Learn how Organizations are making their data their best asset against fraud, money laundering, crimes and cyber threats with Linkurious Enterprise.
Learn from this talk how the American Enterprise Institute conducts intelligence analysis in today's big data world.
Learn how to detect and investigate ecommerce fraud with graphs.
Learn how to apply a graph approach to identify the hidden connections in your metadata and understand how data flows.
Learn how to model your data as a graph, extract it from a spreadsheet into Neo4j and Linkurious Enterprise.
Learn more about graph technology: what is it, why it’s relevant and how to use Linkurious Enterprise with a graph database.
We listed more than 100 solutions to visualize connected data. Get the overview in this presentation.
Learn more about Linkurious Enterprise architecture, integration and compatibility requirements.
Learn how Linkurious Enterprise can provide both technical and non-technical users with a deep understanding of relationships and context to drive better decision making.
Learn how the AEI analyst team pieces together intelligent pictures of conflict dynamics with Linkurious Enterprise.
Learn how investigators use the graph intelligence platform to find insights hidden in complex connected data.
Learn about graph analytics and how to integrate it with Linkurious Enterprise.
Learn how to model and visualize multiple domain systems and processes.
Découvrez comment détecter les fraudes financières avec Datastax et Linkurious Enterprise.
Learn how to follow a graph-based approach in Enterprise Architecture.
Learn how the Université de Lorraine used Linkurious Enterprise to handle IT infrastructure changes.
Learn how Cerved developed Graph4You, a graph application to understand financial ecosystems.
Learn how Bforbank’s fraud and compliance unit is stopping sophisticated fraud in its tracks with Linkurious Enterprise.
Learn how to reinforce your AML programs with graph technology.
Learn how the ICIJs investigators unveiled fraudulent schemes from the Panama Papers data leaks.