Blog
Writing on machine learning, data analytics and where financial decision-making is headed.
Traditional scorecards are giving way to gradient-boosted and graph-based models — but only when paired with the explainability regulators expect. A look at what's actually changing under the hood.
Narrative generation is quietly automating the least favorite part of every finance team's month — with real governance implications.
SHAP values, counterfactuals and model cards — the practical toolkit for models that need to survive an examiner's questions.
How transformer models are picking up on tone, hedging language and evasiveness that keyword-based sentiment tools miss entirely.
Reinforcement learning is creeping into strategy design — but the backtest-to-production gap is wider than most teams admit.
Why every finance AI project quietly becomes a data-quality project first — and how to plan for that from day one.
A candid look at the AI use cases with real ROI in 2026 — and the pilot projects that quietly never ship.
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