As a purveyor of high-stakes technical content, I am watching the rise of AI with alarm. Our interest in automation and new technologies is on a collision course with our mandate to deliver timely, accurate information. I am not the only one who is concerned; many people are writing on this topic. (Here’s a recent post from Michael Iantosca.)
How can global brands use AI in localization without losing accuracy, cultural nuance, and brand integrity? In this podcast, host Bill Swallow and guest Steve Maule explore the opportunities, risks, and evolving roles that AI brings to the localization process.
The most common workflow shift in translation is to start with AI output, then have a human being review some or all of that output. It’s rare that enterprise-level companies want a fully human translation. However, one of the concerns that a lot of enterprises have about using AI is security and confidentiality. We have some customers where it’s written in our contract that we must not use AI as part of the translation process. Now, that could be for specific content types only, but they don’t want to risk personal data being leaked. In general, though, the default service now for what I’d call regular common translation is post editing or human review of AI content. The biggest change is that’s really become the norm.
—Steve Maule, VP of Global Sales at Acclaro
At LavaCon 2025, we investigated the impossible dream of customer content, uncovered the potential of structured learning content, and shared solutions to make sure your content doesn’t sleep with the fishes—or the whale sharks.
AI, self-paced courses, and shifting demand for instructor-led classes—what’s next for the future of training content? In this podcast, Sarah O’Keefe and Kevin Siegel unpack the challenges, opportunities, and what it takes to adapt.
There’s probably a training company out there that’d be happy to teach me how to use WordPress. I didn’t have the time, I didn’t have the resources, nothing. So I just did it on my own. That’s one example of how you can use AI to replace some training. And when I don’t know how to do something these days, I go right to YouTube and look for a video to teach me how to do it. But given that, there are some industries where you can’t get away with that. Healthcare is an example—you’re not going to learn how to do brain surgery that someone could rely on with AI or through a YouTube video.
— Kevin Siegel
The second most common question we get about DITA-based systems is “How do we publish nice-looking PDFs?” (First, by far, is “How do we migrate our content into DITA?”)
What if you could escape copy-and-paste and build dynamic learning experiences at scale? In this podcast, host Sarah O’Keefe and guest Mike Buoy explore the benefits of structured learning content. They share how organizations can break down silos between techcomm and learning content, deliver content across channels, and support personalized learning experiences at scale.
The good thing about structured authoring is that you have a structure. If this is the concept that we need to talk about and discuss, here’s all the background information that goes with it. With that structure comes consistency, and with that consistency, you have more of your information and knowledge documented so that it can then be distributed and repackaged in different ways. If all you have is a PowerPoint, you can’t give somebody a PowerPoint in the middle of an oil change and say, “Here’s the bare minimum you need,” when I need to know, “Okay, what do I do if I’ve cross-threaded my oil drain bolt?” That’s probably not in the PowerPoint. That could be an instructor story that’s going to be told if you have a good instructor who’s been down that really rocky road, but again, a consistent structure is going to set you up so that you have robust base content.
— Mike Buoy
Teams are under pressure to do more—more formats, languages, publishing outputs, and audiences. After an acquisition, CompTIA faced fragmented systems, manual processes, and time-consuming formatting. In this webinar, see how CompTIA used structured learning content operations to scale globally and meet evolving delivery demands.
Now, we have a central content ecosystem where everything connects into one spot—our CCMS—where we can actually publish in many different ways. We can do our translations very seamlessly now with our translation memory service linked in. We can publish directly to our LMS record, and we can also deploy PDFs. There’s some other little things that we’ve developed over the years. For example, we map our content to the exam objectives for our certifications. That was always a very manual process. It is now automated, which is amazing.
— Becky Mann
CompTIA plays a pivotal role in the global technical ecosystem. As the largest vendor-neutral training and credentialing organization for technology professionals, CompTIA creates career-advancing opportunities across a wide range of disciplines—cybersecurity, infrastructure, data, and more.
With the support of Scriptorium and other partners, CompTIA consolidated fragmented workflows into a unified ecosystem for structured learning content. The transformation has improved production efficiency and allows CompTIA to deliver global content without pausing ongoing content production. Additionally, it allows instructional designers to invest in compelling learning experiences instead of spending their time manually formatting content.
Back-to-school season is the perfect time to sharpen your DITA skills. Plus, we’ve updated LearningDITA to optimize your training experience!
Ready to maximize your publishing opportunities? Learn how to customize the DITA-OT in our new course.
