Enterprise technology opinions, analysis, and forecasts from Network World's experts
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New IBM LinuxONE 4 Express servers support integrated AI, security operations and workload consolidation.
Enterprises typically have three options: Set up a secondary data center, go with an external DR service provider, or leverage the public cloud for recovery.
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.
Despite prevailing cynicism, many enterprises find their primary IT vendor to be the most trusted source of network transformation insight, helping to drive both strategy and purchasing.
Startup Hatz AI aims to help MSPs offer AI-as-a-service options to their SMB customers by providing AI applications and agents and custom LLMs.
AI usage will surely drive additional network traffic, but for most enterprises it likely won’t require a major overhaul of the entire data center network.
Swapping backup products is risky, so make sure your reasons for the change are ironclad.
AI business applications, enterprise Al network fabrics, and evolving high-speed Ethernet technologies will dominate 2024 directions.
Ransomware that's aimed at backup infrastructure can put critical backup repositories at risk as well as expose a treasure trove of corporate data.
If not VPNs, then what? These three ideas for connectivity might change the network future by rethinking the traditional service provider concept.
Dell claims up to a 200% performance improvement for PowerScale systems.
Enterprises see the potential for AI to benefit network management, but progress so far is limited by AI’s ability to work with company-specific network data and the range of devices that AI can see.
Besides Nvidia, who had a great showing on the list of the world’s most powerful supercomputers? Almost everyone.
Many enterprises want to pursue a unified virtual network strategy, but visibility challenges and pressure to curb cloud costs are complicating 2024 network planning.
Ironing out recovery time objectives (RTO) and recovery point objectives (RPO) is crucial to balancing what stakeholders want and what it will cost to meet those expectations.
With a cloud networking solution that works across multiple providers, network teams can design self-service capabilities that allow cloud and DevOps teams to build and manage networks without compromising security.
Enterprises IT pros who trust the internet as an MPLS VPN alternative say MPLS is more reliable but the difference isn’t worth the cost.
The network is the preferred vector of attack. Make it your prime defense.
Look for genuine value when under pressure to implement hyped technologies such as AI-driven network automation, private 5G, open networking and zero trust.
Working with multiple WAN suppliers can yield more competitive prices, maximize service coverage, and ensure better performance.
Demand for IT talent is far outstripping supply across all regions, and for employers, the need to rapidly identify, attract and hire new talent is more critical than ever. Here’s why employers are focusing on potential employees’ digital experience.
Using generative AI technology for network operations issues can yield results that sound credible but are actually completely wrong.
Snapshots are virtual copies that can rapidly recover data but depending on the approach can have very different performance characteristics.
Enterprise IT teams and MSPs need to iron out the right approach to co-management. Here’s how to make it work.
Enterprises hope to invest in security, operational stability, and better application-delivery performance using technologies that include SD-WAN and AI.
Explainable AI might overcome the distrust that enterprise network engineers have for AI/ML management tools that have the potential to streamline network operations.
Marrying network operations centers with security operations centers can streamline troubleshooting and reduce duplication of effort.
