The Data Cloud Podcast

In this episode, Dana Gardner sits down with three industry experts from Snowflake: Rosemary DeAragon, Rinesh Patel, and Tim Long to explore how AI will transform retail, financial services, and global manufacturing in 2026. Together, they break down the forces reshaping consumer behavior, enterprise operations, and competitive dynamics across these sectors. Across all three industries, one theme is clear: in 2026, AI will no longer be a side experiment. It will be a foundational driver of growth, efficiency, and competitive advantage.

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In this episode, Dana Gardner is joined by Chandi Kodthiwada, Vice President of Product Management at Komodo Health to explore how Komodo Health utilizes vast and disparate data sources to generate unprecedented insights in life sciences and healthcare. They discuss the founding mission of Komodo Health, the challenges of building a comprehensive, de-identified dataset, and AI’s role in reducing the burden of disease and improving patient outcomes.

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In this episode, Dana Gardner is joined by Zach Maybury, Chief Technology Officer at DraftKings to discuss the intricate balance of market agility and regulatory compliance for the sports entertainment company. They explore DraftKings' cloud-native roots, hybrid cloud strategies, real-time data ingestion, and staying agile in a rapidly evolving industry.

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In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by David Woodhead, Head of Engineering for Aladdin Studio at BlackRock. They delve into BlackRock's comprehensive data strategies, highlighting the evolution of the Aladdin platform from an analytics factory to an intelligence factory built on modern data infrastructure. The conversation also touches on AI integration, the complexities of managing large-scale data distribution, and the cultural and technological shifts necessary to support these advancements.

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In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by Clay Owensby, Senior Director of Data and BI Technology at NASCAR. They dive into how NASCAR leverages advanced data analytics and digital services to enhance fan engagement and safety, modernize their data architecture with cloud solutions, and foster a deeper relationship with fans. The conversation also covers the organization's strategy for attracting younger audiences and the potential future benefits of predictive analytics and AI in delivering personalized experiences.

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