If open source is the new normal in enterprise software, then that certainly holds for databases, too. In that line of thinking, Github is where it all happens. So to have been favorited 10.000 times ...

Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...

NEW YORK, March 28, 2019 /PRNewswire/ -- Hudson Data released ML Graph, a groundbreaking software framework that provides the ability to easily create and analyze graph structures from relational ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

Over the past decade, we’ve seen a wave of diversification followed by consolidation in database technologies. Rela­tional databases such as Oracle, MySQL, and SQL Server com­pletely dominated ...

IBM today announced the general availability of Graph, a service for the Bluemix cloud offering that the company said helps set up a relatively new, high-performing type of database. Graph databases ...

DBTA recently hosted a webinar, “Machine Learning Today: New Technologies and Strategies,” where ML experts, Dr. Victor Lee, VP of machine learning and AI at TigerGraph; Julian Forero, senior product ...

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a difficult ...

Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, ...