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Real-World Use Cases for Natural Language Copilots

Aug 15, 2025 By Dallon Robinette In Selector
Natural language copilots are one of the most exciting developments in AI for network operations. They allow engineers and operators to query complex environments in plain language rather than memorizing obscure CLI commands or digging through multiple dashboards. But here’s the truth: a copilot is only as good as the AI behind it. Without a purpose-built network LLM, a copilot can’t deliver the accuracy, context, and speed that real-world IT operations demand.
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cloudzero

AI Cost Optimization At Scale: How One CloudZero Customer Manages Spend Across 50+ LLMs

Aug 15, 2025 By David Aponovich In CloudZero
AI adoption isn’t just accelerating, it’s compounding. From GPT-5 to Claude to Llama and beyond, engineering teams are integrating diverse LLMs across products, experiments, and services. And finance teams are now grappling with a new kind of cloud complexity: token-based economics and volatile inference costs, often spread across multi-model, multi-cloud, and multi-region architectures. The modern FinOps stack needs to keep up. CloudZero was built for this moment.
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Cortex MCP set up

Aug 15, 2025 By Cortex In Cortex
Learn how to set up the Cortex MCP in under 5 minutes. The MCP integrates directly into your IDE, giving instant access to Cortex data without leaving your coding environment. It reduces context switching by enabling natural questions about services and teams, and streamlines workflows with real-time data from Cortex, Jira, GitHub, and more.
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Is My Paper Human? The Top 6 AI Checkers for Students to Verify Their Work

Is My Paper Human? The Top 6 AI Checkers for Students to Verify Their Work

Aug 15, 2025 By OpsMatters In OpsMatters
AI detectors are everywhere in classrooms and submission portals. Students need clear, practical guidance that explains strengths and limitations. Use this guide to pick a checker and interpret results responsibly. You will learn how these systems work at a high level. You will also see a realistic look at accuracy, false positives, and appeals. Each tool section ends with a quick verdict for fast decisions.
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How Thundr Uses AI to Create High Quality 1-on-1 Chats

How Thundr Uses AI to Create High Quality 1-on-1 Chats

Aug 15, 2025 By OpsMatters In OpsMatters
People desire honest, interesting, and personal communication in today's fast-paced digital world. Most of the time, traditional online chat services fail to provide users with the depth and connections they desire. Thundr is different from other companies in that it utilizes cutting-edge AI to enhance discussions for both parties. The program makes every connection more engaging than a random chat service by placing a strong emphasis on personalization and user safety. Integrating these features on the platform enables this improvement.
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What is an AI Agent? Understanding the Future of Intelligent Automation

What is an AI Agent? Understanding the Future of Intelligent Automation

Aug 15, 2025 By OpsMatters In OpsMatters
In today's fast-paced digital world, the term AI agent is becoming increasingly common - but what does it really mean? Whether you're a tech enthusiast, a business owner, or just curious about artificial intelligence, understanding AI agents can help you stay ahead of the curve.
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coralogix

Inside the Coralogix AI Center: Solving AI's Silent Failure Crisis

Aug 14, 2025 By Andre Scott In Coralogix
Observability has always answered one core question: Is it running? But in the era of LLMs, autonomous agents, and AI-powered workflows, that’s no longer enough. We need to ask a harder, scarier question: Is it right? And right now, most teams can’t answer that. Let’s fix it. In our last post, “The AI Monitoring Crisis No One’s Talking About,” we outlined why prompt injection, hallucinations, and context drift create invisible failures.
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coralogix

What Is an MCP Server?

Aug 14, 2025 By Andre Scott In Coralogix
Ok MCP server, If you’ve been following AI development lately, you’ve probably heard whispers about “MCP Servers” floating around developer circles. It’s been around a little while now, and I myself have finally gotten round to using it. Boy, do we need to talk about it. MCP (Model Context Protocol) is Anthropic’s open standard that lets AI assistants connect directly to your tools and data sources, not just static documentation or code snippets.
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Getting Started with Grafana Cloud's AI Assistant for Observability

Aug 14, 2025 By Grafana In Grafana
The pace of software delivery in 2025 is unprecedented — cloud-native apps, microservices, and AI-generated code are shipping in days, not months. But one challenge never changes: ensuring reliability and visibility when systems fail. In this video, we explore how the new Grafana AI Assistant brings true, context-aware observability to your stack. Watch as we deploy an open-source Python service with Kafka, Postgres, Kubernetes, and Prometheus then use the AI assistant to instantly generate dashboards, alerts, and reduce un-needed telemetry volume.
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pagerduty

The PagerDuty Vision for AI-First Operations

Aug 14, 2025 By PagerDuty In PagerDuty
Something fundamental needs to change in the way we run operations. Organizations are deploying AI to optimize everything from coding and deployment to resource planning and incident management. But they’re discovering that managing AI-powered systems requires a completely different operational mindset. AI models hallucinate. Data pipelines degrade silently. Algorithms develop bias without warning.
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