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cloudzero

The Anti-Zombie, Battle-Tested Guide To AI FinOps: 10 Insights

Oct 15, 2025 By Keith MacKenzie In CloudZero
When CloudZero’s CTO Erik Peterson joined the FinOps Weekly podcast in October 2025, he didn’t hold back. Instead of going on about the usual best practices of AI cost optimization, he posed challenges to how we approach AI spending. From “zombie AI experiments” eating your budget to why you should stop apologizing for using AI, these 10 insights from the podcast are worth considering in how we approach AI FinOps. (Watch the full podcast below and keep reading for more!)
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iOPEX

The Rise of Agentic AI - From Assistance to Action

Oct 14, 2025 By iOPEX Technologies , In iOPEX
Enterprises are prioritizing digital transformation and agility, yet most lack the structural readiness for what's next. When 95% of financial services professionals believe there's little to no risk in delaying system modernization, even as the UK's FCA issued over £319 million in fines for non-compliance in just six months, it's clear many are mistaking surface upgrades for true adaptability.
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nexthink

Rolling Out AI Application with Confidence: How Nexthink's AI Drive + Adopt Makes AI Compliant, Insightful, and Effective

Oct 14, 2025 By Shawn Lazarus In Nexthink
From Microsoft Copilot to ChatGPT, AI applications are quickly becoming everyday workplace tools. But for many organizations, turning on these capabilities isn’t as simple as flipping a switch. Enterprise licenses for AI tools can cost millions, yet few companies can confidently say employees are using them effectively, or safely. The reality is that most AI rollouts start strong but stall fast.
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cloudzero

Could AI Turn Back The Clock On IT Departments?

Oct 14, 2025 By Phil Pergola In CloudZero
I recently wrote about the impending SaaS crisis, driven by companies’ newfound ability to use AI to build software they used to have to buy. I predicted this phenomenon would make it even harder for SaaS vendors to drive growth, and that elite SaaS margins would fall from the mid-70s to the mid-60s as companies leaned more into their data and AI.
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circleci

Building LLM agents to validate LangGraph tool use and structured API responses

Oct 14, 2025 By Muhammad Arham In CircleCI
Transitioning LLM agents from intriguing prototypes to reliable, production-grade solutions introduces a unique and significant challenge: the inherent stochasticity of LLMs. Unlike conventional software, where inputs predictably yield precise outputs, an LLM’s response can exhibit variability even when presented with identical prompts. To ensure the dependability of your LLM agent, you will need a rigorous validation strategy.
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harness

Industry Reports Agree: DevOps is the Key to Unlocking AI's Potential

Oct 14, 2025 By Eric Minick In Harness
Recent industry research shows that AI is accelerating code creation, but having mixed results downstream. They also show that better platforms and pipelines yield better outcomes for teams adopting AI for coding. Every engineering leader I talk to is asking the same questions about AI coding assistants: How much faster can we ship? How much more productive can my developers be? On the surface, the answers look pretty good.
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Break production less with AI code review

Oct 14, 2025 By Sentry In Sentry
Prod is down, the errors feed is on fire, and your code is to blame. You’ve got the info you need to debug, but it would’ve been nice to have before you shipped this mess. In this workshop, we’ll do a complete walkthrough of Sentry’s new AI code review features. This workshop will cover: How Sentry predicts errors to save you from shipping high-impact bugs Using Ai-powered PR review instead of making your teammates search for every typo Getting AI-generated unit tests that cover your changes and catch potential issues.
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