Operations | Monitoring | ITSM | DevOps | Cloud

If you’ve ever worked in a loud office, you know the drill: A co-worker’s on a call, someone’s talking about the next Taylor Swift album in the break room, another’s constantly clearing their throat, and the HVAC sounds like a jet engine. It’s loud. Your brain tries to filter it all out, but it’s no use. Then you put on noise-canceling headphones… and suddenly, you can think again.

When distributed teams need network support, traditional approaches often fall short. The difference between a quick remote fix and hours of on-site troubleshooting can make or break productivity for organizations with dispersed infrastructure. Based on feedback from real users on PeerSpot, an enterprise technology buying intelligence platform, Auvik Network Management is changing how IT teams deliver remote support by eliminating common barriers and reducing resolution times.

Network performance challenges can cripple business operations, leaving IT teams scrambling to identify bottlenecks while users experience frustrating slowdowns. Without proper visibility into bandwidth utilization, latency issues, packet loss, and network availability, organizations risk reactive troubleshooting that costs time and productivity.

It’s Monday morning, and a new hire is walking into the office for their first day. Before they can dive into the work, they need access to email, project management tools, cloud storage, and a dozen other SaaS apps their role depends on. IT has already been hard at work behind the scenes, provisioning accounts, assigning permissions, and making sure everything is ready the moment they sign in.

Artificial intelligence (AI) is now embedded in everyday professional workflows — so much so that 46% of employees say they would continue using AI tools even if their organization banned them. The productivity gains are undeniable, but this widespread, unmonitored use of AI also introduces growing risks around data security, compliance, and governance.

AI adoption is progressing at a rapid pace. What started as a trickle of generative tools is now a flood of autonomous agents, custom copilots, and AI-powered SaaS, most of it entering the workplace faster than IT can keep track of.