In this episode of the Agile Data N' Info Podcast, host Shane Gibson sits down with Shaun McGirr, a generalist data professional with over 20 years of experience who currently works at Dataiku.

In this episode, the conversation explores the impact of generative AI and large language models (LLMs) on the data value stream. Shane and Shaun explain how LLMs represent an "iPhone moment" in technology, offering powerful conversational interfaces that can grasp context better than previous systems. By focusing on automating and augmenting their own workflows first—such as reading complex database schemas or writing board proposals—data professionals can find immediate value before rolling out these technologies to business stakeholders.

The discussion also dives deep into the complexities of requirements gathering and stakeholder engagement, clarifying the crucial differences between automated AI outputs and the necessity of human interaction. Shaun and Shane break down how over-automating requirements through AI risks cutting out the vital human-to-human collaboration that drives real strategic differentiation, while highlighting how LLMs can serve as excellent "rubber ducks" to identify blind spots in enterprise documentation.

Whether you are curious about tech waves like Big Data or the Modern Data Stack, how LLMs are revitalizing semantic layers and metadata, or how the role of the business analyst is making a comeback in the AI era, this episode is packed with valuable insights for data professionals.