact color your product is perceived to be in the U.S. as opposed to Europe. Or where you can market fish caught in the North Atlantic. Those answers are actually available now, in minute forms of data gathered from many locations and in many formats. And when you have machines learning this data and they can find other kinds of data to match up what they already have for predictable results, then you have Deep Learning.
“Essentially Deep Learning involves feeding a computer system a lot of data, which it can use to make decisions about other data,” Forbes explains.
What the marketer needs to know is that Deep Learning is the future for information marketers will need. And there are tools to automate Deep Learning that are available today.
Many of the following are open-source tools that other developers are building upon for tomorrow. But you can shape your marketing strategy today around what tomorrow’s questions can be.