Toyota North America did not start with a model. It started by asking whether its data was ready for one. The honest answer led to a rebuild of everything around the platform: who owns which data, how teams get what they need without waiting in a queue, how a working idea becomes something running in production, and how trusted data gets reused instead of rebuilt by every project. The team that owns Toyota North America's data foundation, and the Ascentt team that built it with them on Databricks, will walk through what they designed, what held up, and the one decision they had to reverse. You will leave with the data readiness check they now use on themselves, and a clearer answer to why so many AI programs are a year in with nothing in production. Bring your hardest question. All the speakers are at the booth straight after.