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--- Most IT teams have more asset data than they know what to do with: devices, software, contracts, lifecycles, dependencies. The problem was never visibility. It's knowing what to act on. In this video, Matt Beran walks through four AI features inside InvGate Asset Management that are live right now and change how IT teams work with their IT inventory. You'll see how to: Together, these features turn Asset Lifecycle Management and hardware refresh planning from manual lookups into something the system surfaces on its own.

Chris will do anything to stay on the command line... with the Coralogix CLI, you never have to leave the terminal again to answer questions about your telemetry.

AI agents are learning from every interaction. In this Zero Ticket Minute, we explain why trusted knowledge, reliable memory, and strong guardrails are essential for agentic AI and autonomous IT. Watch now and subscribe for more IT news in under a minute.

When a fixed data model doesn't fit your environment, you either work around it or go without. NinjaOne custom fields let you define exactly what data gets tracked — and control who can see, edit, or act on it. In this session, you'll learn how to: Set global defaults that apply consistently across devices and automations Configure role-based access so the right people interact with the right fields Use new permissions to lock down core asset fields Whether you're standardizing data collection across clients or tightening up access controls, custom fields are where NinjaOne starts to fit your workflow instead of the other way around.

Connect with N-able: Instagram: @thisisnable.

Search in Catalog used to mean typing an exact name and hoping. Lead Platform Engineer Keith Zeto walks through the rebuild for this Feature Friday.

High-volume manufacturers—spanning food, beverage, cosmetics, and consumer goods—operate under rigorous regulatory and quality requirements, yet many still rely on manual inspections or outdated technologies to validate packaging date and lot codes. They need a faster, more dependable system to ensure every product leaving the facility is correctly marked. Zebra’s AI OCR vision system combines the power of Aurora Focus software with our NS42 and FS42 smart cameras to deliver a fast, accurate solution.

Grafana AI Observability is our new database and platform for observing AI Agents. Over the past year at Grafana Labs, we built Agents and we needed a way to understand how they are performing, what are the costs associated with them, what's the error rate or time to the first token as well as how they are behaving. Grafana Staff Engineer, Ivana Hučková provides a deep dive demo on how Grafana AI Observability connects our experience building Agents with our experience building observability systems.

Senior Developer Advocate Nicole van der Hoeven explains how we're thinking about observability and AI at Grafana Labs. She talks about how you can use AI with observability across the entire SDLC and the different tools you can use for both AI for observability and observability for AI.

Friday, the last day of AI Week, is all about collaboration. Here's what we're announcing today! Check out grafana.ai for more details on everything we announce this week.