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The Data Stack Show

215: Data Sharing and the Truth About Data Clean Rooms with Patrik Devlin of Wilde AI

Nov 13, 2024
Patrik Devlin, founder of Wilde AI, dives into the world of data sharing and clean rooms, drawing on his rich background in software and data products. He discusses the evolution of QR codes, highlighting their marketing potential and rapid adoption during the pandemic. The conversation also explores the complexities of data clean rooms, the technical challenges they present, and innovative solutions like Snowflake. Patrik shares insights on data orchestration tools and emphasizes the importance of modern data infrastructures for efficient processing.
52:56

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Patrik Devlin’s transition from software engineering to data engineering highlights the value of diverse experiences in creating effective data solutions.
  • The challenges of implementing data clean rooms reveal that practical, cost-effective data-sharing strategies are crucial for modern businesses.

Deep dives

Patrick Devlin's Background in Data Engineering

Patrick Devlin shares his journey into data engineering, highlighting his decade-long experience in software and recent transition into data-related roles. He co-founded Wild AI, focusing on creating a predictive lifetime value (LTV) product, which involves substantial data handling. His background primarily lies in software engineering, which didn't immediately translate into data engineering but inspired innovation within his new role. Devlin’s excitement about exploring the technical aspects of data work illustrates the importance of diverse experiences in developing effective data solutions.

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