Chris Aberger

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.

Chris Aberger, VP at Alation and co-founder of Numbers Station AI, dives into the transformative role of metadata in AI applications. He discusses the challenges of making structured data AI-ready and why quick iterations are vital for success. Chris emphasizes the importance of feedback loops in enhancing AI effectiveness and empowers end-users to become builders through innovative tools. The conversation also sheds light on navigating the complexities of AI deployment and the importance of collaboration in the evolving tech landscape.