Sarah Nagy

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.

In this conversation, Sarah Nagy, founder of Seek.ai and former astrophysicist, dives into the fascinating world of AI and data. She explains how Seek.ai empowers non-technical users to access insights effortlessly, transforming data querying with natural language interfaces. The discussion touches on the interplay between improv and AI in crafting responses, the significance of the semantic layer for better data management, and the evolving demands in the data engineering space. Sarah also shares her predictions for rapid advancements in AI productivity tools.

Sarah Nagy, founder and CEO of Seek AI, discusses funding for 3D company Jigspace and AI NPCs. They explore the future impact of AI in gaming and software development, XR Vision Pro, and video editing technology. The podcast also touches on the undervaluation of quants and the role of LLMs in automation for companies.