Enterprise technology opinions, analysis, and forecasts from Network World's experts
Private 5G and 6G connectivity could drive major changes in enterprise IT, supporting real-time, distributed process-control activities and enabling applications to empower roving workers who need high-speed access.
Expect Cisco to keep up its momentum in AI infrastructure and secure networking. We might also see a rebound in Cisco's collaboration market share.
Enterprises need to plan for AI agent hosting and network connectivity with flexibility in mind.
AI can enhance network operations, but success depends on having a dedicated budget, improving the quality of network data, building evaluation skills, and getting IT professionals to trust the AI tools they'll be using.
The new generation of Amazon’s Just Walk Out technology taps RFID to expand use cases.
If AI were a bubble, Big Tech wouldn’t be pouring trillions into compute — 2026 will be defined by who controls inference power.
RADIUS didn’t fail — certificate trust did, proving one forgotten root CA can bring modern network access to a full stop.
The value of quantum computing is uncertain, but it clearly has potential and is worth watching.
Network engineering teams struggle to establish an authoritative repository of network data.
IT professionals share their views on the most pressing enterprise technology projects for 2026.
Relying on the cloud or internet can mean accepting some major headaches, but enterprises have survived outages in the past and are willing to bet they can survive them in the future.
P4 lets networks finally break free of rigid hardware, adding custom protocols, real-time visibility and smarter security without waiting on vendors.
Want a future for AI networks? Want to realize the real value of AI? Look for an AI agent approach that empowers the smartphone.
The NFL relies on data, analytics, and cloud technology from AWS to tailor international broadcasts, offer personalized content, streamline scheduling challenges, and enable data-driven safety improvements.
Singapore Sports Hub is deploying a high-density Wi-Fi 7 network with Cisco and M1, unlocking AI-driven operations and next-gen immersive fan experiences.
At its Partner Summit, Cisco highlighted AI readiness, the appeal of a platform approach, and the upcoming Cisco IQ interface for technical support and professional services.
When trying to build a case for workplace AI, enterprises are finding value by embedding AI agents into business intelligence platforms, for example, and by experimenting with AI tools that can perform multi-source analysis and generate multimedia re
At its Ignite event, Palo Alto unveiled security updates that target autonomous AI, the agentic workforce, and quantum readiness.
Cisco's AI readiness report finds AI usage outpaces AI value. Achieving more consistent results with AI starts with leadership and requires strategic investments in infrastructure, governance and skills.
To make cloud or AI projects successful and complete them on time, you need a clear understanding of business goals and technology capabilities, and that understanding needs to be kept current and shared by IT and line-of-business stakeholders.
Tired of chasing ghost outages? This team turned messy network logs into AI-powered insights that spot problems before users even notice.
SD-WAN evolution, mobile integration and AI everywhere were key themes from the Zscaler Zenith Live events in Australia and Japan.
Wi-Fi 6E and 7, SD-WAN and 5G are top areas of network investment for enterprises, according to new research from tech services provider C1.
The next wave of Arista's growth will be fueled by AI networking, where its high-performance gear excels, combined with a push into enterprise campus and WAN environments.
Vendors who told enterprises that AI networking would have a profound impact are proving correct.
Forget smart devices — HomeLM dares to make your entire house an AI that sees, hears and understands everything you do.
Six NFL teams are adding Cisco AI-ready networking and cybersecurity technologies for the 2025 NFL season.
Preparing networks for AI traffic? Don’t neglect network observability. It's not just a technical upgrade, it’s a predictor of success.
When considering how AI should apply to business, there are three distinct categories that enterprises use to classify AI agent applications: embedded, workflow and reactive.
Now that Juniper Networks is part of HPE, how should the combined company position itself and build on its AI assets, including Juniper's Mist and AI-Native networking?
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