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selector

AI Agents in IT Operations: From Concept to Practical Value

Feb 27, 2026 By Dallon Robinette In Selector
Artificial intelligence has been a defining theme in IT operations for nearly a decade. Early AIOps initiatives focused on predictive analytics and anomaly detection, promising to reduce operational overhead and improve system reliability. While these capabilities delivered incremental value, they often fell short of transforming how operations actually functioned.
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ziniosedge

How to Create an AI Chatbot for Your Website?

Feb 27, 2026 By ZiniosEdge In ZiniosEdge
Chatbots are starting to look fairly promising for businesses of all kinds. Customers today are keen to get things resolved faster than ever. Every startup out there is tempted to take the deal. But before jumping onto the bandwagon, you need to do some thinking as to what type of chatbot you must invest in. The decisive question being, which model of conversational AI perfectly aligns with the needs of your organization.
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From RCA to Autonomous Ops: The Future of AI in Observability | Big Tent S3E7

Feb 27, 2026 By Grafana In Grafana
SREs are famously skeptical of AI — so how do you convince them to trust agents in production? In this episode of Grafana’s Big Tent, Tom Wilkie talks with Spiros Xanthos (Resolve AI), Manoj Acharya (Grafana Labs), and Cyril Tovena (Grafana Assistant team) about agent-first observability. They unpack knowledge graphs, LLM reasoning, autonomous debugging, pricing models, and the “Claude Code moment” for observability. Is autonomous production ops closer than we think?
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grafana

The rise of agentic AI in production: Can observability systems run themselves?

Feb 27, 2026 By Grafana Labs Team In Grafana
Sometimes the biggest shifts in technology aren’t about collecting more data — they’re about who (or what) gets to act on it. In this episode of “Grafana’s Big Tent” podcast, host Tom Wilkie, Grafana Labs CTO, is joined by Spiros Xanthos, Founder & CEO of Resolve AI, Manoj Acharya, VP of Engineering for Observability at Grafana Labs, and Cyril Tovena, Principal Engineer on the Grafana Assistant team, to discuss agentic AI in observability.
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logicmonitor

Why Evidence-Backed RCA in Edwin AI Starts With Logs

Feb 27, 2026 By Margo Poda In LogicMonitor
A step-by-step look at how Edwin AI uses native LogicMonitor logs, topology, and context to turn root cause analysis from alert-driven inference into evidence-backed investigation. Most root cause analysis today starts with alerts and ends with explanations that sound reasonable but can’t be verified. An alert is fed into a language model, and the output looks like an answer. It often isn’t.
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canonical

Canonical and Ubuntu RISC-V: a 2025 retro and looking forward to 2026

Feb 27, 2026 By Canonical In Canonical
2025 was the year that RISC-V readiness gave way to RISC-V adoption. It’s been quite a journey. What began years ago as early architectural exploration and enablement has matured into real silicon, systems, and deployments. In particular, RVA23 provides a stable and predictable baseline we can align on with our wider ecosystem of partners. At Canonical, we’re committed to making RISC-V a viable option for anyone who wishes to adopt it.
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