~/organiser

Opening Remarks

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Survey of where edge is headed with concrete claims and tools: generational gains from analog to internet‑connected controllers, real deployments of occupancy sensing that identifies role, and predictive pump failure for industrial automation that catches faults before they happen. Argues cloud image processing wastes energy and e‑waste, highlights Kubernetes’ datacenter assumptions and projects like KubeEdge and WebAssembly (smaller packages, lower startup latency, cross‑CPU runtimes) as practical alternatives, and notes a hands‑on Raspberry Pi multi‑node Kubernetes cluster demo.

AI-written summary · about

  1. 0:00Event overview
  2. 1:06Edge computing with AI
  3. 3:13Kubernetes edge challenges
  4. 4:17WebAssembly at edge
  5. 5:19Community and open source
  6. 6:44Mask policy and logistics
  7. 8:08Network and engage
  8. 9:12Closing remarks
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