
Olga Beregovaya
VP of AI at Smartling, a company that helps businesses navigate the complexities of global language and AI-powered translation. She focuses on bridging the gap between the rapid advancements in AI and the trust needed for reliable translation.
Top 3 podcasts with Olga Beregovaya
Ranked by the Snipd community

14 snips
Apr 23, 2025 • 41min
Will AI Erase All Language Barriers? | Smartling's Olga Beregovaya
Olga Beregovaya, VP of AI at Smartling, dives into the captivating world of AI and translation. She discusses how AI has evolved from rule-based systems to sophisticated models that tackle language barriers. Key challenges like English-centric biases and the unpredictability of AI outputs are explored. Olga highlights opportunities in specialized language models and innovative workflows that enhance translator productivity. The potential for multilingual multimodality raises exciting possibilities for the future of global communication and more nuanced translations.

4 snips
Feb 8, 2024 • 34min
EP 203: Translation in the World of AI - Will we have a job tomorrow?
Olga Beregovaya, VP of AI at Smartling, navigates the intersection of AI and global translation. She highlights how AI is revolutionizing translation processes while emphasizing the need for human oversight to maintain quality. The conversation dives into the complexities of translating idioms and the implications for job roles in the translation industry. Ethical concerns around AI use and the importance of reskilling for linguists and translation professionals are also discussed, revealing the challenges and opportunities in this rapidly evolving field.

Jul 15, 2025 • 42min
The AI Playbook Used By Global Companies (ft Olga Beregovaya)
Olga Beregovaya, VP of AI at Smartling and a veteran in language technology, discusses how businesses can leverage AI to cut costs dramatically. She delves into Smartling's internal strategies for implementing AI across various workflows and debates the 'build vs. buy' dilemma for AI tools. Olga emphasizes the need for a 'golden dataset' to benchmark models and shares insights on safely scaling AI without risking quality issues. She highlights the evolution of the workforce, advocating for skills like multilingual prompt engineering as key to thriving in the AI era.