~/talk

Edge AI: Driving Agentic Workflows and Productivity

Talkat droidcon Berlin 2025 · 2025-09-24..09-26· [machine-learning]
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Rugged Android devices run an AI Suite SDK that ships five ready models—barcode localizer, product recognizer, text OCR, feature extractor and shelf locator—and a set of blueprints including a proof‑of‑delivery demo that collapses three manual steps (scan, photo, select) into one automated action. On‑device SLMs power a Zebra Companion trained on customer product and process data to answer inventory and policy questions locally, reducing latency, cost and cloud privacy risk while working in low‑connectivity settings.

AI-written summary · about

  1. 0:00Introduction
  2. 1:04Frontline in Edge AI
  3. 3:37Labor shortage solution
  4. 6:28On-device vs cloud AI
  5. 8:57Agentic apps pillars
  6. 10:00SDK for AI features
  7. 13:33Demo apps and blueprints
  8. 16:23Zebra Companion voice agent
  9. 21:41Partnerships Qualcomm Google
  10. 22:45AI suite and resources
  11. 23:30Agentic AI vision
  12. 28:52Q&A
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