The Pomp Podcast
Dominik Schiener, Co-Founder of IOTA: How DLT Will Make Data Privacy a Reality
- Machine-to-machine transactions will become central to an automated economy where devices directly transact value and data with each other without human intervention.
- IOTA uses Directed Acyclic Graph (DAG) technology instead of blockchain to enable feeless micropayments suitable for IoT devices operating offline or on non-internet protocols.
- Data ownership and monetization will shift from corporate extraction to individual/machine control, allowing cars, sensors, and devices to sell their data and receive payment directly.
- Smart decentralization—where edge devices make local decisions and share insights rather than sending raw data to centralized clouds—preserves privacy while enabling collective intelligence.
- Corporate adoption is accelerating through partnerships with automotive (Jaguar Land Rover), microelectronics, and energy companies seeking to build future business models around machine economies.
- Federated machine learning allows devices to analyze data locally and share only insights, not raw personal information, enabling privacy-preserving AI without centralized data gathering.