The Unexpected AI Playbook: User Experience First
Deliveroo rethinks AI in localization by focusing on customer experience over translation efficiency, creating novel solutions like real-time interpreters.
Act 1: The Snapshot
The Sound(s) of Localization
Spotify is using AI to revolutionize localization, making audio content accessible globally through machine translation, dubbing, and real-time captions.
Heading Toward a Finer-Grained Localization
AI-powered translation can evolve beyond geography to personalize content for individual users’ domains and learning styles.
Reflections: From AI-Assisted to AI-Led Translation
AI agents enable translation to be AI-driven with human oversight, moving from AI-assisted work to AI-handled processes with quality control.
The Breakthroughs Are Real — And They’re Finally Enterprise-Ready
AI in localization is moving from demos to real-world enterprise solutions, with integrated tools that automate workflows while maintaining quality and control.
Context Is the New Currency in Localization
Localization must shift from fuzzy match reuse to AI-driven, context-rich content profiles that shape intent from the source, enabling agentic workflows.
Are We Marketing Language Services (and Ourselves) All Wrong?
Localization teams must market their value proactively, using multilingual AI as an opportunity to drive growth and innovation rather than defensively justifying costs.
AI Is Widening the Localization Divide
AI is widening the gap in localization—teams with clear strategies and tools are scaling fast, while others remain stuck in reactive, manual workflows.
Our Origin Story
The localization industry’s past decade of incremental progress—APIs, orchestration, and MT adoption—quietly laid the groundwork for today’s AI-driven transformation.
Innovation Meets Infrastructure
AI can transform language services, but legacy systems, rigid procurement, and outdated metrics block progress. Real innovation requires rethinking infrastructure.