Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

As the Army prepares for large-scale combat operations (LSCO), the importance of effective logistics has never been greater. In contested environments, where supply chains are vulnerable to disruption ...

The breakthrough is based upon algorithms to determine what, if any, residual effect specific applications have on outdoor and indoor living and working spaces. We invest in your health and the ...

In today’s hyper-connected world, businesses are becoming increasingly vulnerable to cyber threats. With the rising sophistication of cyberattacks, traditional security ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...