About this episode
Expanding AI technology to the local languages of emerging markets presents huge challenges. Good data is scarce or non-existent. Users often have bandwidth or connectivity issues. Existing platforms target only a small number of high-resource languages.
Our own Daniel Whitenack (data scientist at SIL International) and Dan Jeffries (from Pachyderm) discuss how these and related problems will only be solved when AI technology and resources from industry are combined with linguistic expertise from those on the ground working with local language communities. They have illustrated this approach as they work on pushing voice technology into emerging markets.
Featuring:
- Dan Jeffries – LinkedIn, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
- The world’s languages
- Ethnologue
- TTS for Singlish
- SIL International
- Pachyderm
- Previous episode - Pachyderm’s Kubernetes-based infrastructure for AI
Upcoming Events:
- Register for upcoming webinars here!
Get every episode summarized
Each time Practical AI publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Practical AI
Less about Models; More about Architecture
Practical AI
Building the Foundation for the Agentic AI Era
Practical AI
AI Proficiency: From Users to Builders
Practical AI
Models, Harnesses, and Multi-Agent Systems
Practical AI