System and method for rapid development and deployment of reusable analytic code for use in computerized data modeling and analysis

This invention describes a software system that helps data scientists quickly build and use analytical code. It works by creating a central, continuously updated layer of "signals" from various data sources, which are essentially pre-processed data points ready for analysis. The claims specifically define this signal layer to include descriptive and predictive signals, categorized by entity, transformation, attribute, and time frame.

Why it matters: Filed before widespread adoption of AI-driven code generation and advanced AutoML platforms. Today, large language models could significantly accelerate the creation and maintenance of the reusable analytic code and the signal layer described.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data integration, big data architecture.

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