According to Lilt CEO Spence Green, localization is a top use case for GenAI ROI

Spence Green, CEO and co-founder of LILT, the AI ​​solutions provider for enterprise translation, joins SlatorPod. In the podcast, Spence talks about the development of LILT's end-to-end platform that integrates AI models with human review to ensure quality standards.

The CEO notes a clear shift in company approaches towards localization, which is now more software-focused than service-focused, due to the wider adoption and focus on AI technologies following ChatGPT.

Spence stresses the importance of continuous training and adaptation of AI models to improve translation accuracy and efficiency, highlighting that localization has emerged as an early winner in demonstrating the return on investment in AI.

Spence addresses the impact of AI on the translation industry, including the potential shortage of linguists due to the low prices of machine translation post-editing. He expects the market will eventually adjust, but in the meantime, more highly skilled linguists will be needed to fill the gap left by AI models.

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