Data’s messy, and we don’t sugarcoat it. We dig into real-world stories—FinOps, data platforms, streaming, governance—with people who’ve been there, screwed up, figured it out, and can still laugh about it. No buzzwords, no corporate cheerleading—just curious questions, practical insights, and the occasional bad joke.
All content for Straight Data Talk is the property of Yuliia Tkachova & Dumky de Wilde and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Data’s messy, and we don’t sugarcoat it. We dig into real-world stories—FinOps, data platforms, streaming, governance—with people who’ve been there, screwed up, figured it out, and can still laugh about it. No buzzwords, no corporate cheerleading—just curious questions, practical insights, and the occasional bad joke.
Deepti Srivastava: Systems Thinking for Enterprise AI
Straight Data Talk
56 minutes
9 months ago
Deepti Srivastava: Systems Thinking for Enterprise AI
Deepti Srivastava, Founder of Snow Leopard AI and former Spanner Product Lead at Google Cloud, joined Yuliia to chat what's wrong with current approaches to AI integration. Deepti introduces a paradigm shift away from ETL pipelines towards federated, real-time data access for AI applications. She explains how Snow Leopard's intelligent data retrieval platform enables enterprises to connect AI systems directly to operational data sources without compromising security or freshness. Through practical examples Deepti explains why conventional RAG approaches with vector stores are not good enough for business-critical AI applications, and how a systems thinking approach to AI infrastructure can unlock greater value while reducing unnecessary data movement.
Deepti's linkedin [https://www.linkedin.com/in/thedeepti/]- https://www.linkedin.com/in/thedeepti/
Snowleopard.ai [http://snowleopard.ai/] - http://snowleopard.ai/
Straight Data Talk
Data’s messy, and we don’t sugarcoat it. We dig into real-world stories—FinOps, data platforms, streaming, governance—with people who’ve been there, screwed up, figured it out, and can still laugh about it. No buzzwords, no corporate cheerleading—just curious questions, practical insights, and the occasional bad joke.