Today, most of the needs of the world community is information, in addition to other urgent needs. Internet data is considered to be the main road that will connect to anyone, anywhere, anytime. Whatever business moves there becomes a second problem. Of course, this is closely related to the fundamental base of a technology device and information system that is no less advanced anyway. Because the brain of the whole series is a higher intelligence management resource of higher computerized technology.
Artificial Intelligent (AI) Data Gap, between rich and poor who own AI requires huge volumes of data that can not be accessed by any company. Data is available, but it is often spread across various industries and consists 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. This can take more problems overall 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. Thoughtful devices, sensors, people, businesses and other technologies, generating huge amounts of data every second. However, unless someone has the resources to use 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. False and Unauthentic Data 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 betting perspective, they need to know where their data comes from. Data Vendors are not always so meticulous. Some are happy as long as they make their money. Consumer Data, therefore, does not always get the original data that depends on their system. Input data is not authentic equal to bad output. This is the case for data-driven business decisions, algorithmic trading, AI / Machine Learning applications, and oracle for smart contracting. If the data is wrong, the consequences can be terrible.
What problems can Quadrant solve?
DataStreamX - The First Creator and User of Quadrant Network DataStreamX (DSX) has been operating data and data brokerage business markets since 2015. It's mission is to release the power of data from the world by facilitating transacting data between buyers and sellers on their platforms. The Quadrant Protocol is a separate project aimed at continuing this mission. DSX will provide development services for Quadrant Protocol. It will support Quadrant networks in building protocols to help users solve real-world problems and to create a foundation of transparency and authenticity in the data economy.
Quadrant aims to build a data economy around the silos used by major data-hoarding companies like Google and Facebook, which in turn reduce their power. Quadrant also aims to address non-transparency issues in the data industry, leading to a lot of scams where companies hide their sources. With transparency promoted in Quadrant, companies will be able to track data sources for compliance purposes, as well as ensure that they get the data they pay and that it is what they want for their application. In addition, Quadrant ensures that all data providers in the value chain receive fair and equitable compensation, since original authors, nicknamed as nurseries, are often ignored when it comes to the profits generated by the data they provide as aggregators or companies.
How does the Quadrant Protocol work?
Quadrant provides an infrastructure that facilitates the exchange of DaaS and AI services between organizations. It enables data vendors to sell their data using smart contract data. 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.
What is the Stamping Protocol?
The stamping protocol is the system used to authenticate data. When the data is produced, the nursery prints the "hash" (fingerprint) data into the Quadrant. This allows the Elons to verify, at the time of consumption, whether the data they receive is in the same conditions as when it was created. Pioneers and Elon can use open source clients to access Quadrant. The guardian must ask permission to join the network. The nursery will pay network fees to brand data in the chain. This cost helps prevent spam from the service and will cover the cost of the master node to create blocks. The cost will vary depending on the volume of transactions on the network. Elons can verify data stamps for free.
Now you have understood how important a data protocol is. Because this is a big reality, not a scaring ghost. So, it can’t be avoided by any businessperson, that you should be involved to invest in this great platform. Plus, that token sale for your investment value conversion takes place in the next few days. There is no other word, because: The Ghost Protocol Is Over!
Team
Road Map
Token Details
Token Name : Quadrant Token
Ticker : eQuad
Total Supply : 1,000,000,000 eQuad
ICO Date : 26 June 2018 – 26 July 2018
ICO Price : $0.05 = 10,782 eQuad
Currencies Accepted : BTC, ETH, Fiat
Min. Purchase : 1 ETH
Max. Limit : -
Bonus : -
ICO Softcap : $3 million USD
ICO Hardcap : $20 million USD
Platform : ERC-20 Standard
Country : Singapore
Whitelist/KYC : Whitelisting process
Restricted Country : USA, Canada, New Zealand, People’s Republic of China, Republic of Korea, Sanctioned Countries, or Participants who fail to successfully pass KYC/AML checks
Useful Links:
Website : https://www.quadrantprotocol.com/
Telegram : https://t.me/quadrantprotocol
Bitcointalk ANN : https://bitcointalk.org/index.php?topic=3676988.0
Twitter : https://twitter.com/explorequadrant
Instagram : https://www.instagram.com/gigtricks/
Linkedin : https://www.linkedin.com/company/quadrantprotocol/
Medium : https://medium.com/quadrantprotocol
Author:
Bitcointalk username : Arwani112
Bitcointalk profile : https://bitcointalk.org/index.php?action=profile;u=1345832
Telegram : https://t.me/yunitango
ETH address : 0x35f9c413483355986B622634B1554f88B9F83cdf