Catalog & Cocktails: The Honest, No-BS Data Podcast

Listen to the Tim and Juan's takeaways from our discussion with Alex Bertails about Netflix's Unified Data Architecture. If you like what you heard, listen to the full episode! See omnystudio.com/listener for privacy information.

Tim and Juan chat with the honest no-bs analyst Sanjeev Mohan to discuss the latest trends in the data & analytics space. We go over the vendor unification, the focus on semantics and metadata, what trends have survived and much more.See omnystudio.com/listener for privacy information.

Tim and Juan chat with the honest no-bs analyst Sanjeev Mohan to discuss the latest trends in the data & analytics space. We go over the vendor unification, the focus on semantics and metadata, what trends have survived and much more. If you like this short takeaway episode, you should listen to the full episode. See omnystudio.com/listener for privacy information.

After 5 years of doing the podcast, time to revisit the past. Juan and Tim look at where this all started, how we are making progress in data, and where is history repeating itself. Listen for some #HonestNoBS takes about the data world!See omnystudio.com/listener for privacy information.

In the finale, Tim and Juan celebrate the season by reminiscing about key insights and memorable moments with their guests. They stress the importance of empathy and storytelling in data work, advocating for a trust-centered approach. The discussion highlights a shift from tool-centric data governance to aligning strategies with business objectives. Excitingly, they delve into the rise of digital twins in enhancing operational efficiency and tease future topics, promising more engaging content ahead!

Rebecca O'Kill, CDAO of AXIS Capital and an expert in data governance, joins Juan and Tim to share insights from the Gartner Data & Analytics Summit 2025. She discusses the evolving landscape of data governance, emphasizing its critical role in enabling AI and aligning with business objectives. They explore the transformation of innovation teams and the necessity of balancing fast-paced business demands with tech strategy. Additionally, the conversation highlights the significance of collaboration and effective communication in fostering stakeholder engagement for better data outcomes.

Join Juan and Tim as they welcome special guest Rebecca O’Kill (CDAO of AXIS Capital) fresh from their panel at the Gartner Data & Analytics Summit 2025 in London. They'll have an Honest, No-BS discussion on making data catalog and governance work in the real world while sharing key themes and actionable insights from one of the year's most influential data conferences.See omnystudio.com/listener for privacy information.

Tim and Juan take listeners on a journey through their latest observations in the dynamic data world. They dive into the recent acquisition of Data.World by ServiceNow and its implications for data as a strategic asset. Insights from the Data Governance and Information Quality Conference highlight best practices for data management. The hosts discuss the challenges of AI in data governance and the importance of treating AI as a product. Their excitement for upcoming conferences and community engagement adds a personal touch, inviting listeners into the conversation.

Barr Moses, CEO and Co-Founder of Monte Carlo, dives into the world of data and AI observability as a competitive advantage. She asserts that managing proprietary data is the true moat, not just models. The discussion highlights the importance of reliability in AI products and the necessity of human oversight. They explore the integration of data governance and machine learning practices, the evolving relationship between data and AI, and the vital role semantics play in observability. Networking insights and learning resources for data professionals are also shared.

Barr Moses shares insights on why managing data is more important than just having advanced models for competitive advantage. He explains the concept of AI observability, highlighting its dependence on solid data practices. The discussion navigates through common data challenges organizations face with AI, advocating for collaboration between data and software teams. Ultimately, building reliable data systems is essential for creating resilient AI applications.