Just posted a more detailed breakdown.
Topic: From paper to Web3: the future of semantic data (Read 37 times)
Legacy document management remains static, fragmented, and heavily reliant on centralized storage. Critical information is still trapped in paper-based workflows, traditional file servers, and unstructured databases, making automation, verification, and interoperability nearly impossible.
This is why I started researching and developing a new approach: bridging the gap between traditional documents and Web3 through AI-driven structuring and decentralized verification.
Key areas of focus:
AI-powered semantic processing to extract, classify, and enrich unstructured information into machine-readable, self-referencing data
Blockchain-based verification layers to ensure authenticity, auditability, and tamper-proof document histories
Zero-trust, decentralized storage frameworks that remove reliance on third-party intermediaries for data security
Quantum-resistant encryption to future-proof digital documents against emerging cryptographic threats
The goal is transitioning from paper-based inefficiencies to a Web3-native document intelligence ecosystem, where data is structured, verifiable, and autonomously interoperable across networks.
How do you see the role of AI and blockchain in transforming document management into a trustless, Web3-compatible infrastructure?
This is why I started researching and developing a new approach: bridging the gap between traditional documents and Web3 through AI-driven structuring and decentralized verification.
Key areas of focus:
AI-powered semantic processing to extract, classify, and enrich unstructured information into machine-readable, self-referencing data
Blockchain-based verification layers to ensure authenticity, auditability, and tamper-proof document histories
Zero-trust, decentralized storage frameworks that remove reliance on third-party intermediaries for data security
Quantum-resistant encryption to future-proof digital documents against emerging cryptographic threats
The goal is transitioning from paper-based inefficiencies to a Web3-native document intelligence ecosystem, where data is structured, verifiable, and autonomously interoperable across networks.
How do you see the role of AI and blockchain in transforming document management into a trustless, Web3-compatible infrastructure?
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