We are just at the start of tapping into artificial intelligence (AI) for marketing, but there are already a number of great ways that this technology is improving our jobs, not killing them. AI, in fact, has the potential to do the jobs we don’t want and the jobs we can’t do, and to ultimately help us do the jobs we already do, better. The first obvious application of artificial intelligence is to automate the tasks that we humans don’t want to do -- those repetitive, low- skill tasks. A great example is the cataloguing of marketing data to be used for analysis. Say, for example, that you wanted to write a unique blog article on the topic of “video marketing.” In order to figure out a unique angle for your article, you may want to catalogue all of the existing content on the topic of “video marketing” and even categorize each article by website, author and share metrics. Where AI shines is that it can do such repetitive tasks -- but at scale. Imagine that, in the same time frame, a junior marketer could catalogue 100 “video marketing” articles while a machine could catalogue more than 1,000 articles on the same topic, along with 1,000 articles each for 100 more topics. AI is doing the jobs we can’t do. It’s AI’s ability to tag and compare many data points that ultimately produce the marketing takeaway. By delegating work to AI-driven technologies, marketers can improve their work by creating content they know will stand out, by implementing conversion-optimization strategies observed from competitors’ sites and enabling sales using the latest competitor pricing.
AI is doing the jobs we don’t want to do and the jobs we can’t do, and improving the jobs we already do.
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How many times in the last year have you heard the question, “Is artificial intelligence going to take over our jobs?” For marketers, this question is just as relevant, but I’m here to tell you that robots are our marketing friends.
We are just at the start of tapping into artificial intelligence (AI) for marketing, but there are already a number of great ways that this technology is improving our jobs, not killing them.
AI, in fact, has the potential to do the jobs we don’t want and the jobs we can’t do, and to ultimately help us do the jobs we already do, better. Here’s more on each prediction:
AI is doing the jobs we don’t want to do.
The first obvious application of artificial intelligence is to automate the tasks that we humans don’t want to do — those repetitive, low- skill tasks. AI can be easily programmed to do such work and do it faster, more cheaply and more reliably. A great example is the cataloguing of marketing data to be used for analysis.
Say, for example, that you wanted to write a unique blog article on the topic of “video marketing.” In order to figure out a unique angle for your article, you may want to catalogue all of the existing content on the topic of “video marketing” and even categorize each article by website, author and share metrics. This could be a very manual process for a human and something that would invite human error into the process.
Where AI shines is that it can do such repetitive tasks — but at scale. Imagine that, in the same time frame, a junior marketer could catalogue 100 “video marketing” articles while…
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