Achieving high-quality AI translations without overspending requires a strategic approach. Explore effective methods to balance cost and quality in AI translation evaluation, ensuring accurate and efficient multilingual communication.

Explore the advancements and challenges of AI in interpreting with Slator in-depth analysis. Learn how AI is transforming interpreting workflows, enhancing language access, and shaping the future of communication. Explore this quickly developing area of language technology to...

Explore the insights of memoQ CEO Peter Reynolds as he delves into the transformative impact of Adaptive Generative Translation AI on the translation industry. Learn how memoQ is leveraging AI to enhance its tools, meet the evolving needs of enterprises, LSPs, and translators,...

https://youtu.be/MSpLvT3vpkI?feature=sharedFlorian and Esther, along with Slator Head of Research, Anna Wyndham, discuss the language industry and AI news of the week, with findings from Anthropic’s recent research on Claude’s usage. The analysis of over 4 million conversation...

Explore the history and advancements in machine translation technology. Discover how it's breaking down language barriers and enabling seamless global communication.

Bryan Forrester, Co-founder and CEO of Boostlingo, returns to SlatorPod for round 2 to talk about the company’s growth, the US interpreting market, and the evolving role of AI.https://youtu.be/fMNcJ5EV2zk

Dive into Slator’s Pro Guide on AI in interpreting. Discover how artificial intelligence is transforming the interpreting industry with cutting-edge tools and techniques.

Explore the latest advancements and trends in language technology with Slator. From AI-driven tools to machine translation innovations, stay updated on how technology is transforming the language services industry.

From the boardrooms of Silicon Valley to the bustling hubs of Asia, language industry leaders recognized the transformative role of AI in translation, interpreting, and multilingual content generation in 2024, particularly the versatility of large language models (LLMs) and th...