From Data to Decisions: How IoT and Agentic AI Are Transforming Industry
summary
Shows concrete demos: a Looker Studio hookup for an industrial tightening tool demo that streams torque angle and battery data to detect bad tightenings, a private 5G rollout for farm equipment that logs torque for warranty, and work on 650+ networks across 180 countries to guarantee low‑latency, integrity‑preserved telemetry. Discusses using LLMs vs deterministic models, early AI resource management (agent orchestration), digital twins, and where agentic AI actually succeeds or fails in production.
AI-written summary · about
chapters (9)
- 0:00IoT and Agentic AI intro
- 3:15Agentic AI for IoT defined
- 5:02Deterministic models challenges
- 10:41Industrial vs consumer IoT
- 15:21Data integrity and real-time
- 18:10Internal vs partnerships
- 21:42Multi-cloud and open-source AI
- 24:55€10M investment in AI/IoT
- 28:08Closing remarks & Q&A
related talks
22mAIoT: Why now? And How To?
16mEnterprise and industrial AI: The great threat of complacency
22mThe AI Frontier: Redefining Industrial Automation
07mAI Infrastructure Transforming Modern Agriculture
32mMen and Machine: An Artifical Love Affair?
31mHow to successfully implement AI in manufacturing
01mIndustrial AI: Physical & Agentic AI
24mMachine Intelligence gets real
