At BCMstrategy, Inc., we are fond of saying that "the language is the data." Summer 2025 is when we take the next step by making the language data generated by our patented process available to enterprise buyers via access to .json files with rich quantitative, conceptual, demographic, and lexical metadata tagging.

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.

Just because public policy text is open source does not mean that it is easy to find or access. Spoiler alert -- a kitchen sink approach to language data acquisition is a fast track to high costs, slow training times, and suboptimal outputs. This post seeks to help global macro strategists structure more effective text acquisition strategies to support their portfolio priorities.

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.

Earnings season arrives in July.  Are you ready? Equity analysts will face unprecedented pressures to provide solid guidance regarding...

The new Xai Holdings Corporation creates captive (but not golden) training data for Grok from X. It won't be enough; they will need more.

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

Highlighting appropriate and inappropriate uses of synthetic data when training AI systems. Raising red flags about synthetic language data.

AI Training Data 101 -- your 2025 guide to the kinds of data available for training generative AI and quantitative AI models.

Monetary policy decisions may be data-dependent, but market reaction functions are driven by words. New patented technology now makes it po