Firms that fail to shine light on their dark data risk ceding the high ground in insights and inviting risk exposures lurking ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

OpenNMS stands out as a powerful, feature-rich monitoring solution that's perfect for technical teams willing to invest time in configuration. While the learning curve is steep, the platform's ...

Google’s Knowledge Graph saw its largest contraction in a decade in June: a two-stage, one-week drop of 6.26% – over 3 billion entities deleted. Since 2015, we’ve tracked the Knowledge Graph and have ...

Jim Morris, solution engineer, Progress, and Stephen Reed, senior account manager, Progress, joined DBTA's webinar, Building Knowledge Graphs to Power Your AI Initiatives, to examine how knowledge ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

A study led by Jun Cheng from Xiamen University and collaborators introduces a new workflow for recommending relay catalysis pathways. The workflow uses large language models (LLMs) to extract and ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Over the past few months, I have been exploring different pedagogical frameworks to guide teachers in making sense of AI ...

Bloom’s Revised Taxonomy provides an important framework for integrating, assessing, and evaluating the role of AI in your ...