Generative AI and IoT, is there a match?
summary
Claims that >90% of AI instances are in IoT and examples using Edge Impulse plus Nvidia Isaac Sim and Omniverse ground the session in specifics: a tiny robot dog with Jetson or Raspberry Pi runs multiple CV models, sends anomalous frames to ChatGPT or a small LLM, and gets text explanations. Demonstrations of synthetic data for glass‑breaking and procedural conveyor‑belt imagery show how training scales, while the concrete pattern of anomaly detection + LLM and the orchestration of edge versus cloud processing answer practical deployment questions.
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chapters (15)
- 0:00Intro
- 0:38Introductions
- 2:00How has AI affected your daily life
- 4:04IoT and AI
- 6:41Use cases
- 9:23The problem with IoT
- 11:22Combining Edge and Cloud Computing
- 12:44Orchestration of Subsidiarity
- 13:40Building vs Buying
- 15:33Training Synthetic Data
- 16:56Nvidia Omniverse
- 18:43Trust
- 21:08Skeptics
- 21:35Regulation
- 23:41Approach to regulations
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