Uncover insurance fraud with graph technology in our latest Memgraph demo. Watch as Josip, Head of Solutions at Memgraph, showcases how to leverage graph databases for detecting fraudulent insurance claims.
This demo highlights:
☑ Basic pattern matching in #CypherQuery language
☑ Analyzing claim patterns and suspicious connections
☑ Utilizing Memgraph's built-in algorithms (#BFS, #DFS, & shortest path)
☑ Creating real-time triggers for fraud detection
☑ Visualizing complex relationships in insurance data
Learn how Memgraph's in-memory architecture and C++ foundation enable deep path traversals and efficient fraud analysis.
Whether you're in insurance, fraud detection, or curious about graph database applications in the InsureTech domain, this demo offers practical insights into Memgraph's capabilities for real-time fraud detection.
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About Memgraph:
Memgraph offers a light and powerful graph platform comprising the Memgraph Graph Database, MAGE Library, and Memgraph Lab Visualization. Memgraph is a dynamic, lightweight graph database optimized for analyzing data, relationships, and dependencies quickly and efficiently.
It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice in critical decision-making scenarios such as risk assessment (fraud detection, cybersecurity threat analysis, & criminal risk assessment), 360-degree data and network exploration [Identity and Access Management (IAM), Master Data Management (MDM), & Bill of Materials (BOM)], and logistics and network optimization.
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#InsuranceTech #VehicaleInsurance #FraudDetection #GraphDatabases #Memgraph
