What does this mean for Digital Marketers?

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Perhaps many of you haven't realized it yet, but if you're dedicated to digital marketing, you're probably using artificial intelligence in your daily work. And it's not just those of you who work for large multinationals that have powerful personalization software. Many SMEs are already benefiting (or will soon) from the significant advantages that technology brings to make our digital marketing efforts more effective.
And this is just the beginning: According to data from a survey published in Marketing Directo, 85% of creatives believe that AI (artificial intelligence) will be the output with the greatest impact on agencies. Artificial intelligence can help us with three key factors: improving productivity, understanding the consumer, and improving the digital customer experience.
The ability to analyze social media conversations and combine first-party data with third-party data has enabled improvements in segment identification, buyer persona development, and decision journey mapping . Artificial intelligence even makes it panama mobile database possible to simplify, improve, or eliminate purchasing barriers. All of this is music to the ears of digital marketers, who spend hours analyzing buyer personas with the (limited) data they usually have available to ensure their messages resonate with them.
But before we go any further, let's clarify what we mean by artificial intelligence.

What is artificial intelligence?
Artificial intelligence is the study of how to make machines intelligent, or capable of solving problems like humans. Machine learning is, in short, a new way of creating these problem-solving systems. For decades, programmers have hand-coded computer programs to provide automatic responses to certain inputs. With machine learning , we teach computers to learn without having to program them with restrictive rules. This is achieved by showing the system a number of examples until it finally begins to see a pattern and learns from them.
As the VP of Google explained in an interview, to manage Google Photos, they use this method: they teach the system, for example, to recognize the difference between a cat and a dog by showing it several labeled images of cats and dogs. The system then looks at patterns and pixels and begins to guess which is which. Eventually, it learns to recognize the difference between cats and dogs.

How we apply artificial intelligence in marketing
As we mentioned before, there are thousands of ways we use artificial intelligence without even realizing it. Here we list some of the current uses of artificial intelligence and others that are yet to come or are in beta:

A large part of the opportunity lies in how artificial intelligence can help us achieve complete personalization and relevance in our communications at scale. With platforms like YouTube reaching thousands of users daily, digital advertising platforms can finally reach a mass audience like never before.
This, combined with the ad personalization enabled by AI, means we'll soon be able to create campaigns that show the best possible version of the ad to each type of customer at the precise moment they're most likely to make a purchase.
We're at a point where interactions between campaigns and buyers can be relevant from start to finish. From planning creative messages for each segment, to media selection, to the shopping experience.
We'll have so much customer data that we'll not only know what color or material their shirts prefer, but we'll also know how many purchases they've made this month, what their home looks like, and even the weather at the time they see the ad. And all this personalization will be implemented, in real time, for every person our brand comes into contact with.