The first step in building a set of AI training data concerning global macro policy is to identify the different categories of language inputs needed for model training. This post explains the four categories of content and why they are different.

This morning's NYT op-ed is right on the money...and we have the data to prove it (see the charts below). While the rest of the world...

Specifically: one can configure agentic AI processes to collect, aggregate, and analyze publicly available official sector data. But you still need to know where to look. And you still need to know why a particular data series is important to your analysis. We break down the top categories of global macro data and how to access them.

July 2025 Blog Series: evaluating all the quantitative, language, and signal data available for global macro decision intelligence to support AI-powered trend projection and generative AI deployments.

Should we separate out the trade policy data that we generate and provide it to customers in a dedicated, separate feed?

How to use PolicyScope data in Generative AI to achieve superior tariff policy risk measurement and insights.

How to measure de-dollarization risks with economic data and alternative data, in four easy steps.

Discover how PolicyScope data can help global macro investors and investment advisors measure reserve currency policy risk and manage exposu

And so it begins. Japan today continues the global trend of electing to leadership another outsider whose views on a range of issues run...

How to use alternative data and training data to spot policy signals hiding in plain sight: crypto, renewable energy, tariff/monetary policy