After digitalisation comes automation: the publisher's best next step

Recently, we've discussed why embracing content agility is key and explained that the road towards it is rather agile in itself. But what to do once you've gone down this road? What is the publisher's next step after digitalisation?

Automation tooling: what’s out there?

Even though publishers use an increasing number of digital tools (such as content management systems), few have implemented automation — which we believe is a missed opportunity, as it's a logical, beneficial next step. So, let's have a closer look at this form of technological innovation.

If you run a spellchecker to make sure a document is flawless, that would be a nice example of an automation tool. Modern spellcheckers use AI models in the background to analyse the grammar and structure of a text.

As a publisher, you’re probably familiar with several spellchecker examples, and everyone will agree that this type of automation has been beneficial to publishing. But you might not realise Artificial Intelligence (AI) is used to automate many other content-related processes, too. Examples include metadata tagging and text classification — relatively unknown ways to eliminate laborious manual tasks.

Integrated and easy to use

Moreover, text classifiers and metadata are just as easy to integrate into your digital workflow as the average modern day spellchecker. So, why not run a readability analysis on your text? And while you’re at it, you might as well extract keywords. These options are available in familiar tools such as Google Docs, and all it takes to use them is a press of the button.

Automating publishers' processes with AI-based tooling

At EDIA, we continue to develop our AI-based tooling that automates publishers' processes. Not only do we have the technology to perform text analyses, but we can also integrate it into digital tools turnkey.

Curious to know what that looks like in practice? Get your free 3-day API trial!