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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.

Making Data Simple: Live Data, Smarter AI with Snow Leopard founder Deepti Srivastava