Making sense of data has traditionally required understanding structure, schemas, building pipelines and defining metadata before any meaningful analysis could begin. But what if you could start with questions instead?
In this talk, we will explore how AI can act as an adaptive data analyst, helping users work with unfamiliar datasets, documents and heterogeneous sources without extensive preparation. By discovering structure, categorizing information and identifying relationships, AI can accelerate data exploration and turn raw data into useful answers.
Through practical examples, we will see how AI-assisted workflows can help uncover insights, lower the barrier to data analysis and enable users to extract value from data they have never seen before.
