This initiative aims to standardize the collection and distribution of corporate actions data, such as mergers and dividends, which is currently fragmented across various countries.

The project addresses the critical issue of unstructured data formats, like PDFs, which complicate real-time access to corporate actions information.

This novel approach represents a significant architectural milestone in transforming the management and dissemination of corporate actions data within financial markets.

Future phases will focus on integrating existing financial systems with the unified golden records, utilizing Swift messaging standards to enhance industry adoption.

CACEIS supports the initiative's goal of establishing a blockchain-based 'golden source' of information for corporate actions, optimizing processes and reducing errors.

By automating the corporate actions process, the initiative seeks to reduce operational errors and costs, which currently amount to $3-5 million annually for businesses.

Chainlink has launched a groundbreaking AI initiative in partnership with major financial institutions, including Franklin Templeton, Swift, and Euroclear.

The project employs advanced AI models, including OpenAI's ChatGPT 4 and Google's Gemini 1.5 Pro, to convert unstructured data into structured formats.

The initiative has successfully demonstrated the ability to distribute corporate actions data in near real-time across multiple blockchain networks.

Co-founder Sergey Nazarov emphasized that this integration of AI and oracles will create a reliable single source of truth for corporate actions data, significantly enhancing efficiency.

Utilizing Chainlink oracles, the initiative provides real-time access to corporate actions data, thereby minimizing the need for manual reviews.

By leveraging decentralized oracles and AI, Chainlink aims to enhance data availability and accuracy, creating a unified dataset for market participants.