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Recently we discussed Why is it important to embrace content agility? and explained that the road to it itself is quite fast. But what to do after going this route? What’s the next step for a publisher after going digital?
Automation tooling. what is there
While publishers are using a growing number of digital tools (such as content management systems), few have implemented automation, which we believe is a missed opportunity as a logical, profitable next step. So let’s take a closer look at this form of technological innovation.
If you run a spell checker to make sure a document is correct, that would be a good example of an automation tool. Modern spellers use artificial intelligence models in the background to analyze the grammar and structure of text.
As a publisher, you’re probably familiar with several spelling examples, and everyone would agree that this type of automation has benefited publishing. But you might not realize that Artificial Intelligence (AI) is also being used to automate many other content-related processes. Examples include metadata tagging and text classification; relatively unknown ways to eliminate laborious manual tasks.
Integrated and easy to use
What’s more, text classifiers and metadata are as easily integrated into your digital workflow as the average modern spell checker. So why not do a reading analysis on your text? And while you’re at it, you might as well extract keywords. These options are available in familiar tools like Google Docs, and all you need to do is click a button.
Automating publisher processes with AI-powered tools
At EDIA, we continue to develop our AI-powered toolkit that automates publisher processes. Not only do we have the technology to do text analysis, but we can also integrate it into digital tools.
Curious to know what it looks like in practice? Get your free 3-day API trial.