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Jira Planner is an AI planning agent in Jira that turns high-level product requirements into ready-to-build plans (requirements, technical specs, and Jira work items) grounded in your actual codebase, architecture, and Confluence context. In this video, you'll see how Jira Planner brings due diligence to the pre-build phase, so engineers and AI coding agents start from a plan that reflects the real code instead of a vague prompt. It's useful for product managers, engineering leads, and developers who want to cut the rework that comes from AI guessing at requirements.

At some point, you have to stop talking about it and start building it. Civo CEO Mark Boost unveils Civo's plan for the UK: 40 edge data centres with a combined gigawatt of capacity, built for low-latency inference and NVIDIA Vera Rubin NVL72, the successor to Blackwell. Mark takes us inside a live digital twin of the rack. There are 72 GPUs wired so tightly together that they behave as a single machine, with so much power that the only answer is liquid in, liquid out. The rack is the computer.

What if your alerts were based on anomalies instead of static thresholds? This short explores how anomaly scores help build more adaptive, reliable alerts that respond to changing system behavior. Resources for Further Learning.