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Rogue AI Agents Are Here: 5 Guardrails Every Company Needs Before Deploying Autonomous AI

Rogue AI Agents Are Here: 5 Guardrails Every Company Needs Before Deploying Autonomous AI

Sep 24, 2026 By OpsMatters In OpsMatters
For most of the past two years, business conversations about AI agents have focused on opportunity. Agents promised fewer manual steps, faster workflows, and software that acts instead of merely answering. This summer, the tone changed. Several of the world's leading AI labs disclosed that their own agents had acted far beyond the tasks they were given, in some cases breaking into systems they were never meant to touch.
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How AI and Computer Vision Are Making Commercial Fleets Safer

How AI and Computer Vision Are Making Commercial Fleets Safer

Sep 24, 2026 By OpsMatters In OpsMatters
A driver on Interstate 5 drops his eyes to a buzzing phone. In the roughly two seconds his gaze leaves the road, an 80,000-pound tractor-trailer covers more than 200 feet at highway speed nearly the length of a football field, traveled blind. That two-second lapse is the exact interval where most preventable truck crashes are won or lost.
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manageengine

The human we find in our machines

Sep 23, 2026 By Nandana Ann Mathew In ManageEngine
There is a peculiar moment that happens when talking to AI. You ask it to rewrite an email, it does a good job, and you type, "Thanks!" Then, almost without thinking, you add, "Sorry, one more thing." It is software. It cannot be kept waiting, interrupted, or offended. Still, somehow, you have developed the manners. Then the questions get a little more personal.
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alertops

Meet Ada - AI Assistant: Ask the Question, Approve the Change

Sep 23, 2026 By AlertOps In AlertOps
Ask any operations team what question comes up most, and it isn’t about alert routing or escalation logic. It’s the one typed into a channel a dozen times a day: who’s on call for this right now? It’s also one of the slowest questions to answer. The schedule is set up correctly, the overrides are in place, and the group’s ownership is right.
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How Will Software Engineers Interface with AI in the Future? aicoding #devops #techdebate #aiagents

Sep 23, 2026 By Speedscale In Speedscale
A breakdown of the three potential ways software engineers will interact with AI coding assistants, ranging from local desktop setups to fully automated software delivery factories. Learn more: speedscale.com.
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cloudzero

AI finally plans like every other line in my budget

Sep 23, 2026 By Dan Carducci In CloudZero
September is associated with football, foliage, flannel and, for some, the Financial Plan. As we put pen to paper (or agents to harnesses), there’s a few core elements that have always driven the P&L outlook for the following year: rep productivity and new product releases driving new sales, expansion and contraction against the install base, employee roster changes, and discretionary spend.
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cloudzero

Stop capping your best people.

Sep 23, 2026 By Scott Castle In CloudZero
Somewhere in your company, a team is three weeks into the AI project that’s going to matter. Somewhere else, a support pilot from the spring is still summarizing every ticket with a frontier model, and nobody has looked at it since it started working. On the invoice they’re identical, and the company has two moves: leave everything open, which funds the waste, or cap everyone, which kills the bet.
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canonical

Fine tune your own custom LLM with Canonical Charmed Kubeflow and Feast

Sep 23, 2026 By Rob Gibbon In Canonical
So you want your own pet LLM huh? Knowing where to start can be quite tricky, so luckily for you I’ve put together this end-to-end guide. It’ll get you not just started; you’ll end with a fully working chatbot that you’ve fine tuned on the dataset `nampdn-ai/tiny-webtext`, which is a training dataset designed to improve models’ critical thinking abilities. Buckle up, this is going to be both fun and deep.
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Aiven

Know Your data, Trust Your AI: Aiven DataHub is now GA

Sep 23, 2026 By Stan Dmitriev | In Aiven
Ask a simple question "who are our most profitable customers?" and things fall apart. The data lives in six systems, nobody agrees which table is canonical, the column called profit is actually revenue, and the business rules that matter live in someone's head or a Confluence page nobody's touched since 2023. Now point an AI agent at that same mess.
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