Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

Have you ever wondered how search engines seem to anticipate your every query, how streaming platforms curate playlists that perfectly match your mood, or how online marketplaces magically fill in ...

This is where graph databases and NoSQL come into play. Unlike relational databases, which work particularly well with structured data, graph databases are designed to model and s ...

Valkyrie, a leading applied sciences lab, announces a groundbreaking achievement in space technology: the launch of the first ...

One of the biggest obstacles in multi-institutional EHR research is the inconsistency in medical coding systems across ...

Using Data4Cure's Biomedical Intelligence® Cloud platform, Pfizer has been integrating and analyzing multi-omics data to build a continuously updated knowledge graph that bridges public and internal ...

With the rapid development of natural resource element change monitoring technology based on remote sensing imagery, improving the accuracy of change polygons and reducing false alarms have become key ...

Large language models (LLMs) and generative AI (genAI) require vast amounts of interconnected information and data to function effectively. Knowledge graphs – which organize data sources into ...