On October 21, Chainlink announced a pilot program to create an on-chain database for corporate actions using artificial intelligence (AI) and decentralized oracles. The goal is to solve the issue of fragmented, unstructured data in corporate actions like mergers, dividends, and stock splits. This unstructured data is often difficult to verify, requiring extensive cleaning and costing the financial sector millions annually.

Chainlink’s solution involves pairing AI models with oracles to autonomously convert this off-chain data into digital formats in near real-time. Collaborating with firms like Franklin Templeton, Swift, and UBS, along with blockchain networks like Avalanche and zkSync, the pilot demonstrated how AI and oracles can reduce manual processes, improving efficiency and lowering costs.

This initiative is part of Chainlink's broader effort to enhance institutional financial markets, following recent partnerships to support tokenization and data transparency in digital assets

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