A complete E-Commerce Data Warehouse project designed with a star schema and implemented using SQL Server. It includes ETL workflows (SSIS) to transform operational data into clean, analysis-ready ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

Abstract: In an age where data drives innovation and online interactions are integral to daily life, ensuring the security of web applications and databases has never been more critical. The growing ...

The potential applications of DTs extend beyond individual patient care to public health surveillance, hospital resource management, and epidemiological modeling. However, several challenges persist, ...

Mechatronic Systems Laboratory, Institute of Machine Design and Systems Technology, Technische Universität Berlin, Berlin, Germany This paper presents the development and experimental validation of a ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Data are a crucial asset for organizations, making it essential for database designers to effectively organize and manage data using DataBase Management Systems (DBMS). DataBase design Concepts (DBCs) ...

This project explores global life expectancy trends using the Analyst Builder platform. It showcases interactive dashboards and visual analytics to uncover relationships between life expectancy and ...

Process Research and Development. Merck & Co., Inc., P.O. Box 2000, Rahway, New Jersey 07065, United States ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...