

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

Oct 4, 2023 • 9min
TAKEAWAYS - Generative AI, Data Products and Business Value with Jon Cooke
Takeaways from With the hype of Generative AI, how do we keep focused on
the goal of delivering the right valuable and business facing analytics
and data use-cases with as low friction and maximum agility as
possible? Jon Cooke, founder of Dataception has a lot of honest no-bs
thoughts to share!

Sep 28, 2023 • 17min
From London to San Francisco: Summary of BigDataLDN and AI Conference
Tim and Juan provide an honest no-bs summary of what they observed and learned at Big Data London and the AI Conference in San Francisco. Tune in to get the latest on Data and AI and short interviews from Peter Norvig (Google), Nazneen Rajani (Hugging Face), Fabiana Clemente (YData), Danny Bickson (Visual Layer), Gev Sogomonian (AimStack), Yujian Tang (Zilliz), Patrick McFadin (Datasax) and Ofer Mendelevitch (Vectara)

Sep 21, 2023 • 60min
Business Value on the #meandatastreets with Chris Tabb
Live from #meandatastreets of Big Data London, Tim and Juan will be chatting with Chris Tabb on how data teams need to be driving the message on providing the ability to increase the performance of the business across all domains with the use if data.

Sep 14, 2023 • 12min
Tim and Juan Rant from Amsterdam: where is the data budget?
Tim and Juan will share their latest thoughts about where the budget for data projects are heading.

Sep 7, 2023 • 1h 3min
Data that Doesn’t Drive Results is Useless with Alexa Westlake
If data isn't driving results is useless. In this episode, Alexa Westlake will share from her experience on how to define and scale a council, create a culture of joint ownership of metrics, and discuss the relationship between outputs and outcomes.

Aug 31, 2023 • 1h 1min
What does Data Lakehouse, Sports and Generative AI have in common? with Ari Kaplan
Sports analytics expert Ari Kaplan joins Tim and Juan to discuss the emergence of data lakehouses, the evolution of data in sports, multi-touch attribution challenges, and the potential impact of generative AI on code generation. They also touch on the power of the data lakehouse in integrating structured and unstructured data for better predictions and insights.

Aug 24, 2023 • 1h 3min
From Technical to Business Data Strategy with Aaron Wilkerson from Carhartt
Aaron Wilkerson, a data leader with a technical data strategy, discusses the importance of aligning data strategy with business strategy, the significance of buy-in, exploring the transformational potential of AI in business, and defining ownership and accountability for a Chief Data Officer.

Aug 24, 2023 • 10min
TAKEAWAYS - From Technical to Business Data Strategy with Aaron Wilkerson from Carhartt
Are you a data leader with a technical data strategy and struggling to connect it with the business? Are you trying to get a “seat at the table” and not succeeding? This episode is for you! Aaron Wilkerson will share his thoughts and learnings with Tim and Juan

Aug 17, 2023 • 14min
Juan and Tim rant about AI and Chatting with your data
While Juan is out on PTO he took this time to reflect on all the chatter around AI and Generative AI and it's impact on being able to "talk to your data." Tim also offers his own thoughts on the importance of how this impacts the business.

Aug 10, 2023 • 1h 6min
Data Sustainability w/ Simone Steel
Have you asked yourself what is the relationship between the exponential growth of data and the environmental and business sustainability goals? Simone Steel, an experienced CDAO, has been asking these questions. This episode is a follow up to her thought provoking presentation at 2023 CDOIQ Conference.