Spence Green, CEO and Co-founder of LILT, the AI solution provider for enterprise translation, joins SlatorPod. On the podcast, Spence discusses the evolution of LILT's end-to-end platform, which integrates AI models with human verification to ensure quality standards.

The CEO notes a significant shift in enterprise approaches towards localization, now being more software-driven rather than service-driven, which has been influenced by the broader adoption and focus on AI technologies post-ChatGPT.

Spence emphasizes the importance of continuous training and customization of AI models to improve accuracy and efficiency in translation. He highlights how localization has emerged as an early winner to showcase the return on investment in AI.

Spence addresses the impact of AI on the translation industry, including the potential for linguist shortages due to low rates driven by machine translation post-editing. He predicts that the market will eventually adjust, but in the meantime, there is a need for higher-skilled linguists to manage the gap left by AI models.

The podcast concludes with insights into LILT's recent features, such as AI Analytics, which provide clients with deeper insights into the impact of AI on their localization processes. Spence also talks about the potential for multilingual content creation using AI, the challenges of segment-level interfaces, and the importance of workflow orchestration in localization.