Artificial Intelligence
Does Translation Quality Estimation Require Reasoning?
Results on the WMT25 quality estimation task indicate that a…
Multilingual Workforce Communication in 2027: Why One Solution Doesn’t Fit All
New research from Boostlingo reveals the challenges organizations face in…
Compliant, Reviewed, and Still Wrong: How AI Slop Can Survive Compliance
The EU AI Act is remarkably precise about transparency. However,…
Document-Level Context Improves AI Post-Editing When It Provides Actionable Guidance
Welocalize researchers explore how to provide the right context to…
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…
AI Needs Multilingual Experts from Day One
As artificial intelligence continues to reshape the language industry, many…
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.
Inkky: The Data Production Platform Behind Welo Data’s Frontier AI Programs
Why most data pipelines fail frontier AI programs — and…
What a Year of Agentic AI for Multilingual Content Taught Us
The operational lessons shaping Opal’s continuous evolution and the next…
How Global Brands Are Scaling Content Without Losing Brand Voice
Enterprise AI translation has entered a new phase.
Why AI Training Data Integrity Will Define Trusted AI Systems
By the time model quality degrades, the compromised data is…
Rethinking Patent and IP Workflows Across Jurisdictions
The hardest part of global patent filing has never been…
How AI Is Changing Multilingual Execution
From AI training data to agentic workflows, multilingual execution is…
