Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

Amazon Web Services's AI Shanghai Lablet division has created a new predictive model -- an open-source benchmarking tool called 4DBInfer used to graph predictive modeling on RDBs, a relational ...

SAN FRANCISCO--(BUSINESS WIRE)--Cyber risk analytics leader CyberCube has launched the world’s first set of detailed Exposure Databases to enable (re)insurers and brokers to perform a wide array of ...

As the volume of scientific literature continues to grow, researchers are turning to artificial intelligence to sift through ...

This article will guide you from scratch to comprehensively understand LangChain4j. Part One: Understanding LangChain4j - ...

Archaic methods have made database modeling happen in a vacuum, which has been quite frustrating to enterprises. Based on PSL Group’s primary objective of helping research-based pharmaceutical and ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...