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Federos Integrates Neo4j to Deliver Universal Topology with Enhanced Graph Technology

Federos Integrates Neo4j to Deliver Universal Topology with Enhanced Graph Technology

Federos, a leading provider of cloud-enabled, AI-optimized assurance, analytics, and automation software that monitors and manages the performance of critical networks and services, announced a partnership with Neo4j, the leader in graph technology, to bring innovative IT and network operations solutions to global service providers and enterprises.

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Federos now integrates Neo4jโ€™s graph database technology withย Assure1ยฎ, the companyโ€™s flagship product that provides real-time operational intelligence for operators of critical networks and services. These enhanced graph database capabilities further enrich Assure1ย Universal Topologyโ„ข, adding even stronger end-to-end views of the network and service topology within Assure1 and enabling network operations teams to quickly and effectively act on incidents. This additional capability aids in the avoidance of outages and improved resolution speed to improve QoS, allow for stronger SLAs, and reduce customer churn.

โ€œWe are delighted to be working with Neo4j as we continue to enhance the Assure1 platform capabilities. Together, we will deliver innovative and high-value solutions that enhance the customer experience, increase operational efficiency, and reduce costs to our customers,โ€ said Keith Buckley, CEO of Federos.

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โ€œBy integrating Neo4j, Federos extends the functionality of its network assurance solution, Assure1, to provide its customers with important ways to reveal hidden network issues, eliminate false positives, analyze impact, and take action,โ€ said Matt Connon, VP of global indirect sales at Neo4j. โ€œWeโ€™re happy to welcome Federos to the global graph ecosystem. This is a big step forward for AI assurance, analytics, and automation.โ€

Assure1โ€™s ability to display fault, performance, and service management status allows operators to understand network activities and status in real-time (and historically) with an end-to-end, cross-domain view of the entire network on a single pane of glass. By combining Assure1โ€™s AIOps and machine learning analytical capabilities with Neo4jโ€™s graph database technologies, network operations teams can be automatically alerted to actionable insights that enable them to resolve service-impacting issues rapidly.

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