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Services of interest

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Library: Capgemini Report: Using Blockchain in Data Tokenization – Unlock business intelligence and growth through data at the edge

The Capgemini report explores how financial services organizations can leverage “edge data” – data collected from IoT devices and sensors at the boundaries of networks – to unlock business insights and drive growth. It advocates decentralizing data storage and processing to overcome the constraints of traditional big data approaches.

Key Takeaways:

  • By 2025 over 75% of enterprise data will be edge data. This exponential growth is driven by proliferation of IoT devices and sensors. Financial firms must find ways to capitalize on this data.
  • Edge data resides on user devices creating decentralized storage. Validation techniques like blockchain hashing prove data is unchanged and support encrypted search/computations without moving raw data.
  • Homomorphic encryption allows encrypted edge data to be analyzed, supporting privacy-preserving analytics. It has fraud detection and secure data sharing applications.
  • Federated learning improves AI models by collaborative training on decentralized data sets without central pooling. This enables model refinement across organizations and borders while addressing privacy.
  • Tokenization via blockchain grants access to specific, permissioned data sets. Decentralized data can thus be monetized without centralizing it in one location.

Summary Conclusion:

The report advocates embracing decentralization to tap the potential of edge data through encryption, blockchain, federated learning and tokenization. As data volumes scale exponentially, these techniques create value from data while overcoming limitations of traditional big data approaches.

See the full report for more…

Link to Full Article:: click here

Please note the TDI editorial team uses AI to support the creation of this summary, but all content is reviewed and edited before publication.

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