Opportunities in The Web3 Data Economy
summary
Ocean Protocol claims a public, permissionless substrate that brings the compute to the data so private models stay behind firewalls and only predictions leave, orchestrated by a decentralized layer. Integrations already target Jupyter/TensorFlow/scikit-learn. Concrete needs include autonomous driving’s ~500 billion miles (Toyota estimates 20 years alone), health models that jump from 100 to millions of samples via federated learning (Connected Life, TU Munich), and retail pilots raising shop margins up to 4x. Beta release is imminent with production following.
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chapters (6)
- 0:00The evolution of tokens
- 2:20The data economy opportunity
- 5:05Bridging data gaps
- 8:32Privacy-preserving compute
- 11:09Real-world use cases
- 15:31Future of the data ecosystem
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