Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...
AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.
Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...
When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...
The team's SynthSmith data pipeline develops a coding model that overcomes scarcity of real-world data to improve AI models ...
Every synthetic dataset generated today trains tomorrow's models while potentially poisoning the ecosystem those models ...
How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...
Giant AI data centers are causing some serious and growing problems – electronic waste, massive use of water (especially in arid regions), reliance on destructive and human rights-abusing mining ...
Last month, destructive wildfires blazed across Maui, Hawaii, killing at least 100 individuals and destroying some 3,200 acres of land. Residents critici zed government leaders, especially those ...
How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in ...