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AI Localization Podcast Podcast transcript

AI in localization: What could possibly go wrong? (podcast)

In this episode of the Content Operations podcast, Sarah O’Keefe and Bill Swallow unpack the promise, pitfalls, and disruptive impact of AI on multilingual content. From pivot languages to content hygiene, they explore what’s next for language service providers and global enterprises alike.

Bill Swallow: I think it goes without saying that there’s going to be disruption again. Every single change, whether it’s in the localization industry or not, has resulted in some type of disruption. Something has changed. I’ll be blunt about it. In some cases, jobs were lost, jobs were replaced, new jobs were created. For LSPs, I think AI is going to, again, be another shift, the same that happened when machine translation came out. LSPs had to shift and pivot how they approach their bottom line with people. GenAI is going to take a lot of the heavy lifting off of the translators, for better or for worse, and it’s going to force a copy edit workflow. I think it’s really going to be a model where people are going to be training and cleaning up after AI.

Sarah O'Keefe
August 4, 2025
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Content operations Webinar

The Sky is Falling—But Your Content is Fine, featuring Jack Molisani

Every few years, a new publishing trend sends leadership into a frenzy:

  • “We need micro content for smartwatches!”
  • “Everything must go into chatbots!
  • “Get ready for VR and the Metaverse!”
  • “AI will replace our content team!”

Sound familiar?

In this episode of our Let’s Talk ContentOps webinar series, host Sarah O’Keefe and guest Jack Molisani explored how structured content will futureproof your content operations no matter what tech trends come along. Learn how to prepare content once and publish everywhere, from toasters to chatbots to jumbotrons and beyond.

Sarah O'Keefe
July 28, 2025
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Learning content Podcast Podcast transcript Structured content

Help or hype? AI in learning content

Is AI really ready to generate your training materials? In this episode, Sarah O’Keefe and Alan Pringle tackle the trends around AI in learning content. They explore where generative AI adds value—like creating assessments and streamlining translation—and where it falls short. If you’re exploring how AI can fit into your learning content strategy, this episode is for you.

Sarah O’Keefe: But what’s actually being said is AI will generate your presentation for you. If your presentation is so not new, if the information in it is so basic that generative AI can successfully generate your presentation for you, that implies to me that you don’t have anything interesting to say. So then, we get to this question of how do we use AI in learning content to make good choices, to make better learning content? How do we advance the cause?

Alan Pringle
July 21, 2025
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Webinar

How CompTIA rebuilt its content ecosystem for greater agility and efficiency (webinar)

After an acquisition, CompTIA faced the challenge of unifying multiple content systems, editorial teams, and delivery formats. To tackle this, they implemented a centralized, structured content model supported by a robust content management system. This webinar details how CompTIA overhauled its content operations from strategy through implementation without a pause in production.

Now we’re going to start seeing the true benefits of working in DITA, which is what I’m most excited about. We can maintain our content easily and focus on where things are changing versus converting, rearranging, or recopying content. I’m excited to see how our efficiencies gain as we move into our refresh cycle.

— Becky Mann

Bill Swallow
July 7, 2025
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AI Webinar

Ready, set, AI: How to futureproof your content, teams, and tech stack (webinar)

Your customers expect intelligent, AI-powered experiences. Is your content strategy ready for an AI-driven world? After a popular panel at ConVEx San Jose, the team at CIDM brought the conversation online in this webinar.

AI is going to require us to think about our content across the organization, across the silos, because at the end of the day, the AI overlord, the chatbot is out there slurping up all this information and regurgitating it. The chatbot doesn’t care that, for example, I work in group A, Marianne’s in group B, and Dipo’s in group C, and we don’t talk to each other. The chatbot, the world, the consumer, sees us all in the same company. If we’re all part of the same organization, why shouldn’t it be consistent?

— Sarah O’Keefe

Christine Cuellar
June 23, 2025
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Content strategy Podcast Podcast transcript

Tool or trap? Find the problem, then the platform

Tempted to jump straight to a new tool to solve your content problems? In this episode, Alan Pringle and Bill Swallow share real-world stories that show how premature solutioning without proper analysis can lead to costly misalignment, poor adoption, and missed opportunities for company-wide operational improvement.

Bill Swallow: On paper, it looked like a perfect solution. But everyone, including the people who greenlit the project, hated it. Absolutely hated it. Why? It was difficult to use, very slow, and very buggy. Sometimes it would crash and leave processes running, so you couldn’t relaunch it. There was no easy way to use it. So everyone bypassed using it at every opportunity.

Alan Pringle: It sounds to me like there was a bit of a fixation. This product checked all the boxes without actually doing any in-depth analysis of what was needed, much less actually thinking about what users needed and how that product could fill those needs.

Bill Swallow
June 2, 2025
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