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

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 ...

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 ...

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Explore how Neo4j’s InfiniGraph unifies analytical and transactional data, removing ETL bottlenecks to power next-gen GenAI ...

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

Neo4j ®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j's self-managed offering. Infinigraph enables Neo4j's ...

Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...

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

A blueprint to make data flow efficiently and responsibly between stakeholders, using real-world education policy examples.

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