Operations | Monitoring | ITSM | DevOps | Cloud

How Live Monitoring Supports Smarter Decision-Making and Safety

How Live Monitoring Supports Smarter Decision-Making and Safety

Nov 22, 2025 By OpsMatters In OpsMatters
Here's the reality: most businesses don't fail because of small ideas; they fail because warning signs were missed until it was too late. The gap between reacting to problems and preventing them can make or break operations. That's where live monitoring comes in. By combining real-time surveillance with smart analytics, businesses can spot risks before they escalate, protect people and assets, and make informed decisions on the fly. It's not just about watching, it's about anticipating.
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The next era of IT management with ManageEngine: What agentic AI will unlock

Nov 21, 2025 By ManageEngine In ManageEngine
Agentic AI is generating a lot of buzz, but what does it actually do for IT teams? Join us as we showcase how the industry is evolving in the new era. What once took hours or days will soon take minutes—unlocking a new level of productivity and efficiency for IT operations. The foundation of this evolution? AI-driven contextual analytics. Agenda.
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11 Must-Have AI Sales Tools for B2B Operations Management

11 Must-Have AI Sales Tools for B2B Operations Management

Nov 21, 2025 By OpsMatters In OpsMatters
In B2B sales, every interaction, follow-up, and decision matters. Teams are managing more leads, more data, and more tasks than ever before, and keeping everything running smoothly can feel overwhelming. AI helps revenue teams work smarter by taking over routine follow-ups, surfacing actionable insights, and giving managers the information they need to make quick, informed decisions. Below are 11 AI platforms that every B2B operations manager should be familiar with, organized by their primary focus and the benefits they bring to operations.
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Episode 1 - Preparing the workforce for AI | The Intelligent Enterprise

Nov 20, 2025 By Digitate In Digitate
In our first podcast episode of The Intelligent Enterprise, Ricardo Costa, Senior Vice President and Chief Technology Officer at Purolator, gives us his views on how to prepare the workforce for AI. In his role as a technology "translator" connecting business strategies with tech implementations, Ricardo highlighted the importance of translating complex tech concepts into simple, understandable stories and addressing leadership challenges in preparing the workforce for AI, including upskilling and ethical considerations.
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logicmonitor

AI Observability: How to Keep LLMs, RAG, and Agents Reliable in Production

Nov 20, 2025 By Sofia Burton In LogicMonitor
AI observability closes the gap between “something’s wrong” and “here’s what to fix.” If you run AI in production, you might have felt the whiplash. Yesterday, your LLM answered in 300 milliseconds (ms). Today p99 crawls, costs spike, and nobody’s sure if the culprit is model behavior, data freshness, or GPUs stuck at the ceiling. Dashboards light up, but they don’t tell you which issue puts customers at risk. That’s the gap AI observability closes.
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logicmonitor

What Are AI Workloads? Everything Ops Teams Need to Know

Nov 20, 2025 By Sofia Burton In LogicMonitor
AI workloads break every assumption you have about infrastructure management. AI is everywhere. Machine learning-based tools are answering customer service questions, accelerating incident resolution, catching fraudulent transactions, spotting defects on production lines, and powering late-night searches that delve into the random topic that pops into your head right before bedtime. Behind every prediction, response, or generated sentence is massive computing power doing serious, continuous work.
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logicmonitor

AI Monitoring, Explained: Challenges, Core Components, and Why Observability Is the Next Step

Nov 20, 2025 By Sofia Burton In LogicMonitor
Monitoring AI systems isn’t business as usual. Monitoring AI isn’t like monitoring traditional systems. You can’t just track uptime or response times and call it a day. AI models evolve, data shifts, and behavior drifts over time, which means your monitoring has to evolve, too. If you’re running AI workloads in production, you already know this. Your models might look healthy according to your infrastructure metrics, but they’re still making bad predictions.
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Kentik

AI for Good: Securing Networks in the Age of Autonomous Attacks

Nov 20, 2025 By Steve Stover In Kentik
The rise of autonomous AI attacks operating at machine speed demands that network security evolve beyond human capacity and manual processes. Kentik AI Advisor counters this threat by using AI for good, reasoning across full network context to proactively eliminate vulnerabilities and guide immediate, confident defense.
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Cribl

Architecture for the agentic era: How AI will reshape data, security, and observability

Nov 20, 2025 By Nick Heudecker In Cribl
As AI agents move from copilots to autonomous systems, they’re generating and consuming data at unprecedented scale. The result is a new kind of infrastructure pressure — one that’s quietly reshaping how organizations think about data, cost, and control. Across IT, Security, and Observability, leaders are realizing a hard truth: too much data is too costly.
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