Operations | Monitoring | ITSM | DevOps | Cloud

AI isn’t about replacing engineers. It’s about leverage. The teams that win will be the ones that: Triage incidents faster Correlate signals automatically Reduce manual investigation Automate repetitive operational work In observability, that means asking: AI won’t eliminate expertise, it amplifies it. The real risk isn’t AI taking your job. It’s competitors using AI to operate at a speed and efficiency you can’t match.

What if the biggest risk in the AI era isn't the technology, but waiting for someone else to tell you what to do with it? In this episode of The Intelligent Enterprise, host Tom Stoneman sits down with Karthik Ravindran, General Manager of Enterprise Data and AI at Microsoft, to unpack what it really takes to thrive alongside AI, not in spite of it.

Senior Developer Advocate Nicole van der Hoeven demonstrates how to go from zero to dashboard in a few minutes without using any queries, with the help of Grafana Assistant and the infinity datasource plugin for Grafana. Nicole is using the rawg.io video game database API to visualize games and get recommendations for what to play next!

Most cloud providers think AI is just a hardware problem. They focus on the GPUs, the racks, and the raw compute, but they leave the strategy up to you. At Civo, we do AI differently. We don't just provide the hardware; we guide you through the full life cycle of AI adoption, from initial planning to scaling production workloads. By leveraging best-in-class NVIDIA models and GPUs, we give you the performance to unlock AI at scale without the fear of being bogged down by complexity. It's more than infrastructure, it’s cloud freedom with AI built-in.

Spin up a GPU workload cluster using Konstruct's new GPU cluster templates, deploy a self-hosted LLM, and use it in your organization — all live on stream. This hands-on session shows how shipping AI workloads to GPU clusters is just as easy as deploying to Konstruct physical or virtual clusters, and how open source apps in the GitOps Catalog make it even faster. Walk away knowing how to cut your token spend by running models privately on your own infrastructure.