Language Services Industry

Developing your own approach to using generative AI models such as ChatGPT — one that is both practical AND ethically sound — is perhaps the best way of proving naysayers wrong and ensuring that you get the most out of this promising piece of technology. Perhaps surprisingly, the first key to success with generative AI models is to learn how to talk to them.

There’s no point having data if it’s not up to date! That’s why we are publishing the latest version of our graph that shows the market split between onsite and remote interpreting services (first published in the 2021 Nimdzi Interpreting Index). We wanted to see if what we predicted in September 2021 regarding the market split in the post-pandemic world actually panned out.

In November 2022, OpenAI released ChatGPT, gaining 100 million users within two months and setting a record for fastest-growing user base. Arguably,ever before have we seen such an event get  so much hype in the history of technology. Language technology suddenly got propelled into the center of the wider public’s attention in a way unheard of since Google Translate entered the scene.

It won’t come as any surprise that, like so many other organizations, Nimdzi Insights has been experimenting with ChatGPT since its public release in November 2022. While large language models (LLMs) have been around for a number of years, they have mostly gone unnoticed until ChatGPT broke the dam.

If you’re running a small- or medium-sized language service company, you may be surprised to learn about your potential in the mergers and acquisitions (M&A) space. When it comes to expanding your reach and boosting your market value, you can play a much more active role in M&A than you can imagine.

This article is an attempt to capture where our collective psyche is at this point, some five or six months after OpenAI publicly launched ChatGPT, and on the other, to take stock of all the work that still lies ahead of us as we continue to report on, test, and implement this latest piece of technology in our lives.

Simultaneously the smallest continent and one of the largest countries in the world, Australia is a country like no other, as is its language services industry. On the one hand, Australia has one of the highest proportions of immigrants in the world, with more than a quarter of all Australians having been born overseas.

Since ChatGPT’s launch in November 2022, media outlets have been churning out article after article about how generative artificial intelligence (AI) is coming for our jobs. Nearly every week, a new piece comes out in publications like The Atlantic or Business Insider about how ChatGPT will “destabilize” the job market, making certain workers redundant.

Today, machine translation (MT) is so pervasive that — for many young or early-career localization professionals, at least — it’s hard to imagine a time without it. But such a time did exist. Those with a decade or two of language industry experience under their belt have, no doubt, witnessed firsthand MT’s evolution into the nearly omnipresent entity that it is today.

The language services industry is a shadow industry that is driving the growth of all global brands. It is a transformation business that does not create anything from scratch but transforms content from all other industries.