The evolution of the ETL ecosystem AI/ML functionality within ETL tools Conclusion: more AI to come Frequently asked questions (FAQ) We live in an age of change and scale. As of 2025, there are ~100 ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

GraphRAG has garnered significant attention recently, with numerous libraries and packages emerging to facilitate seamless implementation. In this blog, we will delve into the concept of Knowledge ...

As a professional in the tech industry, I enjoy delving into complex problems and sharing solutions that help others on ...

We'll walk through example code based on Neo4j Desktop and the Graph Data Science (GDS) library to run Cypher queries on the graph, preparing data for downstream analysis and visualizations with ...

The management of healthcare data is constantly transforming to assist the healthcare industry in increasingly productive ways 1,2,3. In traditional electronic medical record (EMR) systems, data are ...

Traditional drug discovery faces a severe efficacy crisis. Repurposing of registered drugs provides an alternative with lower costs and faster drug development timelines. However, the data necessary ...

CyATP is a web platform for cybersecurity awareness training that makes use of Natural Language Generation (NLG) techniques to automatically generate the training content; the serious game approach is ...

Importantly, Neo4j has an interface that allows the INR to be powered and connected to using Python, and is packaged with a powerful and sophisticated (but proprietary) data browser that allows for ...