From machine to digital services: Pioneering the future of manufacturing
summary
Heidelberger builds a cloud-native, serverless-first data platform in 14 months that connects machines via AWS IoT Core and Kinesis, stores raw chunks in S3 (Athena for SQL), uses Lambda + DynamoDB for a real‑time speed layer, and exposes state through API Gateway. The result handles more than 10,000 assets, ingests 25 million records a day, shows machine state within 2 seconds, cuts ops costs ~50%, and supports ~50 deployments/month after starting with a 3–4 person prototype team.
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chapters (9)
- 0:00Introduction to the session
- 2:44Smart manufacturing vision
- 5:40Key digitalization challenges
- 8:54Heidelberg's business context
- 11:51Pioneering new business models
- 20:40Building the data platform
- 30:12Platform outcomes and expansion
- 35:10Lessons learned
- 42:06Conclusion and closing
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