AIoT: Why now? And How To?
summary
Claims that industrial AIoT is practical now and lays out concrete tooling and organization: examples include autonomous parking already rolling into public use, autonomous shuttles using backend fleet matching, a smart lawn mower with animal‑aware behaviors, and a smart tightening tool that controls torque and angle across 100 million tightening processes per year while fleet‑level swarm intelligence proposes fixes. A CERN example deploys million sensors on a 27 km collider. Work focuses on MLops and OTA updates, asset preparation blueprints, and combining agile cloud teams with safety‑conscious embedded engineering.
AI-written summary · about
chapters (14)
- 0:00Intro
- 0:27Why now and how to
- 2:30Awesome striving
- 3:58Smart connected lawn mower
- 4:28Smart connected tightening tool
- 5:48Large Hadron Collider
- 7:28Best Practices Framework
- 8:57AI Perspective
- 9:30Challenges
- 11:27Procurement and sourcing
- 13:00Beyond software and hardware
- 14:23Asset preparation
- 16:09Bosch
- 18:37Why now
related talks
26mAI will drive the industrial IoT to the cloud
29mFrom Data to Decisions: How IoT and Agentic AI Are Transforming Industry
22mThe AI Frontier: Redefining Industrial Automation
07mAI Infrastructure Transforming Modern Agriculture
31mHow to successfully implement AI in manufacturing
16mEnterprise and industrial AI: The great threat of complacency
23mAI Here & Now
32mMen and Machine: An Artifical Love Affair?
