The State of Agentic Data Science

Agents can write the code, run the analysis, and produce a convincing explanation. How do you check that they’ve answered the right question, used the data appropriately, and reached a conclusion you can act on? I joined Gaël Varoquaux (scikit-learn, Inria, and Probabl), Shipra Arora (Bain & Company), and Luca Fiaschi (PyMC Labs) to explore how data scientists are delegating work to agents and building verification into that process: combining programmatic checks, agents critiquing other agents’ work, and human judgment about the problem and its consequences. That changes where we spend our ti