LocWorld56 took place October 19 to 21, 2026, at the Vancouver Convention Centre in British Columbia. The conference ran under the theme “From Chaos to Order” and gathered enterprise buyers, language service providers, and technology vendors.
Over three days, the program tackled AI at scale, human governance of AI workflows, and quality as brand trust. It also explored localization as a growth driver. Additionally, a dedicated Localization for Asia track reflected Vancouver’s role as a gateway to Asia-Pacific markets.
Gemma Newlove represented Vistatec alongside Cormac Eklof and Elena Mikhay. Together, they met with enterprise localization leaders, joined sessions across the program, and spent time in Solutions Square. Many of their conversations returned to one question. How do global teams turn AI momentum into dependable, measurable results?
LLM Adoption Has Moved Into Production
Several enterprise case studies showed that large language models now sit at the center of real localization workflows. Twitch explained how it layered AI functions around an existing machine translation workflow. It measured results at each stage instead of assuming them. Similarly, SurveyMonkey presented a production-scale experiment comparing LLM output against legacy workflows for SEO content.
Both sessions pointed to data quality as the foundation for success. In practice, clean and curated data determines whether a model performs reliably across languages and content types. As a result, more teams now invest in AI data services and structured LLM management before they scale.
Human Governance Keeps AI Trustworthy
Geotab described how its small in-house team scaled output nearly fivefold in less than a year. Notably, more than 80% of its content became AI-assisted while quality and cultural relevance held firm. The team achieved this by matching human expertise, AI, and quality checks to content risk and business value.
Meanwhile, Rainbow Railroad showed what happens when translation fails in high-risk settings. The organization explained how default tools can silently drop words or introduce harmful terminology in languages like Pashto and Dari. For Vistatec, these stories reinforce the value of human-centered language AI that keeps expert judgment in the loop.
Terminology Has Become AI Infrastructure
Terminology leaders from SAP, SAP Concur, and Motorola Solutions led two back-to-back sessions on the full terminology lifecycle. They argued that a glossary should function as governed knowledge that gives AI solutions context and guardrails.
In addition, speakers positioned human-curated terminology as a safeguard against hallucinations, semantic errors, and content degradation. Consequently, organizations that invest in global terminology management can improve AI output quality across every market they serve.
Localization Is Inherently Strategic
Life360 shared how its localization team used locale-level growth and retention data to prove revenue impact. That credibility then gave the team real influence over which features and markets the company prioritized.
The plenary keynote from Dr. Mark DeVolder echoed this message. He encouraged leaders to treat disruption as a catalyst for growth and to build alignment and trust across their teams. Taken together, these sessions framed localization as a strategic function that helps shape where the business goes next.
Lean Teams Scale Through Strong Partnerships
One panel featured practitioners from Subway and Visier who run global programs with minimal headcount. They described rising expectations that AI can deliver everything instantly, alongside steady pressure on budgets.
To stay resilient, these leaders build extended teams of language partners, contractors, and internal stakeholders. This approach reduces single points of failure and frees in-house experts for higher-value decisions. For many lean teams, managed services provide that same scale without adding operational overhead.
Turning Insight into Action
Gemma, Cormac, and Elena returned from Vancouver with fresh insight into how enterprise teams manage AI-driven change. Above all, the event confirmed that strong data, sound governance, and human expertise remain central to successful global content. If your team faces similar challenges, speak with one of our experts.
Want to see these principles at work? Explore our case studies to learn how global brands partner with Vistatec to scale multilingual content with confidence.