Watch this practical conversation on continuous localization in the age of AI. Our panel covers what the transition looks like, where teams run into trouble, and how to build a pipeline that holds up at speed.

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In this session, we unpack:

• What continuous localization actually means: Cut through the jargon. It isn't about doing localization faster. It's about working closer to the source content, with enough trust in the process that you don't need to recheck every string.
• How AI fits into a continuous pipeline: See how a real team runs AI first and linguists second on a weekly release cycle, and why the process needs a feedback loop to keep improving. Plus, where human expertise still matters most.
• What CI/CD integration really takes: Hear what it takes to connect repositories, design tools like Figma, and content systems so localization runs in the flow of work, including for teams outside engineering like marketing and legal.
• How to make the case internally: Get practical ways to win buy-in, from starting with one low-risk content type to showing how you can cover more languages and content in less time.
• Mistakes to avoid: Learn why treating AI as a shortcut around process, going all in at once, or letting your translation memory and glossary go stale can derail a pipeline.
• How to measure success beyond speed: Start with business outcomes like engagement and growth, then layer in linguistic quality, so you know whether localization is actually working.
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Who should watch

• Localization managers
• Product and engineering leaders
• Marketing and content leaders

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Meet your speakers

• Joaquín Muñoz - Localization Manager, Life360
  Joaquín is the localization manager at Life360. He manages localization across a global family safety platform. He's known for bridging the gap between engineering, marketing, and product, making localization a partner in growth, not just delivery.
• Jesús Olmeda - Principal Product Manager, Lokalise
  Jesús is a Principal Product Manager at Lokalise, the leading AI localization platform trusted by thousands of teams worldwide to automate and scale their translation workflows. With over 15 years of experience building B2B and B2C products across SaaS companies, including Hotjar, Contentsquare and Wallbox, he sits at the intersection of product strategy, localization technology, and go-to-market, working closely with engineering, design, and sales to turn complex localization challenges into scalable solutions.
• Andrew Thomas - VP Marketing, Acclaro
  Andrew is the VP Marketing at Acclaro, where he leads global marketing strategy at the intersection of localization, AI, and enterprise growth. His career reflects the evolution of language technology from traditional localization workflows to AI-powered content ecosystems that drive scalable, intent-led demand across international markets.