AI and Language Services: Separating Fact from Fiction

Artificial Intelligence has become central to the language industry, powering translation, subtitling, data processing, and more. But too often the discussion is driven by hype and misconceptions. This session will cut through the noise, providing a clear-eyed assessment of AI’s capabilities and limits in language services.

Drawing on real-world deployments across governments and enterprises, Dion Wiggins will show where AI truly excels, where it fails, and how to decide when a human is essential – when a human is not needed – and what AI can uniquely achieve that humans cannot. From handling billions of words at speed to amplifying workflows with advanced analysis, AI is not a replacement but a force multiplier when used correctly.

Key Topics

• Text processing and analysis of multilingual data
• Translation, post-editing, and quality analysis
• Large and small language models: trade-offs, surprising trends, and amplification
• Data onboarding and multimodal integration
• Subtitling and media localization applications
• Geographies and cultural adaptation of AI
• Low-resource languages and inclusivity
• Amplification: tasks where AI achieves what humans cannot, such as scale, speed, and multidimensional analysis
• When a human is not needed vs when human oversight is critical
• Future trends for language service providers

Audience

This webinar is aimed at LSPs, localisation professionals, media specialists, and technology managers seeking practical strategies for adopting AI responsibly.

Attendees will gain clarity on separating fact from fiction, insights into global developments, and a roadmap for balancing automation with human expertise while leveraging AI’s unique strengths.