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Argos Multilingual 7 min. read
From Raw to Ready: How Curated Data Transforms AI Performance

These days, multilingual data makes the world go round. Global enterprises are integrating AI into operations ranging from customer support to product development, employing AI-enabled tools to optimize content workflows and automate translation at scale. At this scale, the primary objective is predictable performance across languages and markets. While early experimentation often prioritizes model benchmarks […]

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Alexander Ulichnowski 5 min. read
The Infrastructure Play: Language Services and the Future of Enterprise AI

I’ve been in language services for 25 years. And the most interesting thing happening in this industry right now has very little to do with translation. For years, the language services industry has been described as if it were heading toward irrelevance – squeezed by automation, pressured on pricing, and overshadowed by AI. However, I see it differently. The industry is […]

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Argos Multilingual 12 min. read
Field Notes: The Governance Problem in AI Localization

Join Stephanie Harris-Yee and Erik Vogt for a deep dive into one of the most overlooked challenges in AI localization: governance. While large language models have dramatically improved translation quality and customization capabilities, many companies struggle to operationalize AI effectively. This conversation explores why governance frameworks are essential for successful AI deployment in localization workflows. […]

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