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Cybersecurity: Combating Modern Threats with Graph Databases

Cybersecurity: Combating Modern Threats with Graph Databases

Published By: Research Desk Released: Mar 14, 2022

Wednesday, March 30, 2022 7:30 a.m. - 10:30 a.m. PT | 15:30 - 18:30 BST “Defenders think in lists. Attackers think in graphs. As long as this is true, attackers…

Knowledge Graphs

Knowledge Graphs

Published By: Research Desk Released: Jul 19, 2021

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, adding more context for intelligent applications, and using connections for complex decision making. Recognized across…

Knowledge Graphs

Knowledge Graphs

Published By: Research Desk Released: Jul 19, 2021

Wed, Jul 28, 2021 • 07:30 – 10:30 Pacific / 10:30 - 13:30 EDT Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, adding…

Optimize Network Services – Advanced Service Assurance with Neo4j

Optimize Network Services – Advanced Service Assurance with Neo4j

Published By: Research Desk Released: May 20, 2020

Telecommunications and network operations have changed. There’s a snowball of new services, tighter cross-domain dependencies and virtualized functions. The complexity of providing network services has exploded. To meet increasing expectations…

Graphs in Government – Fulfilling Your Mission with Neo4j

Graphs in Government – Fulfilling Your Mission with Neo4j

Published By: Research Desk Released: May 20, 2020

Your government agency is challenged with solving complex, ever-evolving problems. Within your vast amount of data, the answers exist somewhere – but only if you can make sense of the…

Why Intelligent Applications Need a Graph Database with Unlimited Scalability

Why Intelligent Applications Need a Graph Database with Unlimited Scalability

Published By: Research Desk Released: May 20, 2020

Your dynamic intelligent applications require a database that scales accordingly with your changing data and business needs. Neo4j performs it safely and with confidence in a native graph database to…

Financial Fraud Detection with Graph Data Science

Financial Fraud Detection with Graph Data Science

Published By: Research Desk Released: May 20, 2020

Financial fraud is an increasingly costly problem for every enterprise. Graph data science turns this problem around by augmenting your existing analytics and machine learning pipelines. The bottom line: Fewer…

The Fastest Path to GDPR Compliance: Graph Technology and Data Connections

The Fastest Path to GDPR Compliance: Graph Technology and Data Connections

Published By: Research Desk Released: Sep 04, 2019

A seismic shift occured in the data management world in May 2018 when the General Data Protection Regulation (GDPR) became law in the European Union. All companies with information about…

Fraud Detection: Discovering Connections with Graph Databases

Fraud Detection: Discovering Connections with Graph Databases

Published By: Research Desk Released: Apr 17, 2019

Tens of billions of dollars are lost every year by U.S. companies and financial organizations due to fraud. Graph databases can help you stop advanced fraud scenarios in real time…

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