How Siemens & Petco drive enterprise transformation with data & AI
summary
Retail and manufacturing companies describe concrete results: a cloud migration that migrated 300–400 TB in 9–14 months and a platform build that replicated 50 ERP systems and 50,000 tables in real time. The stack combines Snowflake with DBT, Streamlit, Snowpark Containers, Kafka, Glue/Lambda, Airflow, SageMaker/Vertex/Bedrock and Looker/MicroStrategy; one customer reports 900,000 queries/year and 500 TB stored and another reports platform scale—800 projects and 2,500 developers—with cost wins and live ML (CLTV, churn, cart completion, cross-sell).
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chapters (9)
- 0:00Introduction to Snowflake
- 8:57Customer introductions
- 11:59Migration journey
- 17:15Data stack overview
- 20:09Key use cases and impact
- 26:17Addressing deployment hurdles
- 33:08AI and machine learning
- 43:54Future data strategy
- 53:02Change management and closing
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