In this episode of Robots and Red Tape, Nick Schutt talks with Bart Maczynski, VP of Machine Learning at RWS, about the dramatic evolution of translation technology and what it really means for global enterprises.

Bart shares his 25-year journey through rule-based, statistical, neural, and now generative AI systems, and explains why this current moment feels genuinely different. The conversation dives deep into how RWS builds specialized, secure translation solutions that outperform general-purpose LLMs while protecting data, eliminating hallucinations, and respecting cultural context.

Key topics:

• The shift from rule-based to statistical, neural, and now generative AI translation
• Why specialized translation models outperform general-purpose LLMs in accuracy and security
• Three major enterprise use cases: localization, intelligence/insight extraction, and secure internal translation
• The future of human translators and the rise of small, domain-specific language models
• Cultural nuance, data infrastructure, and why context still matters more than ever

Whether you’re in localization, digital forensics, compliance, or running cross-border operations, this episode delivers practical insights on scaling translation without sacrificing accuracy or security.

Podcast: Robots and Red Tape | Host: Nick Schutt | Channel: @RobotsandRedTapeAI

#AITranslation #MachineTranslation #GenerativeAI #Localization #LanguageWeaver #RWS #EnterpriseAI #NeuralMachineTranslation #CulturalIntelligence #SmallLanguageModels #DigitalForensics #GlobalContent #AIinLegal #RobotsAndRedTape #TranslationTechnology