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New AI-driven management capabilities aim to provide greater visibility into SD-WAN performance and reduce WAN troubleshooting time.
IT orgs feel less locked into their network management tools, particularly as they look to apply AI/ML to tasks such as intelligent alerting, change management, and capacity management.
At RSA Conference 2024, Cisco announced plans to integrate its XDR platform and Splunk’s SIEM, bolster its Hypershield AI-native security architecture, and add to its Duo access-protection software.
Extreme AI Expert can answer network questions, troubleshoot operations, and create alerts for conditions such as network degradation or Wi-Fi dead spots.
HashiCorp's automation technology will fit into IBM’s Red Hat, watsonx, data security, IT automation and consulting businesses.
Uptime Institute finds networking problems are the root cause of most IT service-related issues, while power is the primary source of data center downtime, and cyberattacks are becoming a significant contributor to outages.
Most enterprises are juggling multiple commercial, open source, and homegrown network automation tools, and few are reporting fully successful automation initiatives.
Juniper’s AI-Native Networking Platform is aimed at unifying its campus, branch and data center networking products with a common AI engine and Marvis virtual network assistant.
Explainable AI might overcome the distrust that enterprise network engineers have for AI/ML management tools that have the potential to streamline network operations.
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