Our Analysts' Insights

In today’s interconnected world, a global enterprise’s success hinges on its ability to produce, refine, and deliver content across multiple languages and cultures. Imagine your content creation process as a sophisticated manufacturing production line, where various components from different departments – legal, logistics, marketing, product development, support, and training – come together to create a polished, market-ready product. In this Post-Localization Era, there's a new tool in ...

The topic of automation has taken the interpreting industry by storm. On the one hand, enthusiasts believe in artificial intelligence as a way to broaden language access at an affordable cost. On the other hand, skeptics worry about all the things that could go wrong in the implementation. But where does it all settle when it comes to organization-level implementations?

Back in the day when I first began working in localization, we didn’t have a translation management system (TMS) – they didn’t exist – and our LSP was refusing to use translation memory because it created “too much overhead” for the first venture into producing a customer care website in more than one language. Knowing that the advent of the internet was likely to produce masses of new content in – hopefully – all the languages in which the company operated, we took a huge risk. We found...

The rising frequency of discussions about AI has led to much unease among interpreting service providers about the impact of automated solutions on language access and on what that means to the future of their profession. In this blog, we explore the concept of meaningful language access, why automated interpreting struggles with that concept, and how it relates to deciding and defining the role of the interpreter.

Some people feel that using artificial intelligence (AI) to interpret human speech is a curse because individuals using the service could suffer harm due to mistranslations or because interpreters might lose their livelihood. Others embrace AI for all the possibilities it creates, first and foremost the ability to offer language access on a much greater scale and at a reduced cost. So which camp is right? Like so many techno-ethical questions, there is no right or wrong. It really depends on th...

While the goal for project management has long been full automation (“lights-out”), few organizations achieve it – not for translation nor interpreting services, neither at LSPs nor enterprises. Many teams have tools and processes in place to enable touch-free workflows, yet our research demonstrates a huge gap between “we have the system” and “we are using it.” While some organizations use lights-out processes for a vast amount of translation work – even most of their projects – genera...

Are you an expert project manager or interpreting scheduler? We need to talk! Project management – the shepherding of work from request to delivery, ensuring all the correct criteria are met, and in a timely manner – is not specific to the localization industry. In every area of work, from construction to international shipping, a project manager (PM) plays a leading role in satisfying customers, whether in daily personal contact or acting behind the scenes. These individuals – and the projec...

A common worry about generative AI (GenAI) is that the content that it creates may be subject to copyright claims. Our recent survey of freelance linguists reflected this concern: Copyright issues are their second most important concern with GenAI, with 74% viewing the technology negatively or strongly negatively in this regard. However, an examination of claims about copyright and how GenAI works reveals a different picture. This blog post covers details about how the technology works with its ...

During our research into multimedia localization – and all the new AI-enhanced tools that are sprouting up like toadstools after summer rain – we found many new offerings, some good or excellent, and many not-so. Startup companies with an excellent product may struggle with business processes and strategies; some are already leaders in a brand new field, unimagined a year ago; but too many others are aiming to get-rich-quick based on a worldwide appetite for tools that make everything possible...

It is incredible to think that, less than eight years after the first publicly available neural machine translation (NMT) systems appeared on the scene, some media coverage already sees NMT as so 2015. As generative AI (GenAI) really exploded into public view in 2022, it wasn’t surprising that an overactive tech press’ imagination would see it as the be-all and end-all of technology. Our recent survey with freelance linguists certainly reflects this view, with many language workers expressing ...