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With the democratization of AI, an engineer can build an MT model in one day. However, beating Google or DeepL in quality, performance, and market presence is another story. So, who are the teams that are able to compete, stand tall, and beat the odds in the market of MT? Here are some of our top picks.
The NAD’s Policy Institute recently conducted a study assessing the ASL access practices at each state’s press briefings, ranking them according to the visibility...
By Jonathan Otis After a significant slowdown in 2023, the language sector’s M&A landscape rebounded this year, with nearly every language service provider that...
What happens to the language industry’s talent pipeline if MIIS’s Translation & Localization Management program shuts down? In this episode of Localization Today, we...
