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Accounts Payable Automation: Building Purchase-to-Pay Workflows That Don't Slow Teams Down

Accounts Payable Automation: Building Purchase-to-Pay Workflows That Don't Slow Teams Down

Sep 28, 2026 By Omar El Bahr In OpsMatters
A $400 laptop request has been sitting in someone's inbox for nine days. Three people need to approve it. One is travelling. One approved it on their phone and it never synced. One doesn't know it exists. Meanwhile, a $40,000 supplier invoice went out last Tuesday. Paid in full. On time. Nobody checked whether the goods ever arrived.
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Ticket Deflection Starts With Your Knowledge Base, Not Your Chatbot

Ticket Deflection Starts With Your Knowledge Base, Not Your Chatbot

Sep 27, 2026 By Omar El Bahr In OpsMatters
Your service desk closed 400 tickets last month. Somewhere between a third and half of them were password resets, VPN questions, licence requests, and "how do I get access to the shared drive." Every one of those had a documented answer. Most of those answers were sitting in a knowledge base that the person raising the ticket either could not find or did not trust.
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manageengine

Why Is GPU Utilization Low During AI Training? 6 Bottlenecks to Check

Sep 26, 2026 By Kaviya Radhakrishnan In ManageEngine
You bought the GPUs to make AI training faster. So why are they sitting idle? When GPU utilization drops during a training run, the obvious answer is to blame the accelerator. Maybe the workload is too small. Maybe the GPU isn't powerful enough. Maybe it's time to add more hardware. But what if the GPU isn't the problem at all? A training workload is only as fast as the infrastructure feeding it.
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hyperping

Hyperping MCP: Run Incidents, Status Pages and Maintenance

Sep 26, 2026 By Leo Baecker In Hyperping
Summarize with ChatGPT Claude The Hyperping MCP server now has 49 tools: 28 that read and 21 that write. An agent connected from Claude Code, Cursor, Codex or another MCP client could already manage monitors, publish a status page incident and schedule maintenance. It can now do most of the rest: declare an incident and page on-call, acknowledge and escalate it, correct what was posted on the status page, create and configure status pages, and reschedule, end or cancel maintenance.
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From Meeting Rooms to the Contact Center Floor: How Krisp Assists Agents on Every Live Call

From Meeting Rooms to the Contact Center Floor: How Krisp Assists Agents on Every Live Call

Sep 26, 2026 By OpsMatters In OpsMatters
Contact centers are where companies do their talking at scale. Thousands of agents, dozens of live calls each per shift, and on the other end a stranger with a problem and a finite amount of patience. A ten-second lookup, repeated across a few million calls a year, is a budget line.
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devart

Database governance in the AI era: Framework, risks and best practices

Sep 25, 2026 By Rosemary Asufi In Devart
AI database governance can get overlooked when teams rush to connect AI tools to production data. IBM’s 2025 research found that 97% of organizations that reported a breach involving an AI model or application lacked proper AI access controls. The risk is easy to see. Give an AI agent too much access and it can expose or alter data in seconds. Feed it poor-quality data and it may produce a confident but incorrect answer.
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GitKraken Insights | AI feels faster. Make sure it is.

Sep 25, 2026 By GitKraken In GitKraken
AI feels faster. Make sure it is. GitKraken Insights shows engineering leaders the real cost, output, and ROI of their AI investment, per tool, per team, per developer. Then it gives every developer their own data and coaching to get more from it. 84% of developers say they feel more productive with AI. Only about one in five can actually measure the impact.* With GitKraken Insights, you can: We run on it ourselves: GitKraken's own engineering org reached 2.53x output in six months.
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harness

AI Writes Code Fast. Can You Trust What Gets Deployed?

Sep 25, 2026 By Nicole Morgan In Harness
AI has solved writing code fast. The new bottleneck is trusting what actually reaches production. Here's what that requires. Based on the DevOps.com webinar "AI Writes Code Fast. Can You Trust What Gets Deployed?" presented by Harness, August 12, 2026. AI has removed the bottleneck in writing software. Code that used to take days now takes minutes. But speed of creation and trustworthiness of what reaches production are two very different things.
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