In 2017, eight Google researchers published a translation study called Attention Is All You Need. It introduced the Transformer, the technology behind ChatGPT and today's AI boom. Here is what the study changed, and what it means for anyone who relies on translation and interpretation.

Remote interpretation has become the norm. But there is a gap that rarely gets discussed openly — and it sits squarely between what clients expect and what the technology actually delivers.

Remote simultaneous interpretation is significantly more demanding than its in-person equivalent. Not because the interpreters are less skilled. But because the environment introduces technical and cognitive challenges that simply do not exist in a physical booth — and when those challenges are not prepared for, the quality of interpretation suffers.

In this post, we break down what those challenges are, why they matter, and exactly what you as an organizer or client can do to make your next remote multilingual event run as smoothly as possible.

Artificial intelligence is transforming the translation industry at a speed that is impossible to ignore. But does that make it a threat to human language professionals — or the greatest opportunity the industry has ever seen? The answer depends on how you use it. From processing billions of words per day to struggling with cultural nuance and high-stakes content, AI has both remarkable capabilities and well-documented limitations. Discover how the smartest organizations are combining human expertise with AI efficiency — and what it means for the quality of your next multilingual project.