SlatorPod
SlatorPod is the weekly language industry podcast where we discuss the most important news and trends in translation, localization, interpreting, and language AI. Brought to you by Slator.com.
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Florian and Esther discuss the language industry news of the week, focusing on Slator’s latest M&A and Funding Report, which highlights over 50 mergers, acquisitions, and financial investments, and nearly 20 funding rounds in 2024. Florian discusses OpenAI’s ChatGPT o1 model, praising its translation accuracy for compl
In the 2024 year-end episode of SlatorPod, hosts Florian Faes and Esther Bond, along with guest Anna Wyndham, explore pivotal language industry trends from the past year and predictions for 2025. First, the language industry news of the week, with LXT’s acquisition of clickworker, which aims to expand its AI data capab
Katharine Allen, Director of Language Industry Learning at Boostlingo, and Dr. Bill Rivers, Principal at WP Rivers & Associates, join SlatorPod to discuss the challenges and opportunities AI brings to interpreting. Both are founding members of the Interpreting SAFE AI Task Force, which aims to guide the responsible use
Florian and Esther discuss the language industry news of the week, where they explore how AI is influencing content creation and translation, noting its progress and limitations. A recent study on GPT-4 revealed its ability to match junior translators but lag behind experienced professionals, particularly in nuanced c
Charles Campbell, President of tbo., returns to SlatorPod for round 2 to talk about his efforts to unite and professionalize the language services industry in Latin America and the Caribbean through the association Juntos. Founded just before the pandemic, Juntos aims to raise standards in translation, interpreting, an
Florian and Esther discuss the language industry news of the week, with Slator’s latest Translation as a Feature (TaaF) Report, which explores how AI translation is becoming an integral feature in enterprise technology. Florian talks about Reddit’s success with machine translation (MT). By localizing content into Frenc