There are four major problems facing the data economy:
1. The wide spread of AI data between the rich and the disadvantaged;
2. False and non-authentic data everywhere destroys the usefulness of any algorithm;
3. Unsustainable data savings violate the production system when they are offline;
4 Unfair revenue distribution for original data producers.
AI requires an enormous volume of data that is not accessible to any company. Data exist but are often spread across various industries and are of various types. This makes it difficult for small companies to get the diverse volume of data they need. Large companies are much more immune to this problem because they have the resources to collect and store the volume of data needed for their AI activities.
Google, for example, has access to large amounts of data through its own products: conversations and purchase history from Gmail, location history from Google Maps, and mobile activity from the Android OS. He was able to take a much more thorough view as a result of having so many users. Companies like these are those that produce AI innovations on a much larger scale, solving bigger problems and producing better products. Where the problem lies in the ability of others to gain access to the data they need to compete. These are very expensive or are not available for purchase in the required volume. In some cases, the data exists in small fragments contained by entities that do not know what to do with them.
The reality, however, is that there is an awful lot of data out there. People's devices, sensors, people, businesses, and other technology people can think of generating huge amounts of data every second. However, unless someone has the resources to utilize it, the data remains out of reach. What's missing is a solution for organizing and providing this data for everyone. Everyone should be able to achieve the best results of his algorithm and, therefore, produce a better solution for the world.
Project details Quadrant
It is a universal truth that where there is money to be made, people will try to play the system. This is no different in the data economy. Data is easily falsified, copied, and misinterpreted. This makes it difficult for Consumer Data to properly check data when purchasing it from third parties. When purchasing data, Consumer Data wants to follow applicable laws and regulations. They do not want to be unethical in their business practices. Too much is at stake if they have to engage in unethical practices. So from a business perspective, they do not want to pay for data that is not authentic. From a setting perspective, they need to know where their data comes from.
Free data is not sustainable. No entity can continue to generate data over the long term if they are not adequately compensated for it, either directly or indirectly. Regarding data exchanged for monetary compensation - without proper revenue sharing, individuals and businesses will not be able to open their doors and continue providing data if they are not properly compensated. This is very important to keep the data flow diverse and authentic; things like IoT sensors are well maintained. Ultimately, these are the small Data Consumers who suffer the most from losing access to this data stream and may not have access to alternatives. What is needed is a sustainable ecosystem where producers are given an incentive to provide genuine data and buyers are willing to pay for it.
The storm of supply and demand is perfectly developed in the data economy. As more companies develop in-house science and analytic data capabilities (including machine learning and AI), data demand will increase exponentially. On the supply side, smartphone penetration, the deployment of large data capture solutions and the emergence of IoT has resulted in an ever-increasing amount of raw data.
When taken together, the data cake is getting bigger every day. However, it will be a request for 100% of the original data that will grow the fastest. Without it, companies will not be able to achieve the results they need to succeed in a new world driven by this data. Until now, the suppliers have not been able to meet the demand.
The nature of these new data sources is that they are different. Nothing connects them together in a way that they can be easily accessed and then used for power innovation. Data Vendors have not been able to do so - they continue to provide data that is not always reliable, while data producers lack the right incentives.
Quadrant is a blockchain based protocol that enables the access, creation and distribution of data products and services with originality and originality at the core. The data economy is similar to space; uncharted and chaotic. Quadrants serve as blueprints that provide an organized system for decentralized data utilization. This is seen to solve the problems currently facing economic data, such as the widespread AI data access gap between large and small firms; false and inauthentic data that undermines the usefulness of any algorithm; unsustainable data feeds violate the production system when they are offline; and unfair revenue distribution for original data producers.
The purpose of the Quadrant platform, is to develop a blueprint that provides an organized system for decentralized data utilization. Quadrant maps different data sources so new innovative data products can potentially be created to help companies meet their needs. The main feature of this project is the Data Proof of Authenticity, which requires all data to be publicly stamped so that its origin and origin can be verified; Constellations, special intelligent data contracts for different data sources, meant to equalize the playing field, giving everyone access to the data they need, when they need it; and Division of Fair Remuneration and Distribution.
Quadrant's main goal is to create a platform that offers an infrastructure that facilitates the exchange of DaaS and AI services between organizations. This allows vendors to sell their data with the use of smart contracts. Likewise, it allows buyers to purchase data and track their originality and origin through a network stamping data recording system. In turn, it allows DaaS and AI service companies to build new products and services over infrastructure and networks.
The Quadrant protocol is a decentralized data blueprint. This is consumption, processing and storage agnostic. It is designed to work with centralized and decentralized services. The architecture consists of blockchain core Quadrant, clients (Data Producer, Data Consumer and Anchor) and Guardian Nodes. Quadrant will operate on the Proof of Authority consensus mechanism so that it can handle more transactions, operate at lower gas prices, achieve faster transactions and limit the malicious nodes from entering data into the network.
Proof Chains External work will be used as an anchor for security purposes. For now, the Ethereum blockchain will be used for retaining but may be replaced by future public chains if necessary. Quadrant will have the following initial features and services: ∙ Data Stamping Protocol ∙ Stamp Verification ∙ Open Constellation ∙ Network and Client Nodes ∙ Elon Data Upgrades ∙ General Chain Anchors.
A cryptographically safe digital utility token guaranteed by the Quadrant Network (QUAD) is a major component of the ecosystem on the Quadrant Network, and is designed to be used solely on the network. eQuad is a standard counter-standard ERC-20 digital token on the Ethereum blockchain to be sold, and which can be converted into QUAD through a gateway when the Quadrant Network network is finally launched. In this white paper, "eQuad" will refer to a replacement token prior to mainnet launch, and will refer to QUAD after mainnet launch.
As Quadrant develops, new premium features and services can be added which will require QUAD, while others may be sunset. Quadrant is set up to become an independent network, so continuous updates and innovations can be expected .
Quadrant itself is the result of teamwork established by Mike Davie, Quadrant strives to provide their best capabilities in this project. In addition, the team also strives to provide the best benefits and services, to anyone interested in joining the project.
ROAD MAP
Selling tokens, ICO
Quadrant comes in the form of a digital currency called eQUAD. The price of token 1 eQUAD is equivalent to 0.05 USD. The token purchase itself can be done with foreign digial currency such as ETH.
Soft Cap/ Hard Cap:
$20 million USD hard cap (May be updated to peg to ETH), $3 million USD soft cap
Currencies for Buying Token: ETH
Price: $0.05 USD = 1 eQuad (ETH will be pegged the day before sale)
Who Can Participate:
Whitelisting process. No citizens of United States of America, Canada, New Zealand, People's Republic of China, the Republic of Korea and UN Sanctioned Countries, or participants who fail to successfully pass KYC/AML checks
eQuad Supply: 1,000,000,000 eQuad
eQuad Distribution:
40% Crowd-sale, 20% to be held by Company, 20% Stakeholders, 10% Reserve, 10% Team
Type Of Token: ERC-20
If you want to participate in the Token Sale, register on the site https://tokensale.quadrantprotocol.com/
Website: https://www.quadrantprotocol.com/
ETH Wallet Address: 0x92eA6902C5023CC632e3Fd84dE7CcA6b98FE853d