Graduates from these schools will go on to oversee and manage the use of AI in hospitals, manufacturing plants, logistics hubs, public agencies and many small- to mid-sized businesses.

Abstract: Advances in artificial intelligence (AI) and machine learning (ML) have significantly enhanced fire risk assessment by enabling predictive analytics, real-time decision support, and ...

Discover how Hyperbolic Absolute Risk Aversion models risk tolerance, influences investment choices, and simplifies financial ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...

Equifax (NYSE: EFX) today announced the launch of Credit Abuse Risk, a new predictive model that uses FCRA-regulated data and is designed to help protect lenders against first-party fraud and drive ...

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.

This project implements a comprehensive credit scoring model using behavioral data from an eCommerce platform. By transforming Recency, Frequency, and Monetary (RFM) patterns into a proxy for credit ...

New Credit-Risk Model Integrates Debit Data to Better Predict Delinquency New Credit-Risk Model Integrates Debit Data to Better Predict Delinquency December 13th, 2025 8:00 AM By: Newsworthy Staff ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...