Generative AI and the Natural Language Interface for Data

Building a natural language interface for data has long been a dream for many in the data and AI spaces. However, prior to the Transformer model (and subsequent rise of Generative AI), AI was simply not sophisticated enough to handle natural-language queries in a meaningfully valuable way. Now that AI has advanced so much, the natural language interface for data is more valuable than ever before. This talk explores three key questions. First, what would a natural language interface for data actually look like? Second, what kind of value would it add to organizations using the Modern Data Stack? Third, what will the challenges look like when it comes to working with a natural language interface for data? Sarah Nagy will share real-world learnings from Seek's customers for each of these questions.