USE CASES

Blockchain Transaction

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Challenges

The blockchain revolution has just started to transform fintech. Developments such as crypto-currencies are based on the transparency and lack of need for an intermediary that blockchain provides. However, as with any system involving monetary transactions, two key factors are security and trust.

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Opportunity

LogicPlum automated machine learning can be used to create algorithms that effectively detect anomalies in the sequences of transactions, identifying potential theft, fraud, and illegal actions passing through blockchain.

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Why LogicPlum

LogicPlum’s platform provides the right tool to quickly build algorithms that can detect vulnerable spots by using multiple sources of data and a variety of algorithms. Early detection of these potential threats permits preventive measures and increased security.

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