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cloudzero

The three questions every CFO should be asking about AI spend

Jul 23, 2026 By David Aponovich In CloudZero
Uber ran out of its entire 2026 AI budget by April. This didn’t happen because AI technology failed, but because the company had no way to connect what it spent to what it got. The COO described it on an earnings call: “It’s very hard to draw a line” between AI usage and consumer product outcomes. And with that one sentence, we have the CFO problem of 2026.
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cloudzero

Shipped: See what Claude Code actually costs

Jul 23, 2026 By Subash Karki In CloudZero
Your engineers are running Claude Code every day, and every prompt burns tokens you’re paying for. Until now, that spend was hard to see. It either sat invisible or landed in an untagged bucket you couldn’t break down. Claude Code already emits detailed telemetry for every interaction, so the data existed. You just had nowhere to send it that would turn it into a cost.
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pagerduty

3 Things IT Leaders Are Learning About AI-First Operations: Key Takeaways From PagerDuty on Tour 2026

Jul 23, 2026 By PagerDuty In PagerDuty
In December 2025, an AI coding agent at AWS suddenly decided to delete and rebuild an entire production environment, causing a 13-hour service disruption and a PR headache for Amazon. As rapid adoption of AI leads to more high-profile, revenue-impacting incidents, resilience has moved from a technical concern to a board-level financial risk.
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sentry

From 57 bugs to 1, thanks to Seer

Jul 23, 2026 By Dan Mindru In Sentry
I was at the dentist the other day, getting ready for my appointment. The waiting room was pompously decorated. Each chair seemed to be from a different, expensive Danish designer. As I realize I’m about to get charged through the nose, I get a notification from my beloved Mail app. ** ding ** Screenshot of GitHub email notification It’s a new Pull Request on GitHub. This one is different though. I have no idea where it came from!
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Your Prospect Data Is a Pipeline, and Nobody Is Monitoring It

Your Prospect Data Is a Pipeline, and Nobody Is Monitoring It

Jul 23, 2026 By OpsMatters In OpsMatters
Engineering teams have spent a decade learning that data has a shelf life. Metrics go stale. Caches drift. Pipelines break quietly and keep serving results that look plausible until someone checks the source. That is why observability exists as a discipline and not just a dashboard.
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How eDiscovery Review Strengthens Evidence Analysis for Legal Teams

How eDiscovery Review Strengthens Evidence Analysis for Legal Teams

Jul 23, 2026 By OpsMatters In OpsMatters
Legal evidence now lives across emails, chat exports, contracts, spreadsheets, shared drives, and metadata trails. For legal teams, the real challenge is not collecting documents; it is finding the material that can support, weaken, or reshape a case. A disciplined review process turns scattered information into organized evidence that attorneys can trust.
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lightrun

Why Internal Agents Must Be Rebuilt with Runtime Context

Jul 22, 2026 By Gidi Freud In Lightrun
As we entered 2026, enterprises raced to build internal AI engineering agents, automating incident response, code review, and support. The investment was real, but 88% of these pilots never reached production, and teams are now in rebuild mode, trying to understand why. Live runtime validation was the key architectural decision skipped in these v1 agents and it’s still missing from many v2 designs. Agents need to verify their reasoning against production before they act.
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kosli

Building a Control Framework for the AI SDLC

Jul 22, 2026 By Bruce Johnston In Kosli
Since November, Kosli’s own engineering team has been running a live experiment: what happens to code review when the thing generating the code - and increasingly, the thing reviewing it - is an AI, not a person. Alex Kantor, Kosli’s Director of Technology, walked through that experiment in this webinar: what broke, what it cost to fix, and what four “obvious” assumptions in a standard code review control turned out not to hold once you took the human out of the loop.
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3 Things Leaders Must Know About Scaling AI

Jul 22, 2026 By Ivanti In Ivanti
AI is moving faster than ever, but is your governance keeping up? In this video, Brooke Johnson, Ivanti’s Chief Legal Counsel and SVP of People and Security, breaks down the critical gap between AI adoption and responsible scaling. While speed is rarely the issue, trust and accountability are becoming major roadblocks for IT teams. We explore why nearly 70% of IT pros have witnessed AI hallucinations and how unclear ownership can stall even the most advanced AI initiatives.
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