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Navigating the Future of Linguistic Talent: Bridging AI and Human Expertise in the Language Industry
The rapid rise of artificial intelligence (AI) is transforming the…
The AI Transparency Gap: What Happens Between Supplier and Publisher?
Understanding what it requires is harder than identifying an AI tool and…
Large-Scale Benchmark Shows Why Enterprise AI Translation Requires More Than Choosing an LLM
Artificial intelligence has fundamentally changed how enterprises approach multilingual content.
AI Post-Editing at Scale: What a 71,262-Segment Study Reveals About the Future of Translation
What is the most effective way to apply large language…
Why Semantic Similarity Isn’t Enough for Translation Quality Estimation
As AI becomes more deeply embedded in enterprise translation workflows,…
When Is a Picture Worth a Thousand Words? What New Research Reveals About Visual Context in AI Translation
As AI continues to reshape translation workflows, advances in vision-language…
+16 Points Closer: What ChrF Means for Your Workflow
Why translation quality metrics can reveal hidden efficiency gains long…
Why Trust Is Part of AI Capability
When organizations evaluate AI, the first question is usually straightforward: Can…
Improving Translation Quality Without Starting Over
Why the next generation of AI should build on your existing linguistic…
Translation Systems Should Learn Over Time
Why continuous feedback loops create compounding quality gains that static…
Three Assumptions About AI in Localization That Production Experience Challenges
Assumptions harden fast in a fast-moving market.
Dan O’Brien
Erin Wynn
Chris Grebisz
Christy Conrad
Matt Grebisz
Siobhan Hanna
Kimberly Olson
Nicole Sheehan