#machine learning
5 articles found
AI Cyber Threat Intelligence: What the 2026 IBM and Verizon Data Say to Prioritize
Exploited vulnerabilities are now the top breach entry point. How to use AI for alert triage, KEV and EPSS patch priority, and threat hunting.
AI Investment Portfolio Optimization: What Works, What's Overfit, and What's AI-Washing
How AI and machine learning are used in portfolio construction, why backtests mislead (with the math), the record of AI-run funds, and SEC action on AI-washing.
MLOps in Practice: Reproducible Pipelines, Safe Releases, and Drift Monitoring That Works
A practical MLOps guide: versioning, training-serving skew, release patterns, drift metrics with a worked PSI example, LLM evaluation, and 2026 rules.
AI Fraud Detection in Finance: Models, Thresholds, and the Scams Models Miss
Reported US fraud losses hit a record $15.9B in 2025. How fraud models work, how to set decline thresholds with cost math, and why scams need other defenses.
AI Financial Forecasting: When Machine Learning Beats the Spreadsheet (and When It Doesn't)
How to test whether an AI forecast beats a naive baseline, which accuracy metrics to use, where ML helps in FP&A and cash forecasting, and handling drift.