Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on AIOps, alerting in complex systems and related technologies.

Demo - Selector Platform CoPilot Diagnosis

See how Selector’s AI Copilot accelerates issue diagnosis in real time. In this demo, watch how natural language queries and AI-driven insights help teams quickly analyze incidents, surface root cause, and understand impact - without digging through multiple tools. Instead of manual investigation, Selector guides operators to answers faster, reducing noise and speeding up resolution. Built for network and operations teams who need clarity, speed, and smarter troubleshooting.

Demo - Selector Platform NOC Operator Workflow

See how Selector transforms NOC operations in real time. This demo walks through a typical workflow - from ingesting massive volumes of network and system data to automatically detecting anomalies, correlating events, and pinpointing true root cause. Instead of chasing alerts across siloed tools, Selector delivers a single, intelligent view - reducing noise, highlighting impact, and accelerating resolution.

What is IT incident management? How does agentic ITOps help?

Imagine you’re in the middle of a critical project, and suddenly, your system crashes. Or it’s the middle of the night, and your server goes down, affecting countless users. While no enterprise can avoid all IT incidents, how you handle them can significantly reduce their impact. Fast, effective IT incident management is critical, as major incidents are increasingly costly.

A Bettter Way to Run Network Operations: How Actionable Correlation Eliminates Alert Chaos

Anyone who has spent time in a NOC knows how quickly a routine issue can turn into a scramble. A user in a branch office reports that a critical application is unavailable. Slack starts lighting up, dashboards begin to fill with warnings, and before long several teams are trying to answer the same basic question at once: what exactly is broken, where is it broken, and who owns the next move?

Resolve's Agents of IT podcast - Ep. 17 - Agentic Workflows to Performance Intelligence

In this episode of Agents of IT, Ari Stowe sits down with Geoff McQueen, four-time founder and CEO of Ascendius, to unpack what it takes to navigate AI-driven disruption. Geoff shares a clear framework for where automation is headed, from individual AI use to agent-driven workflows to AI embedded across the business. Most organizations are still early. The real opportunity is in making AI work at the business level.

Why Enterprise AI Demands More Than Just Automation

Based on insights from The Intelligent Enterprise podcast, “The Evolution from Automation to Autonomy” Every couple of weeks, The Intelligent Enterprise podcast steps away from the day-to-day noise of enterprise life to explore big ideas from a fresh perspective. In one recent episode, the focus turned to a question many organizations are still grappling with: What does it really take to build an AI-powered enterprise that works with people, not against them?

Why Alert Fatigue Is Killing Your MTTR

Every minute counts when production systems go down. Yet the average enterprise NOC team receives over 1,000 alerts per day, according to a 2025 study by OpsRamp. Of those, fewer than 5% require human intervention. The rest? They are noise — redundant, low-priority, or symptomatic signals that bury the genuine incidents demanding immediate attention.

Episode 10 - How I Learned to Stop Worrying and Love AI

Are we still in the first chapter of AI, and mistaking it for the whole story? In this episode of The Intelligent Enterprise, host Tom Stoneman zooms out from the headlines to explore where we really are in the AI journey. He’s joined by journalist and independent analyst Joe McKendrick, who has spent decades documenting how emerging technologies reshape business and society. As co-chair of the AI Summit in New York and a senior contributor to Forbes and ZDNet, Joe brings the perspective of someone who understands how these stories unfold over time.

The New Economics of Enterprise AI: Why Small Models Win Where It Matters

For years, progress in AI was equated with scale. Larger models, broader parameter counts, and increasingly complex cloud architectures were treated as signals of advancement. In enterprise operations, however, scale alone does not determine success. Economics does. As AI becomes embedded in operational workflows, organizations are discovering that model size is less important than cost stability under continuous load. AI-driven operations do not run in bursts. They run constantly.