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cover of episode EP 203: Translation in the World of AI - Will we have a job tomorrow?

EP 203: Translation in the World of AI - Will we have a job tomorrow?

2024/2/8
logo of podcast Everyday AI Podcast – An AI and ChatGPT Podcast

Everyday AI Podcast – An AI and ChatGPT Podcast

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If you want your company to compete on a global stage, you need to be able to speak to global customers. It's something that we may overlook but there's a whole industry dedicated to translation. Olga Beregovaya, VP of AI at Smartling, joins us to discuss how AI is changing the translation space and its effects on related jobs.

Newsletter: Sign up for our free daily newsletter)More on this Episode: Episode page)**Join the discussion: **Ask Jordan and Olga questions on AI and translation)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Timestamps:**02:00 Daily AI news04:25 About Olga and Smartling06:57 Translating content globally involves technology and linguists.12:54 Large language models successfully deployed for multiple applications.14:32 LLMs and machine translation have pros and cons.19:45 Rapid changes in translation industry due to AI.22:16 Ethical considerations in translation demand heightened vigilance.23:38 Ensure ethical AI deployment through training data.29:45 AI in language used for production and vetting.**Topics Covered in This Episode:1. Role of AI in Translation2. Large Language Models in Translation3. Change of Jobs in the Translation Industry4.  Ethical Deployment of AIKeywords:**AI in translation, job opportunities, democratizing translation, insufficient training data, reskilling, personalized language learning, learning disabilities, vetting language accuracy, Smartling, global communication, multilingual capabilities, large language models, generative AI, machine translation, fluency, idioms, metaphors, context, subject matter expertise, fact-checking, validation, project management, data analysis, ethical AI deployment, language bias, prompt engineering, strong language skills.