连锁链接和金融机构：革新公司行动

ChainLink与金融巨头合作，使用区块链和AI简化公司行动处理，每年有可能节省数十亿美元。

Chainlink and Financial Institutions: Revolutionizing Corporate Actions

连锁链接和金融机构：革新公司行动

Chainlink is making waves in the financial world by teaming up with major players to overhaul how corporate actions are handled. This initiative promises to bring efficiency and accuracy to a notoriously complex and costly process.

Chainlink通过与主要参与者合作以大修方式处理公司行动，从而在金融界引起轰动。这项计划有望为臭名昭著的复杂和昂贵的过程带来效率和准确性。

The Corporate Action Conundrum

公司行动难题

Corporate actions, such as dividends, stock splits, and mergers, are essential but incredibly intricate. A recent Citi report highlighted that a single corporate action can involve 110,000 interactions and cost $34 million to process! Globally, the financial industry spends an estimated $58 billion annually on these processes. Clearly, there's room for improvement.

诸如股息，股票拆分和合并之类的公司行动是必不可少的，但非常复杂。 Citi最近的一份报告强调，单一的公司行动可能涉及110,000次互动，并且需要花费3400万美元的处理！在全球范围内，金融行业每年在这些过程上花费约580亿美元。显然，这里有改进的空间。

Chainlink's Solution: Blockchain and AI

ChainLink的解决方案：区块链和AI

Chainlink is tackling this challenge head-on. They've been working with 24 of the world’s largest financial institutions, including SWIFT, DTCC, and Euroclear, to streamline corporate action processing. Their approach involves using a combination of blockchain-based solutions and artificial intelligence (AI) to ingest and validate real corporate action events in multiple languages.

ChainLink正正面应对这一挑战。他们一直在与全球24家最大的金融机构合作，包括Swift，DTCC和Euroclear，以简化公司行动处理。他们的方法涉及使用基于区块链的解决方案和人工智能（AI）的组合来摄取和验证多种语言的真实企业行动事件。

The result? Unified data containers, or "golden records," produced in near real-time. These records are simultaneously distributed to blockchain networks and legacy systems like SWIFT, significantly reducing manual labor and the risk of errors. They use large language models like OpenAI’s GPT, Google’s Gemini, and Anthropic’s Claude, to extract structured data from unstructured corporate action announcements. This data is then published on-chain as unified gold records, creating a single source of truth.

结果？统一的数据容器或“黄金记录”几乎实时生成。这些记录同时分配给区块链网络和旧系统，例如Swift，大大降低了体力劳动和错误的风险。他们使用大型语言模型，例如Openai的GPT，Google的Gemini和Anthropic的Claude，从非结构化的公司行动公告中提取结构化数据。然后将这些数据作为统一的黄金记录在链上发布，从而创建了一个真实的来源。

Near 100% Data Consensus

接近100％的数据共识

Chainlink's Runtime Environment (CRE) validates model outputs, while its interoperability protocol (CCIP) relays data to blockchains like Avalanche and DTCC’s private network. Data attesters cryptographically attest the outputs and contribute to potentially missing data fields. The system has achieved near 100% data consensus across all test events. This level of accuracy and reliability is crucial for financial institutions.

ChainLink的运行时环境（CRE）验证了模型输出，而其互操作性协议（CCIP）将数据传递到雪崩和DTCC的专用网络等区块链。数据证明在密码学上证明了输出，并有助于潜在丢失的数据字段。在所有测试事件中，该系统均达到了接近100％的数据共识。这种准确性和可靠性对于金融机构至关重要。

The Market's Take on Chainlink (LINK)

市场对连锁链接的看法（链接）

While Chainlink is making strides in the financial sector, its native token, LINK, is navigating the choppy waters of the crypto market. Recently, LINK has been trading around $20.71, facing some downward pressure. Technical analysis suggests a need to hold above the $22.00–$23.00 zone to fuel a larger rally towards $26.00–$27.00. Otherwise, further declines may be on the horizon. Keep an eye on that $20.50–$20.70 support range!

尽管ChainLink在金融领域取得了长足的进步，但其本地令牌Link正在浏览加密货币市场的波动水域。最近，Link的交易价格约为20.71美元，面临着一些下降压力。技术分析表明，需要超过$ 22.00– $ 23.00的区域，以促进更大的集会，以达到$ 26.00- $ 27.00。否则，进一步的下降可能即将到来。请密切关注$ 20.50– $ 20.70的支持范围！

Final Thoughts

最后的想法

Chainlink's work with financial institutions to revolutionize corporate actions is a testament to the power of blockchain and AI in solving real-world problems. While the crypto market may have its ups and downs, the underlying technology continues to evolve and find new applications. Who knows, maybe one day we'll all be processing corporate actions with the click of a button, thanks to Chainlink!

Chainlink与金融机构的革新公司行动的合作证明了区块链和AI在解决现实世界中问题方面的力量。尽管加密市场可能有起伏，但基础技术仍在不断发展并找到新的应用程序。谁知道，也许有一天我们将通过单击按钮来处理公司的行动，这要归功于ChainLink！