Search for:
AI-Driven Predictive Analytics: Turning the Table on Fraudsters


Fraud techniques, including phishing, vishing, deepfakes, and other scams are becoming increasingly sophisticated – making it easier than ever to perpetuate fraud at scale. This is placing businesses in danger of financial losses, and trust and reputational damage. Now, there’s an alarming trend among organized crime rings that have the potential to defraud enterprises of […]

The post AI-Driven Predictive Analytics: Turning the Table on Fraudsters appeared first on DATAVERSITY.


Read More
Author: Philipp Pointner

The Evolution of AI Graph Databases: Building Strong Relations Between Data (Part One)


We live in an era in which business operations and success are based in large part on how proficiently databases are handled. This is an area in which graph databases have emerged as a transformative force, reshaping our approach to handling and analyzing datasets.  Unlike the conventional structure of traditional methods of accessing databases, which […]

The post The Evolution of AI Graph Databases: Building Strong Relations Between Data (Part One) appeared first on DATAVERSITY.


Read More
Author: Prashant Pujara

The Power of Graph Databases to Detect Fraud


Graph databases play a key role in fraud detection within intricate, complex networks, helping security teams keep pace with modern fraud techniques that are becoming increasingly more sophisticated. Graph databases can identify patterns and relationships in big data, reducing the level of complexity so that detection algorithms can effectively discover fraud attempts within a network.  […]

The post The Power of Graph Databases to Detect Fraud appeared first on DATAVERSITY.


Read More
Author: Nahla Davies

RSS
YouTube
LinkedIn
Share