

Catalog & Cocktails: The Honest, No-BS Data Podcast
data.world
Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space.
Episodes
Mentioned books

Nov 14, 2024 • 4min
TAKEAWAYS - The Truth About Open Table Formats with Vinoth Chandar
The data world is buzzing about open table formats and lakehouses, but what's the real story? Vinoth Chandar, founder & CEO of Onehouse, creator of Apache Hudi, unpacks the challenges of data siloes and vendor lock-in, and explains how open table formats are the key to unlocking true data flexibility and collaboration.
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7 snips
Oct 31, 2024 • 1h 4min
What is the Future of Data Catalogs? with Malcolm Hawker
Malcolm Hawker, Chief Data Officer at Profisee and host of the CDO Matters Podcast, dives deep into the evolving landscape of data catalogs. He argues for a shift from data management to a knowledge-first approach, emphasizing the need for context and relationship-building. The discussion highlights the integration of AI and unstructured data, aiming to turn data catalogs into valuable business tools. Participants explore the implications for data governance and the transformative role of generative AI, advocating for data leaders to become strategic partners.

Oct 24, 2024 • 1h 7min
Why we need to focus on Knowledge Management, NOW! with Andrea Gioia
Andrea Gioia, CTO at Quantyca and Co-founder of Blindata, dives deep into the world of knowledge management. He highlights how people and collaboration, rather than technology, are often the biggest hurdles in data management. Andrea stresses the urgent need for organizations to create shared knowledge models to enhance efficiency. He also discusses the critical interplay between human knowledge and AI, emphasizing that effective data reuse and a focus on curiosity are essential for future growth in the field.

Oct 24, 2024 • 6min
TAKEAWAYS - Why we need to focus on Knowledge Management, NOW! with Andrea Gioia
Andrea Gioia, CTO at Quantyca and Co-founder of Blindata, shares his insights on the real issues holding back data management. Spoiler: It's not the technology. Andrea discusses how the biggest challenges stem from people, collaboration, and the ways we handle knowledge. As AI continues to evolve, poor data management becomes an even bigger obstacle, making it clear that prioritizing knowledge management is more urgent than ever.
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Oct 17, 2024 • 56min
Streamlining Data Value with Colleen Tartow, Ph.D.
Can data alone solve your business problems? Colleen Tartow, Ph.D., Field CTO and Head of Strategy at VAST Data, doesn’t think so. In this episode, we explore why it’s crucial to focus on business questions and deliver reliable, high-quality data products. We’ll also break down how to avoid the tech hype and ensure your data strategy is aligned with real business needs. Join us for a candid discussion on data, AI maturity, and finding the true value behind your data initiatives.
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Oct 17, 2024 • 5min
TAKEAWAYS - Streamlining Data Value with Colleen Tartow, Ph.D.
Can data alone solve your business problems? Colleen Tartow, Ph.D., Field CTO and Head of Strategy at VAST Data, doesn’t think so. In this episode, we explore why it’s crucial to focus on business questions and deliver reliable, high-quality data products. We’ll also break down how to avoid the tech hype and ensure your data strategy is aligned with real business needs. Join us for a candid discussion on data, AI maturity, and finding the true value behind your data initiatives.
Enhance your listening experience at data.world/podcasts

Oct 10, 2024 • 1h 1min
The Power of Active Metadata with Mike Evans
Join Mike Evans, Chief Innovation Officer at Amplifi, as he dives into the transformative potential of active metadata in data management. He emphasizes how organizations can unlock insights from data usage patterns, driving operational efficiency and informed decision-making. The discussion covers practical strategies for leveraging actionable metadata, enhancing data discovery, and improving data culture. Mike also highlights the need for organizations to reassess their technology investments based on metadata capabilities, steering towards a self-improving data environment.

Oct 10, 2024 • 6min
TAKEAWAYS - The Power of Active Metadata with Mike Evans
Discover how active metadata can revolutionize data management! Mike Evans reveals its power in uncovering data usage patterns and enhancing analytical capabilities. Learn about the cultural shift needed to prioritize metadata as a strategic asset. This discussion highlights the significance of metadata in optimizing data ecosystems and driving meaningful initiatives that deliver real value. Dive into the untapped potential of metadata for smarter decision-making!

18 snips
Oct 3, 2024 • 1h 8min
Data Quality: The Key to GenAI Success with Kevin Hu
Kevin Hu, CEO & Co-Founder of Metaplane, dives into the critical role of data quality in Generative AI. He discusses how unstructured data complicates AI processes and the need for effective governance to ensure reliable data applications. Kevin emphasizes the importance of qualitative approaches to assess data quality and the cultural shift required to maintain integrity. With engaging metaphors and real-world examples, he sheds light on how businesses can adapt to the evolving landscape of data management.

Oct 3, 2024 • 7min
TAKEAWAYS - Data Quality: The Key to GenAI Success with Kevin Hu
Kevin Hu, CEO and Co-Founder of Metaplane, delves into the critical role of data quality in achieving success with Generative AI. He discusses the challenges faced by data teams, including non-determinism and unstructured data, and emphasizes the need for robust data management strategies. Kevin highlights concepts like 'chunking' and 'anomaly detection' as essential tools for navigating these obstacles. He also advocates for teamwork between data and machine learning professionals to ensure reliability in AI initiatives.