Companies that do business in the native language of their customer build better customer relationships. Although this may seem fairly obvious, it's easier said than done.
After all, when your customer base is spread around the world, how do you scale your customer service?
Unbabel has built their business around the idea that customer service can be delivered in any language quickly and efficiently with the right blend of AI and human intelligence, creating a platform they call "Language Operations" or LangOps.
Jonathan Sowler, VP of Engineering at Unbabel, joins Dev Interrupted to talk about machine learning, what it takes to build a product that seamlessly integrates AI and human-powered translations, and why the future of language involves emojis.
Dan and Jonathan also rundown LinearB metrics and why Jonathan believes implementing LinearB has improved the health of Unbabel's engineering team.
- What is LangOps?
- How ML can be applied to different brands
- Unbabel's use of WorkerB
- Why Unbabel chose to implement LinearB metrics
- Building a platform that integrates AI & human intelligence
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