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civo

AI inference vs. training: What they are and how they differ

Jun 4, 2026 By Jubril Oyetunji In Civo
AI inference and training are terms you'd run into if you have been around software engineering or even just scrolled through the news. Both are integral to delivering the AI-powered experiences we have come to expect from many of the applications we use daily. According to McKinsey, by 2030 inference will overtake training as the dominant workload in AI data centers, making up more than half of all AI compute and roughly 30-40% of total data center demand.
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nexthink

Autonomous IT Is Here. Are You Prepared?

Jun 4, 2026 By Sean Malvey In Nexthink
Enterprise IT was built for a more predictable workplace, where support began when an employee reported a problem and IT worked backward from the details they could provide. That model made sense when devices, applications, and ways of working were easier to control. Today, the digital workplace moves too quickly for IT to rely on reported issues alone. By the time a ticket appears, employees may have already lost time, worked around the problem, abandoned the tool, or turned to an unmanaged alternative.
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iFrame Expands AI Infrastructure Offering With Hosted Inference Service for Open-Weight Models

iFrame Expands AI Infrastructure Offering With Hosted Inference Service for Open-Weight Models

Jun 4, 2026 By OpsMatters In OpsMatters
Organizations looking to reduce AI operating costs while maintaining performance are increasingly turning to open-weight models. This trend accelerated throughout 2024 as businesses sought alternatives to expensive proprietary systems and greater control over their AI infrastructure.
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Why AI Evaluation Is Becoming a Business Priority, Not Just a Technical Task

Why AI Evaluation Is Becoming a Business Priority, Not Just a Technical Task

Jun 4, 2026 By OpsMatters In OpsMatters
Artificial intelligence products are evolving at a pace that challenges traditional quality assurance and validation processes. As organizations race to release new AI-powered features, many product teams face the same question: how do they know a system is ready for real-world use? As reported by AI Journal, conversations with product leaders across different sectors reveal a growing focus on AI evaluation as a critical part of product development. Their experiences highlight the challenges of balancing innovation, risk management, customer expectations, and future regulatory requirements.
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dns spy

DNS Spy Now Has an MCP Server. Ask Your AI About Any Domain.

Jun 3, 2026 By DNS Spy In DNS Spy
DNS monitoring should be simple. You want to know if something changed. You want to know if a record propagated. You want to know if a phishing site just went live with your brand name in the domain. But in practice it takes work. You log in to a dashboard. You click through menus. You run a check, copy the output, paste it somewhere else. You repeat that process every time someone on the team asks a question. AI assistants like Claude and ChatGPT could help.
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upsun

How to ship a POC in an afternoon: a Claude Code and Upsun walkthrough for product and product marketing

Jun 3, 2026 By Upsun In Upsun
I have an Upsun project that's nothing but proofs of concept. It's a dashboard, basically. Each POC gets its own tile. Click in, and you land on a page with three tabs. The first tab is a written explanation of what the POC argues. The second tab is the POC itself, with a built-in demo that automates a walkthrough of the feature so the recipient can watch it run without me on the call.
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pagerduty

Scribe Agent updates: no more manual note-taking or lost context

Jun 3, 2026 By Débora Cambé In PagerDuty
This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty Advance Scribe Agent updates (Generally Available) build towards this vision. When a major operational issue hits, there’s always someone drawing the short straw to take on the most thankless job in incident response: scribing the call. Chances are you were already that someone.
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selector

What Enterprise AI Gets Wrong About Usage

Jun 3, 2026 By Dallon Robinette In Selector
AI is moving out of the experimental phase and into the everyday rhythm of work. Teams are no longer using it occasionally for novelty or quick wins, but instead are exploring more robust use cases to investigate issues, answer questions faster, surface context, and help them move through complex workflows with more confidence. That’s the shift that most organizations’ leadership teams have been asking for.
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