What if AI could tap into live operational data — without ETL or RAG? In this episode, Deepti Srivastava, founder of Snow Leopard, reveals how her company is transforming enterprise data access with intelligent data retrieval, semantic intelligence, and a governance-first approach. Tune in for a fresh perspective on the future of AI and the startup journey behind it.
We explore how companies are revolutionizing their data access and AI strategies. Deepti Srivastava, founder of Snow Leopard, shares her insights on bridging the gap between live operational data and generative AI — and how it’s changing the game for enterprises worldwide.
We dive into Snow Leopard’s innovative approach to data retrieval, semantic intelligence, and governance-first architecture.
- 04:54 Meeting Deepti Srivastava
- 14:06 AI with No ETL, no RAG
- 17:11 Snow Leopard's Intelligent Data Fetching
- 19:00 Live Query Challenges
- 21:01 Snow Leopard's Secret Sauce
- 22:14 Latency
- 23:48 Schema Changes
- 25:02 Use Cases
- 26:06 Snow Leopard's Roadmap
- 29:16 Getting Started
- 33:30 The Startup Journey
- 34:12 A Woman in Technology
- 36:03 The Contrarian View
🔗 LinkedIn: https://www.linkedin.com/in/thedeepti/
🔗 Website: https://www.snowleopard.ai/
Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
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