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AI Localization

Balancing automation, accuracy, and authenticity: AI in localization

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

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AI Learning content Podcast Podcast transcript

From classrooms to clicks: the future of training content

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 exampleyou’re not going to learn how to do brain surgery that someone could rely on with AI or through a YouTube video.

— Kevin Siegel

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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.

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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

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