Chainlink 與主要金融機構合作，利用人工智慧和區塊鏈改善企業行為數據報告

報告稱，企業行為數據的自動化和標準化可以幫助顯著降低營運效率低下的情況，目前每年因錯誤和手動數據處理而導致企業損失數百萬美元。

Data provider Chainlink (LINK), together with major financial market participants, announced Monday an initiative to enhance the accessibility and standardization of corporate actions data using AI and blockchain technology.

數據供應商 Chainlink (LINK) 與主要金融市場參與者週一宣布了一項計劃，旨在利用人工智慧和區塊鏈技術增強企業行為數據的可近性和標準化。

Chainlink, Euroclear, Swift and Franklin Templeton, among other participants, started an integration to make corporate actions data more widely available and standardized using artificial intelligence and blockchain tech.

Chainlink、Euroclear、Swift 和 Franklin Templeton 等參與者開始整合，利用人工智慧和區塊鏈技術使企業行為數據更廣泛地可用和標準化。

The project aims to address a long-standing challenge: the lack of standardized and real-time data for corporate actions such as mergers, dividends and stock splits. This data, which is used by investors to track changes in their portfolios, is currently fragmented in markets like Europe.

該專案旨在解決一個長期存在的挑戰：缺乏合併、股息和股票分割等企業行為的標準化和即時數據。投資者用來追蹤其投資組合變化的這些數據目前在歐洲等市場是分散的。

"Turning various pieces of disconnected corporate actions data into unified ‘golden records’ that can then be relied on by hundreds of market participants as a definitive, single source of truth is truly a huge step forward," Chainlink co-founder Sergey Nazarov said. "This will help financial markets synchronize faster, reduce errors and cut costs."

Chainlink 聯合創始人謝爾蓋·納扎羅夫(Sergey Nazarov) 表示：“將各種互不相關的企業行為數據轉變為統一的'黃金記錄'，然後數百名市場參與者可以將其作為確定的、單一的事實來源，這確實是向前邁出的一大步。 “這將有助於金融市場更快地同步、減少錯誤並削減成本。”

The initiative's first phase focused on equity and fixed-income corporate actions data in six European countries. Chainlink connected its decentralized oracles with large language models (LLMs) to extract corporate actions data from various sources and transform it into a structured format.

該計劃的第一階段重點關註六個歐洲國家的股票和固定收益公司行為數據。 Chainlink 將其去中心化預言機與大型語言模型 (LLM) 連接起來，從各種來源提取公司行為資料並將其轉換為結構化格式。

The decentralized oracles, which provide data from the outside world to smart contracts on different blockchains, were integrated with LLMs from OpenAI, Google and Anthoptic to extract data from various sources, including press releases, legal filings and financial news articles. This data was then transformed into a structured format, called "Golden Records," that complies with global financial standards.

這些去中心化的預言機將外部世界的數據提供給不同區塊鏈上的智能合約，並與OpenAI、Google 和Anthoptic 的法學碩士集成，以從各種來源提取數據，包括新聞稿、法律文件和財經新聞文章。然後，這些數據被轉換為符合全球金融標準的結構化格式，稱為「黃金記錄」。

Later stages will explore ways to integrate this framework with existing financial systems for broader industry adoption, the report said.

報告稱，後期階段將探索如何將該框架與現有金融系統結合，以供更廣泛的產業採用。

Participants in the initiative include Euroclear, Swift, UBS, Franklin Templeton, Wellington Management, CACEIS, Vontobel and Sygnum Bank. Blockchain ecosystem partners Avalanche (AVAX), ZKsync (ZK) and Hyperledger Besu networks also contributed.

該計劃的參與者包括 Euroclear、Swift、UBS、Franklin Templeton、Wellington Management、CACEIS、Vontobel 和 Sygnum Bank。區塊鏈生態系統合作夥伴 Avalanche (AVAX)、ZKsync (ZK) 和 Hyperledger Besu 網路也做出了貢獻。

"We're excited about the potential of this collaboration to improve the timeliness, accuracy, and efficiency of corporate actions data dissemination," said Francois Masquelier, Euroclear's head of digital initiatives. "This could ultimately benefit a wide range of market participants, including investors, brokers, and custodians."

Euroclear 數位計畫主管 Francois Masquelier 表示：“我們對此合作在提高企業行為數據傳播的及時性、準確性和效率方面的潛力感到興奮。” “這最終可能使廣泛的市場參與者受益，包括投資者、經紀人和託管人。”