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almaden ai

AlmaIQ brings unparalleled level of efficiency and effectiveness for IT teams using Collective IQ

Mar 26, 2026 By Almaden AI In Almaden AI
AlmaIQ, the intelligent self-service agent for employees just received an incredible boost that expands its role to uniquely help IT teams. Interacting with users through Microsoft Teams, AlmaIQ answers questions about devices and internal processes in natural language. Whereas that intelligence simplified employees lives on the job, it now enables IT teams to interact with Collective IQ at the level of departments, groups, and collections of devices to spot patterns and trends. The overall result: vastly more productive operations and satisfied employees.
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civo

Groq vs. GPUs: The future of AI inference in 2026

Mar 26, 2026 By Jubril Oyetunji In Civo
Back in 2016, Jonathan Ross founded Groq, the AI chip startup, which went on to enter a non-exclusive licensing agreement with NVIDIA for Groq’s inference technology (as part of a $20 billion deal). The name ‘Groq’ is commonly confused with X (formerly Twitter)’s Grok, which was launched in 2023 as a Gen AI chatbot. As demand for real-time AI continues to grow, inference has become one of the most important and expensive parts of the machine learning lifecycle.
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Why This Fortune 500 Chose Agentic AI Over Traditional AIOps

Mar 26, 2026 By FabrixAI Inc In Fabrix
What does real enterprise-ready Agentic AI look like in production? In this video, we break down how a Fortune 500 enterprise used Fabrix.ai’s Agentic AI platform to detect, diagnose, and resolve a critical application issue in just 5 minutes—without moving their data or replacing existing tools. If you're exploring Agentic AI, AIOps, or enterprise automation, this is a must-watch.
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scout

Getting Scout Data Into Your AI Workflow

Mar 26, 2026 By Quinn Milionis In Scout
If you’ve spent any time in developer tooling lately, you’ve probably noticed a pattern: every product is rushing to add a chatbot, an AI summary, or some kind of “magic” button. We get it — it’s tempting. But at Scout, we’ve been deliberately taking a different approach. Instead of building AI into our product first, we’ve focused on making Scout’s data accessible to the AI tools you’re already using.
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cortex

QA, AI, and the return of the adversarial mindset

Mar 26, 2026 By Cortex In Cortex
The best QA engineers are always asking themselves (and others around them) what might break. When engineering teams shifted to agile delivery, that mindset largely moved out of dedicated roles and into the background. Automated testing took over the repetitive work, developers owned quality end-to-end, and velocity improved. What didn't carry over was the habit of looking at a feature and asking how a real user, an edge case, or unexpected load might expose it.
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#054 - From Shiny Objects to FinOps: Taming Cloud Costs in the AI Era with Josh Schlanger (CloudX...

Mar 26, 2026 By Komodor In Komodor
In this episode of the Kubernetes for Humans podcast, we are joined by infrastructure and FinOps expert Josh Schlanger. Drawing on over 15 years of experience across Martech, e-commerce, and health tech, Josh shares why solving core business problems should always take priority over chasing new, "shiny object" technologies.
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cloudzero

Jensen Huang's warning: lead the AI transition - or finance it

Mar 26, 2026 By Erik Peterson In CloudZero
The wrong people got the most attention from Jensen Huang’s comments last week. Huang told the All-In Podcast that he’d be “deeply alarmed” if a $500,000 engineer consumed less than $250,000 in AI tokens annually. Within 48 hours, the discourse collapsed into a compensation debate.
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harness

AI Deployment in Production: Orchestrate LLMs, RAG, Agents | Harness Blog

Mar 26, 2026 By Chinmay Gaikwad In Harness
For the past few years, the narrative around Artificial Intelligence has been dominated by what I like to call the "magic box" illusion. We assumed that deploying AI simply meant passing a user’s question through an API key to a Large Language Model (LLM) and waiting for a brilliant answer.
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harness

LiteLLM Compromise: Securing AI Pipelines from PyPI Supply Chain Attacks | Harness Blog

Mar 26, 2026 By Pranay Shah In Harness
On March 24, 2026, the AI open-source ecosystem was impacted by a critical supply chain attack involving the widely used Python package LiteLLM. Attackers compromised the LiteLLM PyPI distribution pipeline and published malicious versions (notably in the 1.82.7-1.82.8 range), embedding a multi-stage payload designed to steal credentials and execute remote code.
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