How Graph Databases Power Fraud Detection in Banking
How Graph Databases Power Fraud Detection in Banking Bank fraud today is neither obvious nor simplistic. It doesn’t announce itself; rather, it hides in plain sight. It’s buried in the…
How Graph Neural Networks (GNN) Outperform Traditional Machine Learning
How Graph Neural Networks (GNN) Outperform Traditional Machine Learning Traditional machine learning can tell you a lot, but not everything, and especially not when the relationships between your data points…
Unleashing AI’s Potential: Why Graph Databases are the Secret Weapon
Unleashing AI's Potential: Why Graph Databases are the Secret Weapon Artificial intelligence is rapidly transforming industries, but its biggest challenge remains: understanding relationships within data at scale. Traditional databases fall…
Enhanced Data Analytics: Integrating NVIDIA Rapids cuGraph with TigerGraph
In the rapidly evolving landscape of data analytics and artificial intelligence (AI), the recent talk by Dan McCreary, Head of AI at TigerGraph, at the NVIDIA GTC event stands out…
5 Reasons Why You Can’t Miss Graph +AI Summit 2024
As the Head of Marketing at TigerGraph, I'm thrilled to extend a warm invitation to all enthusiasts, professionals, and curious minds to join us at the upcoming Graph + AI…
The Jellyfish and the Flatworm: a Story About AI Strategy
Many executives are pondering difficult decisions about making large investments in AI. For many of them, their lack of a technical background makes it difficult for them to visualize the…
Learn the basics of graph database technology, including what it is and how other companies use it
Graph Databases 101: Your Top 5 Questions with Non-Technical Answers
The world has always been built around connections, but the world today is more hyper-connected than ever before. Tapping into the power of these rich, growing networks – whether that…
