Show: Snowflake Summit · Publisher: Snowflake · Host: Snowflake editorial
Episode URL: https://www.youtube.com/watch?v=9LOP86qaw34
Publish date: 2026-04-14
Duration: 5163.0s
Default source credibility: MEDIUM — Vendor conference — Snowflake keynotes and product launches are marketing (LOW for claims about own products). Named F500 customer talks with production metrics stay HIGH. Filter aggressively for customer sessions with named speakers and quantified outcomes; skip product demos and partner pitches.
- Snowflake’s Cortex Code and Snowflake Intelligence enable faster, more secure AI model deployment and data management, with new features like shared workspaces and agentic apps.
- Customer Booking.com demonstrates successful AI adoption with Snowflake, achieving significant time savings and improved data access for business users.
- Snowflake’s partnership with OpenAI brings leading AI models into a secure, governed environment, facilitating enterprise AI adoption with compliance and trust.
Extracted quotes
| # | Credibility | Speaker | Org | Timestamp | Topic | Quote |
|---|---|---|---|---|---|---|
| 1 | MEDIUM | Kieran Kuran (Part of trips data within trips business unit) | Booking.com | 1:05:51 | 07-adoption-challenges | We have over 200 employees and a data team of 20 specialists. They were constantly getting business-critical questions from business about the data, which was time-consuming and causing prioritization challenges. |
| 2 | MEDIUM | Kieran Kuran (Part of trips data within trips business unit) | Booking.com | 1:06:20 | 07-adoption-challenges | We started small, created a semantic view, a couple of custom instructions, and verified queries, and iterated to gain confidence. Once we had that confidence, we decided to roll out in phases. |
| 3 | MEDIUM | Kieran Kuran (Part of trips data within trips business unit) | Booking.com | 1:08:04 | 07-adoption-challenges | We are planning to use Cortex search for unstructured data and want to drive insights to action mode by configuring the agents to perform some specific tasks. |
Per-quote detail
1. Kieran Kuran — Booking.com (1:05:51)
We have over 200 employees and a data team of 20 specialists. They were constantly getting business-critical questions from business about the data, which was time-consuming and causing prioritization challenges.
- Stat: 200 employees and 20 specialists in data team
- Credibility: MEDIUM — Named exec at identifiable org with specific claim, but vendor/sponsorship context.
- Topic tag:
07-adoption-challenges
2. Kieran Kuran — Booking.com (1:06:20)
We started small, created a semantic view, a couple of custom instructions, and verified queries, and iterated to gain confidence. Once we had that confidence, we decided to roll out in phases.
- Credibility: MEDIUM — Named exec at identifiable org with specific claim, but vendor/sponsorship context.
- Topic tag:
07-adoption-challenges
3. Kieran Kuran — Booking.com (1:08:04)
We are planning to use Cortex search for unstructured data and want to drive insights to action mode by configuring the agents to perform some specific tasks.
- Credibility: MEDIUM — Named exec at identifiable org with specific claim, but vendor/sponsorship context.
- Topic tag:
07-adoption-challenges
Extracted 2026-04-14T13:46:29 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).