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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In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by Kevin King, Senior Director of Business Intelligence and Analytics at Coca-Cola Consolidated. They explore the evolution of data strategy at Coca-Cola Consolidated, the shift towards greater data availability, and empowering business analysts with dynamic data access. The discussion also covers the critical need for continuous refinement and innovation in data practices to drive business results.

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In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by Travis Scoles, Executive Vice President of Advanced Advertising at Paramount. They discuss how Paramount leverages data, analytics, and AI to enhance advertising efficacy and maintain a competitive edge. The discussion also covers the integration of third-party data, the importance of privacy, and the evolution of targeted advertising.

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In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by Vikrant Bhan, Global Head of Analytics, Data, and Integration at Nestlé. They discuss the transformative potential of agentic AI in reimagining end-to-end business processes. The conversation also delves into the evolution from BI to AI, the advantages of using Snowflake's modern data cloud environment, and the necessity of change management and adoption for realizing AI initiatives.

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In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by Soren Marklund, Vice President of Global Services, Technology Consulting, and AI Data Strategy at Ericsson. They explore how Ericsson leverages modern data architectures to enhance customer interactions and drive business benefits. The discussion covers the importance of a unified data operating model, challenges faced with data silos, and the role of AI and machine learning in improving customer service.

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In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions sits down with Ameesh Paleja, Executive Vice President of Enterprise Platform Technology at Capital One. They explore how Capital One leverages modern data architecture, automation, and AI to improve customer interactions and experiences. The conversation delves into the importance of standardized data, the role of AI-driven personalized services, and the integration of marketing and AI strategies.

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