Content leaders collective: When your documentation tools can’t keep up (webinar)
If your documentation team is patching together workarounds just to get content out the door, this webinar is for you.
If your documentation team is patching together workarounds just to get content out the door, this webinar is for you.
We’re revamping our LearningDITA courses to make them even more useful.
If you want to learn about DITA but aren’t sure where to start, this training is for you. And we need your help to make sure we got it right!
Update on August 14, 2026: Because of an overwhelming response, we are closing the invite period. Thanks so much!
Sarah O’Keefe: The working definition that I’m using is that digital sovereignty is control over your own digital assets, digital destiny. That could be you personally, it could be you as an organization, or it could be you as a country or as a group of nations. And when I say group of nations, probably 98% of the time I’m talking about the EU, which has some laws in this regard. Digital sovereignty is your ability to control, own, and manage your digital assets and how they are used, reused, processed, resold, repurposed, and all the rest of it.
In a plot twist that will surprise no one, Sarah O’Keefe and Carlos Evia are writing a book. It’s about AI. Please contain your astonishment.
In June of 2023, Sarah O’Keefe authored this white paper on AI in the content lifecycle. Three years later, here’s what’s changed and what’s still true about AI in the content lifecycle.
What happens when you feed years of messy content into AI? In this episode, Bill Swallow and Alan Pringle dig into the content debt crisis, including increased system costs, neglected localization, and the fallout of “just use AI” mandates. They share practical insights to help organizations get back on track.
Alan Pringle: Is your content updated? Does it reflect the latest information? Is it created for all the different locales that your company serves? Is it in different languages? That is another pile of debt that when you start looking at AI, all the problems will be very brutally magnified, and you’re going to have to address them to really have a large language model that works at all.
When we create content, whether it’s a blog post or an instructional guide, we think about our own requirements. What does the style guide say about how to word this phrase? What formatting do I apply here? But if we pull back and look at the other teams that we work with, there’s a broad spectrum of content needs which often don’t line up.
However, there are still opportunities to bridge between silos, and ways to allow different teams to play together.
Get industry-leading insights from Scriptorium at these upcoming events!
There are five levels of maturity for AI-driven content operations. Which level are you in? In this episode, Sarah O’Keefe and Bill Swallow walk through the AI content ops maturity model, from ad hoc experimentation to fully autonomous workflows.
Sarah O’Keefe: We want this automation, right? We want the ability to go in and extract release notes and do something with them. We have to have a certain level of maturity on the software development process so that we can grab the appropriate information. The same thing is true on the content side. You have to have a certain level of maturity in your content development processes, in your content management, so that you can identify the right things to process and the right things to access.
To a lot of people, the word “taxonomy” sounds intimidating. But what I want content professionals to know is that metadata doesn’t have to be painful. You don’t need to start with a blank page, and you don’t need to reinvent the wheel. The framework already exists, and it’s Dublin Core.