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As brands expand across regions, platforms, and formats, the challenge isn\u2019t just translation \u2014 it\u2019s tuning<\/em>. How do you scale content globally without flattening tone, losing cultural nuance, or breaking brand trust?<\/p>\n\n\n\n In this episode of AI: Machine-Made Marketing<\/strong>, we\u2019re joined by Jason Hemingway<\/strong>, CMO at Phrase<\/strong><\/a>, to explore how AI-powered language technology is reshaping the way brands create, localize, and personalize content at scale.<\/p>\n\n\n\n Jason breaks down the shift from manual, slow, human-only workflows to intelligent automation that blends machine translation, quality scoring, and human oversight. We discuss when AI should lead, when humans must stay in the loop, and how \u201ctuning\u201d content \u2014 not just translating it \u2014 helps brands protect voice, accelerate go-to-market timelines, and unlock real performance gains across global audiences.<\/p>\n\n\n\n If you\u2019re a marketing leader navigating global growth, brand consistency, and creative pressure, this conversation offers a practical roadmap for using AI where it truly adds value \u2014 and avoiding it where it doesn\u2019t.<\/p>\n\n\n\n
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