Operations | Monitoring | ITSM | DevOps | Cloud

Everyone is excited about AI, but few companies have successfully implemented it. While enthusiasm for generative AI (GenAI) has helped accelerate AI adoption across enterprises, the promises of artificial intelligence have yet to translate into measurable impact on most organizations’ bottom lines. The trouble isn’t the tech — it’s a lack of executive ownership.

Today’s enterprise networks are a far cry from the centralized, predictable infrastructures of the past. Instead, they are sprawling, dynamic ecosystems that stretch across cloud services, SaaS applications, on-premises data centers, distributed branches, and thousands of end users connecting from every imaginable location. This complexity creates a huge challenge for IT and network operations teams: How do you get a clear, real-time view of what’s really happening?

I’ve been in those late-night "war room" calls where, after hours of painstaking work, the team finally resolves a critical outage. The dashboards all turn green, a collective sigh of relief is shared, and the next day’s report highlights a victory: Mean time to resolution (MTTR) was reduced by 15% compared to the last major incident. It feels like a win.