.@NeiroOnEthereum has adopted the #Chainlink standard.
Chainlink Price Feeds support secure markets around the NEIRO token on @ethereum and CCIP enables secure cross-chain token transfers across @base and Ethereum.
.@OrderlyNetwork has adopted the #Chainlink standard on @arbitrum to support secure markets around its newly launched ORDER token.
How Chainlink Price Feeds provide the tamper-proof data needed to build a reliable DeFi ecosystem ↓ https://orderly.network/blog/orderly-chainlink-oracle-price-ORDER
Leading BTCFi protocol @SolvProtocol is adopting the Chainlink Platform.
CCIP, Price Feeds, and Proof of Reserve will enhance the liquidity, utility, and transparency of Solv’s staked Bitcoin assets. https://solvprotocol.medium.com/solv-is-adopting-the-chainlink-platform-to-enhance-the-liquidity-utility-and-transparency-of-e6424e81eb7a
At @sgfintechfest, leaders from @ANZ_AU, @ADDXco, & #Chainlink highlighted their cutting-edge @MAS_sg Project Guardian transaction, which proved how institutions can leverage CCIP for privacy-enabled cross-chain, cross-border interoperability with tokenized assets.
#ChainlinkBuild member @hackless_defi has integrated Chainlink Price Feeds into its security services platform.
The tamper-proof market data provided by Price Feeds enhances Hackless and its ability to instill greater confidence in users navigating DeFi. https://hackless.io/blog/hackless-integrates-chainlink-price-feeds-to-help-secure-its-defi-security
This week, there were 12 integrations of 3 #Chainlink services across 7 different chains: @arbitrum, @avax, @base, Bitcoin, @BNBCHAIN, @ethereum, and @Scroll_ZKP.
New integrations include @CIAN_protocol, @lista_dao, @LorenzoProtocol, @Pumpbtcxyz, @StakeDAOHQ, @trize_io, and @vertex_protocol.
From PDFs to JSON: How Chainlink Is Solving One of the Biggest Problems in Finance
At #Sibos 2024, Swift’s Kelli West described corporate actions as “one of the most complex and costly unstructured data problems in the financial world.”
Our recent industry initiative is set to change that.
Today’s corporate action events—dividends, stock splits, mergers, and more—are typically shared through PDFs and press releases, ultimately fragmented, unstructured data. Managing this data is a messy process that costs institutions millions.
It doesn’t have to. Large language models (LLMs) can easily extract critical data from these PDFs and press releases, reducing the messy manual work required. However, LLMs can sometimes hallucinate.
This is where Chainlink’s decentralized oracle networks (DONs) come in. DONs request data from multiple LLMs and then come to a consensus on it, addressing hallucination risks. Next, they deliver the data in a machine-readable, structured format, i.e., JSON.
But this is just the start. Unstructured data is just one data problem in finance today.
Another is the lack of a single source of truth, which results in firms repeating the same data-cleaning efforts at each step as data is passed from public companies to brokers and other intermediaries and ultimately to investors.
To overcome the lack of a single source of truth, structured data can be stored on blockchains as a unified golden record that everyone from asset issuers to individual investors can easily access via Chainlink.
Not only can this help institutions reduce costs by minimizing reconciliation processes, but it opens up deeper efficiencies and innovation by allowing programmable actions based on corporate actions data to be automated.
Major institutions are expanding their footprint in the tokenized economy.
See @SergeyNazarov on @fintechf explain how #Chainlink unlocks key opportunities ↓ https://ffnews.com/fintech-tv/ff-virtual-arena/the-real-future-of-digital-assets-chainlink-ff-virtual-arena-337/
"We're able to start leveraging assets in a very different way—liberating them to be used for other functions during trading operations."
Angie Walker joined @Finextra at #Sibos to highlight tokenization use cases she's most excited about: https://www.finextra.com/videoarticle/3193/tokenisation-use-cases-to-be-excited-about
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