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🎙️Připravte se! 🎙️Jsme nadšeni, že můžeme představit našeho dalšího řečníka, @BrucePon, zakladatele @OceanProtocol, na #PolkadotPulse: Dubai Edition. #OceanProtocolposiluje tokenizovanou AI a data, což umožňuje zpeněžení modelu AI při respektování soukromí. Bruceova cesta blockchainu začala v roce 2013 a nyní utváří toto odvětví. Nenechte si ujít – uchopte své místo https://lu.ma/Polkadot_Pulse_Dubai #Polkadot #data #BitcoinETF $OCEAN $W $SOL

🎙️Připravte se!

🎙️Jsme nadšeni, že můžeme představit našeho dalšího řečníka, @BrucePon, zakladatele @OceanProtocol, na #PolkadotPulse: Dubai Edition.

#OceanProtocolposiluje tokenizovanou AI a data, což umožňuje zpeněžení modelu AI při respektování soukromí.

Bruceova cesta blockchainu začala v roce 2013 a nyní utváří toto odvětví.

Nenechte si ujít – uchopte své místo

https://lu.ma/Polkadot_Pulse_Dubai

#Polkadot #data #BitcoinETF $OCEAN $W $SOL

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We have a great opportunity here to join the @Ocean Protocol community and earn tokens🤖 Ocean Protocol have launched a quest network in Zealy. Everyone can participate and become part of the community. Zealy - zealy.io/cw/oceanprotocol/questboard Details: Website - oceanprotocol.com Twitter - @Ocean Protocol #DataAnalytics #altcoins #BTC☀️ #Quests $OCEAN $ETH #ETHETFS
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In this post, let's take a brief look at how C2D works. Data owners approve AI algorithms to work with their data. Compute-to-Data orchestrates remote computation and data execution to train AI models while maintaining data privacy. 1. Data Upload and Registration: The data owner uploads data to the marketplace and sets access parameters and terms of use. 2. Data processing request: The data consumer selects a dataset of interest and submits a request for a specific algorithm or analysis to be performed on that dataset. Computation Execution: Computations are performed in a secure environment on the trading floor servers, ensuring that data is not transmitted or copied anywhere. 3. Results: The results of the analysis are provided to the data consumer, but the raw data itself remains inaccessible to them. This approach allows data owners to control the use of their data, while ensuring the highest possible privacy and data protection, and monetize their data. This approach will find great application in everyday life, it can be used for research, for example, a pharmaceutical company collects data from patients to develop a more effective drug, but thanks to Compute-to-Data they will get only the necessary information, without personal data of the patient, and the patient will be paid for the use of their data. It can also be used in the sector of finance, science, energy and many others. If you want to know more information, I recommend you to visit the Ocean Protocol website - https://oceanprotocol.com/learn/compute-to-data/. Details: Website - oceanprotocol.com Twitter - @oceanprotocol @Ocean Protocol @SingularityNET @Fetch.ai #DataAnalytics #artificialintelligence #LayerZero #BTC🔥🔥🔥🔥🔥 $OCEAN $BTC $SOL
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Did you know what is Compute-to-Data? In simple words, it is a technology that allows you to interact with data using various algorithms, without actually taking possession of this data. This means that the buyer can get the necessary information, and the seller of data can get remuneration for working with his information asset without the threat of leakage or loss of the data itself. Private data is one of the most expensive information assets, as it can have a positive impact on various kinds of research and business, but interacting with such data is complicated by the high risk of losing that data. It is for this purpose that the Compute-to-Data tool was developed. It is a technological approach used to process data at the point of storage, without the need to move the data to the user or analyst. This approach provides increased security and privacy, as the data does not leave the secure environment in which it is stored. This is especially valuable in areas where data privacy requirements are stringent, such as healthcare, finance or government. What are the features of Compute-to-Data? 1. Data processing at the source: Computational processes take place where the data physically resides, meaning that data owners always retain control of the data. 2. Huge data sets: Data owners can share or sell data without having to move it, which is ideal for very large data sets that are slow or expensive to move. 3. Compliance: European data protection regulations (GDPR) require sensitive data to stay on European soil. C2D makes that easy, since data stays on-prem. Details: Website - oceanprotocol.com Twitter - @oceanprotocol ASI Alliance Twitter - @ASI_Alliance @Ocean Protocol @SingularityNET @Fetch.ai #DATA. #DataAnalytics #altcoins #eth‬ $OCEAN $SOL $W
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Do you know what's Ocean Enterprise Use Cases? Ocean Enterprise extends the functionality of the standard Ocean Protocol by adding a number of powerful tools and features specifically designed for enterprise users. Here are some of the key aspects and benefits of Ocean Enterprise: 1. Secure data sharing and monetisation Ocean Enterprise enables companies to turn their data into a revenue stream while maintaining full control and ownership. The platform provides secure data sharing on user-defined terms, allowing data to be analysed and monetised without the risk of leaking sensitive information or damaging intellectual property. 2. Enhanced collaboration Protecting assets and facilitating cross-industry collaboration are key aspects of Ocean Enterprise. The platform helps break down information silos by expanding partnerships and fuelling innovation. The use of trusted smart contracts and advanced data protection techniques creates the foundation for a secure and open data economy. 3. Marketplace Ocean Enterprise provides access to a global network of data services, anticipating an era where data and artificial intelligence marketplaces will become mainstream. Companies can easily create and deploy their own marketplaces, integrating into the broader ecosystem, facilitating the use of advanced data and AI technologies. 4. Training generative AI models Compute-to-data technology enables AI models to be trained securely directly on corporate infrastructure, utilising rich and previously untapped data sources. This increases the value of data in the decentralised AI economy while ensuring its security. 5. Federated Analytics Ocean Enterprise applies the concept of Compute-to-Data to federated analytics, enabling distributed data to be processed and analysed securely. Details: Website - oceanprotocol.com Twitter - @oceanprotocol @Ocean Protocol @SingularityNET @Fetch.ai #DataAnalytics #artificialintelligence #bitcoinhakving #BTC🌪️ $OCEAN $BTC $SOL
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Didyou heard about Ocean Enterprise? This is a new @Ocean Protocol 's product. Its an enterprise-adapted version of Ocean Protocol that offers a comprehensive blockchain-based data management solution. Unlike the standard version of Ocean Protocol, which is aimed at a wider audience and open communities, Ocean Enterprise offers functionality specifically designed for the needs of large organisations. Designed to provide high data reliability and security, which is critical for large enterprises. Ocean Enterprise is designed to meet stringent corporate requirements and standards, allowing the system to be integrated into existing enterprise IT infrastructures without significant modifications. Includes a range of specialised features that are designed to optimise the handling, analysis and sharing of large amounts of data under heavy load. Enables collective management of data resources, which enhances transparency and co-operation between different departments and even companies. You can check more info here - www.oceanenterprise.io Details: Website - oceanprotocol.com Twitter - @oceanprotocol ASI Alliance Twitter - @ASI_Alliance #ArtificialInteligence #PEPE❤️ #BinanceMegadrop #BTC $BTC $PEPE $OCEAN
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