Tag: business
The Role of Human Input in AI-Driven Localization Systems
Human input is vital for the quality of AI-driven localization, shifting its role from post-editing to system design. The author details ways to improve consistency and accuracy, refine performance, and help a system scale by using structured feedback loops, translation memory, and style guides.
The Output Mindset
Not all language tasks are created equal. Depending on the intended outcome, each project requires a different rationale to achieve the best result at the right cost.
Sovereignty Is Not a Product Feature
With the emergence of AI platforms, data sovereignty has become a new buzzword. But for language service providers to emerge stronger from this transitional era, they have to understand their technology and preserve the fundamentals of quality work.
What Soccer Teaches Us About Global Audiences
Global marketing requires more than mere translation. To truly connect, brands must achieve cultural fluency, adapting content to resonate locally while maintaining consistency, ensuring their message is felt, not just understood.
The State of Game Localization in 2026
As the games industry continues to grasp for stability after the post-COVID downturn, localization specialists find themselves adjusting with the market dynamics. What does it take to be resilient in this new terrain?
When One Tool Does Everything, What Happens to Everyone Else?
Generalist AI models are absorbing specialized technologies, reducing products like language tech to mere features. To survive, specialized companies must pursue a combination of meaningful quality advantages, deep niche applications, and careful diversification.
Why AI Adoption Stalls in Multilingual Content Workflows
The author discusses the "pilot-to-production gap" in adopting artificial intelligence (AI) to support multilingual content. Scaling AI requires integrating it into existing translation infrastructure, maintaining human oversight, and consistently applying terminology and translation memory to ensure quality and trust.
How Human-AI Collaboration Will Define the Future of Multilingual Events
Andrey Schukin offers a technical deep dive into why current LLM architectures aren't a "silver bullet" for live speech and how a hybrid framework can actually expand the market for interpretation services rather than cannibalize it.
From Service Providers to Technology Innovators
The traditional service-oriented model of language service providers (LSPs) is becoming outdated as clients increasingly expect sophisticated technological ecosystems, including machine translation and analytics platforms. To thrive in the age of artificial intelligence (AI), LSPs need to redefine themselves as technology companies rather than just service providers.