Localization in the Age of AI: Build engine behind multilingual growth.
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Beschrijving
Bol
There are two camps in the localization industry right now, and neither of them is particularly helpful.The first says AI will replace translators entirely. The second resists: brand voice disappears, cultural nuance evaporates, the industry is under threat. Neither camp is asking the right question.The question is not whether to use AI in localization. It is how to build a program that uses AI well.Localization in the Age of AI is a practical framework for doing that. It is built on research interviews with localization leaders at Atlassian, Canva, Slack, and Sinch - companies that have integrated AI into their workflows, made mistakes, learned from them, and arrived at approaches that work. Sinch increased content output by 300% with the same team. Slack reduced localization timelines from days to minutes. Neither result came from replacing people with AI. Both came from changing what those people spend their time on. The framework has four pillars: Strategy, People, Technology, and Process. In that order, for reasons the book explains. Most localization conversations start with technology. That is backwards. The programs getting this right invested in the foundations before they expected AI to perform.The AI tools available today are the least capable versions you will ever use. The programs that build the right foundations now will compound as the technology matures. This book is your blueprint to start building. This week.
There are two camps in the localization industry right now, and neither of them is particularly helpful.The first says AI will replace translators entirely. The second resists: brand voice disappears, cultural nuance evaporates, the industry is under threat. Neither camp is asking the right question.The question is not whether to use AI in localization. It is how to build a program that uses AI well.Localization in the Age of AI is a practical framework for doing that. It is built on research interviews with localization leaders at Atlassian, Canva, Slack, and Sinch - companies that have integrated AI into their workflows, made mistakes, learned from them, and arrived at approaches that work. Sinch increased content output by 300% with the same team. Slack reduced localization timelines from days to minutes. Neither result came from replacing people with AI. Both came from changing what those people spend their time on. The framework has four pillars: Strategy, People, Technology, and Process. In that order, for reasons the book explains. Most localization conversations start with technology. That is backwards. The programs getting this right invested in the foundations before they expected AI to perform.The AI tools available today are the least capable versions you will ever use. The programs that build the right foundations now will compound as the technology matures. This book is your blueprint to start building. This week.
AmazonPagina's: 265, Paperback, Independently published
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