Catalog & Cocktails: The Honest, No-BS Data Podcast
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
Wednesday Mar 20, 2024
TAKEAWAYS - What data will say when you’re willing to listen with Scott Taylor
Wednesday Mar 20, 2024
Wednesday Mar 20, 2024
Shhh...do you hear that? It's the Data Whisperer. And he's here to tell a story: A data story. He'll disclose some hard-won truths. He'll philosophically approach the idea of truth before meaning. There may even be...data puppets.
Thursday Mar 14, 2024
Thursday Mar 14, 2024
What are we hearing at talks and in the hallways at Gartner Data and Analytics 2024? AI is not only the cool kid, Metadata is everywhere. Join us to learn about the latest takeaways from the conference.
Monday Mar 11, 2024
When business goals and data strategies align with Amy Raygada
Monday Mar 11, 2024
Monday Mar 11, 2024
Amy works at the cross-section of arguably the most important thing to a business: aligning data strategy with corporate vision. How do you ACTUALLY use data to achieve business goals, and how do you know if you're going in the right direction? Amy stops by to discuss.
Monday Feb 26, 2024
Don’t lift and shift: Data governance to AI Governance with Karen Meppen
Monday Feb 26, 2024
Monday Feb 26, 2024
You can’t lift and shift your traditional data governance practices to AI governance. AI's unique quirks bring unique governance requirements: understanding its limitations, ensuring fairness, protecting personal and intellectual property rights, and tailoring accuracy to specific use cases.
Thursday Feb 15, 2024
Another sucky year for startups and investment? with Eva Nahari
Thursday Feb 15, 2024
Thursday Feb 15, 2024
If you really want to win, you need to take some risks and be the first with something new. But how do you minimize risk? Eva Nahari, Principal at DNX ventures, talks to us about the current genAI investment environment.
Thursday Feb 08, 2024
Bridging Innovation and Open Source to the Real World with Paco Nathan
Thursday Feb 08, 2024
Thursday Feb 08, 2024
Paco Nathan has a career on bridging innovation and open source project on Data and AI to the real world. This episode will be his honest, no-bs take on the impact of open source in the real world. And of course, we will also talk about Knowledge Graphs and LLMs.
Wednesday Jan 31, 2024
Without information architecture, there is no AI with Jessica Talisman
Wednesday Jan 31, 2024
Wednesday Jan 31, 2024
A world without AI? Unimaginable. And that's why - so is a world without information architecture, according to Jessica Talisman, information architect at Amazon. Information architecture extends beyond browse menus and UX/UI. We talk about why.
Tuesday Jan 30, 2024
Productivity is not performance with Santona Tuli
Tuesday Jan 30, 2024
Tuesday Jan 30, 2024
Santona Tuli is the head of data at Upsolver. She's a voice we like to listen to about how data teams assemble: data roles, data culture, the function of data at a company...She stops by Catalog & Cocktails to talk workflows, architecture, and looking at data teams with a 10,000-foot view.
Friday Jan 19, 2024
The data mesh-terclass
Friday Jan 19, 2024
Friday Jan 19, 2024
Samia Rahman is the Director of Enterprise Data Strategy and Governance at Seagen. She's a data mesh expert, and she's here to tell us why data mesh often gets mesh-understood. Also - we discuss knowledge graphs, prompt engineering, and whether AI and data governance should be separate.
Thursday Jan 11, 2024
How will AI impact 2024 and beyond?
Thursday Jan 11, 2024
Thursday Jan 11, 2024
Jeremiah Owyang is a general partner at Blitzscaling Ventures. His career arc has spanned web, sharing economy, and autonomous/AI technologies. He believes that AI is going to help humanity accomplish many of the big challenges we have for society, from health to learning to work and more. But the way we communicate and measure work will change - radically. What does our AI-future look like? He stops by to discuss.