Show: Google Cloud Next · Publisher: Google Cloud · Host: Google Cloud editorial
Episode URL: https://www.youtube.com/watch?v=SZGzCvaaWGk
Publish date: 2026-04-14
Duration: 180.0s
Default source credibility: MEDIUM — Vendor conference — Google 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.
- Box uses AI agents to process unstructured data, significantly speeding up tasks like audits.
- Box leverages Google Cloud’s Gemini model for its speed and accuracy, making AI feasible for various use cases.
- Security and compliance are paramount for Box’s AI solutions, especially for regulated customers like government and financial sectors.
Extracted quotes
| # | Credibility | Speaker | Org | Timestamp | Topic | Quote |
|---|---|---|---|---|---|---|
| 1 | MEDIUM | Ben Kus (Chief Technology Officer) | Box | 1:13 | 02-corporate-tools | one of our customers, they were doing an audit and they needed to go through all of their data to see which ones were customer related data or not. And so then they were able to take agents and have them do that work. and within a day they had it actually solved. |
| 2 | MEDIUM | Ben Kus (Chief Technology Officer) | Box | 1:36 | 01-ai-native-landscape | 2 million tokens on some models will take many minutes or an hour just to process. With Gemini it can fly through that much faster which then makes it actually feasible to use in many use cases. |
Per-quote detail
1. Ben Kus — Box (1:13)
one of our customers, they were doing an audit and they needed to go through all of their data to see which ones were customer related data or not. And so then they were able to take agents and have them do that work. and within a day they had it actually solved.
- Credibility: MEDIUM — Named exec with specific claim, but vendor context.
- Topic tag:
02-corporate-tools
2. Ben Kus — Box (1:36)
2 million tokens on some models will take many minutes or an hour just to process. With Gemini it can fly through that much faster which then makes it actually feasible to use in many use cases.
- Credibility: MEDIUM — Named exec with specific claim, but vendor context.
- Topic tag:
01-ai-native-landscape
Extracted 2026-04-14T12:49:02 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).