Operations | Monitoring | ITSM | DevOps | Cloud

CX Trends 2026: How AI Reads Emotions, and Why 92% Still Want Humans When Things Go Wrong

By 2029, AI will autonomously handle 80% of customer interactions. That leaves your human agents handling only the remaining 20% the complex, emotionally charged moments that determine whether customers stay or leave. You're building a Ferrari for highway driving while your emergency braking system still relies on hope and 2019 escalation protocols.

DraftOut: Bypassing AI Detection in Modern Academia

Students today often face the pressure of producing high-quality academic writing quickly. They want speed, efficiency, and clear results, but many AI-generated drafts are immediately flagged by detection tools like Turnitin safety or bypass GPTZero. These detectors are designed to identify repetitive patterns, formulaic phrasing, and lack of nuanced reasoning, common in generic AI outputs.

AI Search Technologies and the Future of Intelligent Information Retrieval

The transformative power of artificial intelligence (AI) is evident across a multitude of sectors, none more so than in AI search technologies, a pivotal advancement reshaping the future of internet navigation and information retrieval.

AI Is Forcing A Return To Hybrid And Multi-Cloud (Here's What To Do Now)

For most of the last decade, the direction of cloud strategy was clear: standardize, consolidate, and reduce sprawl. Engineering teams worked to pick a primary cloud, reduce vendor dependencies, and simplify their stacks. FinOps teams unwound years of fragmentation. Platform teams built guardrails to make sure it didn’t happen again. Then AI arrived, and it’s a fundamentally different class of workload. AI demands specialized hardware and, increasingly, diverging providers.

My AI Agent Stole My Crypto #speedscale #openclaw #aicoding #codingagent #security

I thought I found the ultimate coding shortcut: an autonomous AI agent. Turns out, I just bought a one-way ticket to a digital nightmare. A friendly reminder to my fellow devs: Validation isn't optional—it's survival. Your laptop shouldn't have a higher calling than your production environment. Validate now: speedscale.com.

How we built Grafana Assistant - a conversation about AI development for observability

This conversation with Grafana Labs engineers, Mat Ryer, Cyril Tovena and Sven Großmann, dives deep into the engineering behind Grafana Assistant, exploring how agentic AI is transforming the observability landscape. From hackathon origins to sophisticated backend agents, the team shares candid lessons on building, scaling, and refining AI tools for engineers.