In this episode of Agents at Work, Jordi Montes sits down with Olga Beregovaya, VP of AI at Smartling, one of the leading enterprise translation and localization platforms. Together, they unpack the real state of multilingual AI and what it actually takes to translate at global scale.
They explore:
- The evolution of translation tech. From rule-based systems to statistical models to modern LLM-driven workflows
- Why enterprise translation is a completely different game than consumer tools
- The role of data cleanliness, linguistic assets, and centralization in delivering global content
- What “agentic translation pipelines” are and why they outperform vanilla LLM translation
- How hyper-localization, hallucination mitigation, and post-editing workflows are reshaping global content operations
- Why enterprises are rethinking “build vs buy” as LLMs become deceptively easy to prototype but hard to productionize
- The surprising limits of current transformer models and why purpose-built, smaller models may be the future
Olga shares 20+ years of experience in NLP, from rule-based MT to neural models to today’s multimodal systems. She explains how Smartling approaches accuracy, latency, brand voice, compliance, and global scalability for customers like Disney and IBM and why translation is becoming a business outcome, not just a linguistic task.