ABOUT THIS PODCAST 🔗
AI and Localization in Progress. Things are changing fast for people in the localization world. This podcast from features short 15-minute conversations with industry thought leaders to keep you up to date on the latest innovations, experiments, and challenges.
Powered by Argos Multilingual
Hosts:
Update frequency:
every 5 days
Average audio length:
12 minutes
Guest interviews
Has sponsors
English
United States
17 episodes
since May 14, 2026
episodic
LATEST EPISODE 🔗
Localization can quietly own the global customer experience while still feeling powerless when priorities shift. We’re expected to deliver a high-quality multilingual experience across acquisition, conversion, onboarding, retention, and expansion, yet the real levers often sit with different leader…
PREVIOUS EPISODES 🔗
I sit down with Augstin Da Fieno Delucci, co-founder of Trilogica Global and former Director of Global Data and AI at Microsoft, to unpack a shift that changes how global teams should think about AI: treating context as a system, not a prompt.We’ve all gotten better at generation, better models, be…
Your translation management system might not be failing, but it can still be quietly throttling your localization program. Stephanie and Giulia Greco unpack why many client-side localization professionals feel stuck right now: TMS platforms that looked “end to end” in the sales cycle start showing …
Translation is no longer a single lane that runs through one department. We are watching localization spread into marketing stacks, product releases, support tools, and AI features like chatbots, sometimes without any coordination at all. That shift can feel empowering and fast, but it also creates…
Someone on your team ships a translated page overnight, looks like a hero, and nobody filed a localization request. Then you stumble on the copy later and think, “Did we do this?” That moment has a name: shadow localization. We dig into why it shows up even in mature programs, why AI and machine tr…
AI has made translation dramatically cheaper, yet a lot of localization leaders still feel like budgets are tightening and quality pressure is rising at the same time. We dig into why that paradox is real and how it shows up inside modern localization programs. The key is recognizing two different …
AI translation has never looked better on the surface, yet plenty of teams still can’t make it work reliably in production. We dig into the uncomfortable reason: large language models are probabilistic systems, so the failure modes shift from obvious “bad machine translation” to believable, fluent …
Translation is getting faster every month, yet localization risk keeps rising. That’s not a paradox, it’s a signal that the bottleneck has moved. Stephanie from Argos sits down with Erik, an independent advisor at Vogt Strategy, to name the real constraint most enterprise teams are feeling: subject…
“Quality” in translation sounds like a simple promise until you ask one uncomfortable question: what happens if it’s wrong? Stephanie and Erik unpack why so many localization pricing conversations get stuck on a single, vague standard, and how that confusion leads teams to either overbuy heavy work…
Metadata sounds like the boring part of localization until you realize it can be the difference between a scalable operation and a constant fire drill. We get specific about what’s at stake when a major share of a multi-billion-dollar industry goes to coordination, project management overhead, and …
Disclaimer: The podcast and artwork embedded on this page are from Stephanie Harris-Yee, Argos Multilingual, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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