A Large-Scale Data Clean Room Case Study in Japan
summary
Japan is moving privacy law to endorse PETs and confidential computing, and a deployed data clean room handles 40 million users for a Fortune Global 500 telco using Intel SGX for memory encryption, session keys, and no data retention; raw personal data never leaves providers, outputs are statistics or model parameters, and deidentification uses K-anonymization, hashing and differential privacy with remote attestation to verify code; CLI tools integrate Snowflake, Databricks and Azure-hosted enclaves for production AI collaboration.
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chapters (8)
- 0:00Confidential computing in Japan
- 2:05Company introduction
- 4:15Data sharing challenges
- 5:19Clean rooms for privacy
- 7:50Clean room architecture
- 9:39KDDI use case
- 11:05Japan’s regulatory progress
- 13:38Call to action
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