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VMware Edge Network IntelligenceVMware

Proactively optimize client experience with AIOps. Gain insights into end user and IoT device behavior and performance in wireless and wired LAN, SD-WAN, and SASE.

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Product details

Overview

VMware Edge Intelligence is a vendor-agnostic Artificial Intelligence for IT Operations (AIOps) solution designed to enhance the performance, security, and self-healing capabilities of end-user and Internet of Things (IoT) devices at the enterprise edge. By leveraging machine learning algorithms and big data analytics, it processes extensive data from various network, device, and application sources. This approach enables the automatic discovery of devices, establishment of performance baselines, and continuous monitoring for deviations, providing actionable insights for proactive remediation. The solution integrates seamlessly with wireless and wired LANs, SD-WAN, and Secure Access Service Edge (SASE) environments, ensuring comprehensive coverage across the enterprise network.

Features and Capabilities

  • Comprehensive Device Discovery: Automatically identifies end-user and IoT devices across the network, providing a complete inventory for effective management.
  • Performance Baseline Establishment: Establishes performance baselines for each device, enabling the detection of anomalies and deviations from expected behavior.
  • Proactive Issue Detection: Continuously monitors device performance and network interactions to identify potential issues before they impact end-users.
  • Actionable Insights: Delivers detailed insights and recommendations for remediation, empowering IT teams to address issues promptly and efficiently.
  • Seamless Integration: Integrates with existing network infrastructure, including wireless and wired LANs, SD-WAN, and SASE, ensuring minimal disruption during deployment.
  • Scalability: Designed to scale with enterprise growth, accommodating increasing numbers of devices and expanding network environments.
  • Enhanced Security: Monitors for security threats and vulnerabilities, providing alerts and guidance to mitigate potential risks.
  • User Experience Optimization: Focuses on improving end-user experience by ensuring optimal device performance and network connectivity.
  • Cloud-Delivered Analytics: Utilizes cloud-based analytics to process and analyze data, offering real-time insights and reducing the need for on-premises infrastructure.
  • Vendor-Agnostic Approach: Supports a wide range of devices and network configurations, providing flexibility and compatibility across diverse environments.
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