This is a document concerning Data Readiness in the context of machine learning and Natural Language Processing.
RNA-Seq: Data Readiness for Machine Learning Applications
Readiness-first local stock research dashboard for source-gated analysis workflows
A method for assessing the data readiness of NLP projects, as well as the code necessary for visualizing the outcome of the method.
Agentic system that evaluates and transforms a structured base so its ready to use at a classic machine learning problem. See it at https://data-readiness-agent.streamlit.app/
Turn a digital product story into a testable value hypothesis across audience, evidence, Grow/Save/Protect, product form, and data readiness.
Data readiness check for AI/RAG: before you spend on AI, see if your data is ready to feed it. Zero dependencies, runs locally, sends nothing out.
Pre-alpha AI-readiness diagnostic — tests data and integration paths for pilot-purgatory risk before enterprise AI deployment.
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