Our Analysts' Insights

In our early-in-the-pandemic call for action by company leaders, CSA Research recommended that companies “learn from this experience and get ready now for when the crisis ends.” We echoed that advice in our report on the future of language services. Over the last few weeks we’ve been briefed by several LSPs and translation technology vendors about how they have used the slowdown to push new initiatives and projects and, as we suggested, develop new products. They said that the pandemic’s dis...

A reporter at a major business magazine recently asked CSA Research, “Which of the mega-tech companies won the AI war? Which of them will likely prevail in the battle over the next 10 years?” Our answer was that their users were the real victors – and those users typically run apps from Amazon, Google, and Microsoft. But we broaden the AI discussion beyond Amazon and Microsoft to language technology developers data and machine learning to eliminate unnecessary labor and operations.

An extremely popular gift for the holiday season is the family history DNA testing kit. Vendors such as MyHeritage and AncestryDNA advertise millions of users, increasing sales, and ever-improving analyses. No doubt, this week many people are eagerly awaiting the results of a test-tube full of saliva; wanting to confirm their expected heritage or to discover ancient roots – and expecting to have an absolute, definitive, and correct analysis of their ancestry. But it’s a bit like expecting a ma...

Every day, nearly three quintillion bytes of digitized data come into being. This daily wave of new content supports interactions and transactions across the entire spectrum of human and machine activity – and localizing it is essential for many international business, governmental, and humanitarian activities. There is no sign of this daily growth in content volume slowing down – and with it comes gigantic projects to transform and translate it for other purposes and markets.

Chatbots, machine-authored text, and automated information retrieval and summarization are increasingly important to global businesses seeking to interact more efficiently with customers and meet their needs. Recent developments in this area have been spectacular and AI-driven intelligent agents (chatbots and virtual digital assistants, such as Siri, Cortana, and Alexa) are among the most visible success cases for machine-generated content. Enterprises look to these applications as ways to reduc...

What do Barsoomian, Esperanto, Klingon, Ku, Na’vi, and Tenctonese have in common? They’re all languages created for sci-fi films, except for Esperanto, whose developer, Ludwig Zamenhof, sought to create a universal means of communication. They all represent a human desire to explore or undo the effects of Babel. Although they seem to be a thoroughly modern project, they are actually part of a scholarly project that has been underway since at least the Middle Ages. This research spawned a whole...

Pundits predict that AI and its neural machine translation (NMT) spawn will obsolete an entire industry and put hundreds of thousands of people out of work. That could happen – but only if we postulate a future where the language sector stands by and does nothing. Inaction will result in the wholesale annihilation of many providers, but CSA Research has observed enough tech-enabled LSPs where it’s not business as usual to be more optimistic.

Did you know that companies have access to subtitling in real-time or that riders can access in-app translation to enable their ride-hailing-service drivers to find them on the left corner of the intersection, rather than on the right? If not, check out what Amazon Web Services presented at the most recent LocWorld in Lisbon, Portugal. Platform providers such as Alibaba, Amazon, Baidu, Facebook, Google, and Microsoft continue pouring money and people-hours into harnessing artificial intelligence...

Great content drives experience and commerce. Enterprises constantly ratchet up the amount they need, while global companies demand ever more in additional languages to offer effective customer experiences in other markets. That means language service providers have to localize more content faster than ever before. Human-centric processes can’t keep pace, so the push is on for more automation. But CSA Research finds that adoption rates for the language technologies that could help are lagging a...

CSA Research’s 15th annual survey of the language services and technology market demonstrates that new capabilities to analyze and manipulate big data in local markets will continue to push advances and new applications within AI and the machine learning that it drives. Content will continue to morph as it becomes more conversation-centric to support more and more speech-enabled products and services.