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What Can Generative AI Do for Data People? (W/ Sarah Nagy + Chris Aberger)
Manage episode 356256726 series 2954568
Sarah and Chris are both at the forefront of bringing the promise of gen AI to our actual work as data people—which is a unique challenge! Precise truth is critical for business questions in a way that it’s not for a consumer search query.
Sarah Nagy is the CEO of Seek AI, a startup that aims to use natural language processing to change how professionals work with data.
Chris Aberger currently leads Numbers Station AI, a startup focused on data-intensive workflow automation.
In this conversation with Tristan and Julia, they dive into what this future might actually look like, and tangibly what we can expect from gen AI in the short/medium term.
For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.
The Analytics Engineering Podcast is sponsored by dbt Labs.
78 episodes
Manage episode 356256726 series 2954568
Sarah and Chris are both at the forefront of bringing the promise of gen AI to our actual work as data people—which is a unique challenge! Precise truth is critical for business questions in a way that it’s not for a consumer search query.
Sarah Nagy is the CEO of Seek AI, a startup that aims to use natural language processing to change how professionals work with data.
Chris Aberger currently leads Numbers Station AI, a startup focused on data-intensive workflow automation.
In this conversation with Tristan and Julia, they dive into what this future might actually look like, and tangibly what we can expect from gen AI in the short/medium term.
For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.
The Analytics Engineering Podcast is sponsored by dbt Labs.
78 episodes
All episodes
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1 Building a data team from the beginning (w/ Daniel Avancini) 50:12

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1 The intersection of UI, exploratory data analysis, and SQL (w/ Hamilton Ulmer) 50:37

1 Making data movement as reliable as electricity (w/ Taylor Brown) 46:40


1 The data jobs to be done (w/ Erik Bernhardsson) 42:55

1 Coalesce 2024 edition: What’s next for data teams? (w/ Scott Breitenother) 44:23

1 The current state of the AI ecosystem (w/ Julia Schottenstein) 45:44

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1 How the Media Covers Gen AI (w/ Matthew Lynley, Supervised) 48:15

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1 The End of the Modern Data Stack (w/ Benn Stancil, Mode) 45:46

1 Data Mesh Architecture at Large Enterprises (w/ Moritz Heimpel and Ben Flusberg) 46:07

1 Let's Talk About Data Vault (w/ Brandon Taylor and Michael Olschimke) 44:04

1 Navigating AI Complexity (w/ Jonathan Frankle) 46:20

1 Career Growth in Data Roles (w/ Hubspot's Kasey Mazza at Coalesce 2023) 29:17

1 Operationalizing Your Warehouse, Streaming Analytics, and Cereal (W/ Arjun Narayan of Materialize and Nathan Bean of General Mills) 42:23

1 Roche’s Data Transformation Journey (w/ Yannick Misteli) 40:05

1 The State of Databases Today (w/ Andy Pavlo) 48:28
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