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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.
Improved monitoring of work-at-home environments requires money, simplified infrastructure, and better IT leadership, an Enterprise Management Associates report says.
Integrating white-box switches and routers into business networks has its challenges, but properly scaled and vetted deployments can save money.
Cloud providers offer their own security, networking, and management-and-orchestration tools that third-party networking software platforms can abstract to make management simpler for enterprise IT teams.
Automation, machine learning and artificial intelligence are becoming critical network-management capabilities as network complexity skyrockets.
Automating network processes can head off issues and speed resolution of problems while cutting the workload on IT pros.
Here’s the factors you need to weigh so you can make a smart decision about the network automation tool that’s best for your organization.
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