Doing Better with Data and AI
summary
Cresta builds an expertise engine that ingests call/chat/email transcripts, uses large transformer models fine‑tuned on a few top‑performer examples, and surfaces real‑time coaching via a curated library of moments (frustration, tone shifts, key questions) to drive outcomes — customers like Porsche and Cox report higher sales, better CSAT and lower churn. Snowflake supplies the cloud data layer and permissioned sharing (no file copies) plus a data marketplace (e.g., Starsky COVID data) to unite inputs, while rollout focuses on agent training, peer success stories and raising data literacy so models get trusted and adopted.
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chapters (14)
- 0:00Intro
- 0:40Lazy view of AI
- 2:17Expertise engine
- 3:26Results in production
- 5:33Natural language and AI
- 7:39Copilot AI
- 8:37Applications
- 9:40Data Infrastructure
- 14:46Data Sharing
- 15:34Snowflake
- 17:38Organizational and cultural resistance
- 18:24Fear of AI
- 19:25Data Literacy
- 21:26Closing
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