Modern enterprises are essentially massive decision engines, making hundreds of millions of decisions every day. Increasingly, data is an essential part of the decision-making process. In other words, data is the fuel of the decision engine. But scaling access to data, and finding quality, fit-for-purpose data is becoming harder and harder, and data architectures are overfitting for yesterday's use cases. This talk will look at how Data Mesh architectures are reversing the trends, moving data producers closer to data consumers, and giving teams better tools for experimentation and adaptation, all for making decisions better, faster, and at scale.