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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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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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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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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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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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splunk

Talk to Your Logs: LLM-Powered Chat UI in DSDL 5.2.3

Feb 27, 2026 By Huaibo Zhao In Splunk
We are excited to announce the release of the Splunk App for Data Science and Deep Learning (DSDL) version 5.2.3. Since 2018, DSDL has served as an innovation hub for custom AI integrations within Splunk. In 2025, the release of DSDL 5.2.0 introduced customizable Large Language Model (LLM) integrations, bringing Retrieval Augmented Generation (RAG) and Agentic AI workflows to Splunk users.
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[Webinar] Conquering the Complexity of Self-Hosted Apps with Agentic AI SRE

Feb 26, 2026 By Komodor In Komodor
Most enterprise SaaS products, like Komodor’s Autonomous AI SRE Platform, require installing a remote agent on the customer’s infrastructure, which varies significantly from one organization to another, in terms of architecture, configurations, permissions, processes, and more. This “unmanaged” model creates major blind spots, making daily operations, observability, debugging, and incident response challenging. When failures occur, limited visibility and bespoke systems make root-cause analysis slow, incomplete, or impossible.
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