From sensors to action.

Description

Descartes Labs, a spinout from the Los Alamos National Laboratory combines A.I., satellites, and high-performance computing for some truly impressive results. While at the national lab, they pioneered Linux based distributed supercomputing and helped ensure there would be no national security surprises. Now, they help commercial and government entities alike. Descartes Labs specializes in monitoring, analyzing, and predicting changes to commodity supply chains, worldwide, in real time—providing their customers with the information advantage they need.

This model, presented as a build, describes the path from sensors to action, outlining the basics of predictive machine learning systems.

Sensors make point-in-time observations.

From sensors to action.

Observations may accumulate over time—preserving historical data.

From sensors to action.

Enough historical data enables modeling.

From sensors to action.

Modeling predicits future states.

From sensors to action.

More observations lead to more accurate models, and a better understanding of what is to come.

From sensors to action.

Knowing what is coming enables us to act today.

From sensors to action.