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Showing posts with the label artificialintelligence

Meet the Future of Language AI: 2025’s Top 50 Innovators Under 50

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  The Language AI Revolution is Here In a world where artificial intelligence is redefining how we communicate, Language AI has emerged as one of the most transformative technologies of our time. From real-time translation to sentiment analysis, these innovations are powering global businesses, governments, and even humanitarian aid. One of the most exciting updates in this space comes from Slator’s 2025 Language AI 50 Under 50 list—a powerful showcase of the world’s brightest and boldest minds reshaping how humans and machines understand each other. What is Slator’s 50 Under 50 List? A Global Recognition of Talent The Slator Language AI 50 Under 50 list highlights professionals, researchers, and entrepreneurs under the age of 50 who are making significant strides in the language AI space. These include innovators from translation technology, generative AI, speech recognition, NLP, and more. What sets this list apart is its diverse representation of industries—from academ...

SlatorCon Remote March 2025 Offers Essential Insights on the Language Industry and AI

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  A Pinch, a Twitch , and Everything in Between: Pinch’s Christian Safka and Twitch’s Susan Maria Howard were among the top language industry leaders who joined hundreds of attendees on March 18, 2025, for the first SlatorCon Remote conference of the year. Kicking off the day’s events, Slator’s Head of Advisory , Esther Bond, welcomed attendees and invited Managing Director Florian Faes to share the latest findings and insights in his highly anticipated 'industry health check. In his presentation, Faes began by reflecting on the challenges of 2024. He discussed data from Slator’s 2025 Language Service Provider Index (LSPI) and highlighted the growth of interpreting-focused companies, contrasted with the struggles faced by small, undifferentiated agencies and the rapid rise of language AI, driven by companies like ElevenLabs and DeepL . Faes also highlighted key findings from Slator’s 2025 Localization Buyer Survey , including the challenges buyers face in implementing AI and the ...

AI in Interpreting: Slator Pro Guide

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Slator's Pro Guide: AI in Interpreting is an absolute must-read for all providers of interpreting services and solutions. Here, the authors give a quick snapshot of what the newest applications of AI and large language models (LLMs) look like in interpreting. This Slator Pro Guide will bring you up to speed on what value AI can bring to your company and the new interpreting workflows, service models, and speech AI capabilities now available to you. The guide covers 10 one-page, actionable case studies-thematically designed and presented as vibrant infographics drawn from research and interviews with some of the leading interpreting service providers in the industry. The ten use cases highlight new areas of growth, innovative models for service delivery, and novel workflows in interpretation made possible by the recent developments in LLMs, speech-to-text, and speech synthesis. We will illustrate how AI speech translation solutions are being leveraged to open up language acc...
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Highlights from SlatorCon Silicon Valley 2024 Slator- Language Industry Intelligence On September 5, 2024, more than 150 language industry and technology leaders gathered at Hotel Nia in Menlo Park, Silicon Valley . The event offered a friendly and relaxed environment, encouraging networking and reconnections among participants. Attendees from over a dozen countries and four continents emphasized the importance of in-person Slator events in addition to virtual ones. The expo hall was also buzzing with activity. Esther Bond , Head of Advisory at Slator, kicked off the event with a warm welcome, outlining the day's presentations and panels, and encouraging delegates to network and engage with each other. Key Takeaways from SlatorCon Silicon Valley 2024 Florian Faes , Managing Director of Slator, opened the sessions by presenting key insights from Slator’s latest research on the language industry's current state. He discussed practical applications of large language models (LLMs)...