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Explore a comprehensive 31-minute conference presentation demonstrating how Opengear's Unified Digital Operations Platform (UDOP) leverages AI-driven automation to revolutionize network management and operations. Witness live demonstrations showcasing how UDOP's Independent Data Management Path (IDMP) breaks down data silos, enhances security, and reduces network congestion while enabling resilient operations and end-to-end governance enforcement.
Discover the practical applications of OpenGear's platform across standard network engineering scenarios including design, deployment, operations, and troubleshooting through detailed demonstrations of key solutions: Lighthouse Service Portal (LSP), Smart Management Fabric (SMF), and Connected Resource Catalog (CRC). Learn how these tools extend beyond traditional console servers to provide comprehensive network management capabilities with enhanced flexibility and extensibility.
Follow a real-world scenario where Acme Corporation expands its Utah location, requiring integration of new network infrastructure. Observe the complete workflow from network architecture design and JSON data conversion through automated inventory management using CRC, zero-touch provisioning via LSP, and automated configuration of connected devices including Cisco routers. See how the system reconciles deployed devices with reference designs and handles operational tasks such as vulnerability audits, CVE checking, and automated report generation.
Examine advanced log analytics capabilities and early-stage AI implementation for network troubleshooting, including identification of potential issues like spanning tree loops through intelligent log data analysis. Understand the system's flexibility in AI model integration, including compatibility with private AI systems, while recognizing current development limitations in distinguishing between normal network behavior and actual anomalies.
Gain insights into the future of network automation and the potential of intelligent systems to streamline operations while enhancing security through proactive, agentic AI implementation in production environments.
