Bringing Digital Twins to Life with Snowflake & Siemens on
summary
Siemens multi‑physics models run as executable digital twins inside Snowflake on AWS, combining Simcenter high‑fidelity models reduced with Simcenter ROM builder into compact FMU‑based runtimes that execute even on edge hardware (Raspberry Pi class). Physics models provide determinism, AI layers correct for traffic/weather/usage patterns, and virtual sensors feed PLCs for closed‑loop control. Live examples include glue‑dispensing, tire‑curing defect detection, geothermal turbine performance and data‑center cooling — deployed with customer proof points and operational improvements.
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chapters (12)
- 0:00Introduction
- 0:45What is a digital twin
- 1:47Executable digital twin
- 2:51Comprehensive vs executable
- 3:33Snowflake and Siemens collaboration
- 4:37AI and physics in digital twins
- 6:23Simplifying Simcenter for edge
- 7:48Virtual sensors and closed-loop
- 9:59Types of digital twins
- 11:02Real-world use cases
- 12:06Joint customer projects
- 13:51Product twin applications
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