In this session, discover how synthetic data enables secure, scalable, and explainable data access — even when working with sensitive or siloed datasets.

🎙️ Faris Haddad (AWS) kicks off with a deep dive into data democratization and the critical role of synthetic tabular data in unlocking enterprise use cases — from cloud migration to analytics — without compromising privacy.

🛠️ Sanzio Monti (Swiss Post) follows with a full demo of the open-source Synthetic Data SDK running inside AWS SageMaker:
• Install and run locally
• Encode sensitive customer data
• Train a Generator
• Use conditional generation to correct edge cases
• Generate an interactive HTML report
• Extract real insights — privacy-safe and production-ready

👉 Try it yourself:
Explore our SDK: https://github.com/mostly-ai/mostlyai
Learn more: https://mostly.ai/

#SyntheticData #AWS #SwissPost #DataPrivacy #DataDemocratization #TabularData #ExplainableAI #CloudMigration #OpenSource #DataAccess #AI #PrivacyTech #SyntheticDataSDK