Unstructured Data in Global Finance: Solving a Decades-Long Industry Problem With AI, Oracles, and Blockchains

Corporate actions, essential to the functioning of capital markets, are often marred by complexities and inefficiencies due to the lack of a standardized, verifiable data format, leading to costly errors and resource-intensive processes. These actions, including dividends, mergers, and stock buybacks, are communicated through a convoluted network of intermediaries, often resulting in manual processing of unstructured data, leading to significant financial losses and operational delays. To address this, Chainlink, alongside other financial institutions, proposes the use of AI, blockchains, and oracles to create Unified Golden Records (UGRs) — a structured, real-time, single source of truth for corporate actions. By employing large language models to process unstructured data, Chainlink ensures that data is securely and accurately disseminated across blockchain ecosystems, thereby reducing errors, enhancing real-time trade capabilities, and improving overall efficiency. This initiative not only streamlines corporate actions but also sets the stage for broader financial data standardization, promising enhanced transparency and operational efficiency within the financial sector.

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