About Quadrantprotocol

Quadrantprotocol vast amounts of authentic data are needed to power today’s algorithms, however the current data economy is fraught with problems. There is an ever-widening gap between those with the resources to collect and store their own data and those that do not. The data these have-nots do have access to is often fragmented and of questionable authenticity—the kind of data that produces poor results when fed to algorithms. Part of the reason why the data lacks authenticity is because the suppliers of it are not properly incentivized. Fair revenue distribution does not exist for both data producers and vendors. Without a healthy and transparent data economy, the increasing demand for authentic data will not be met.

Quadrantprotocol aims to solve these problems by providing a blueprint for mapping disparate data sources. It will support proof of data authenticity and provenance via data stamping, the creation of “Constellations” (data smart contracts) for disparate data sources, and fair remuneration and incentive sharing. Data Consumers can trust the authenticity of the data they purchase, “Nurseries” are compensated fairly every time their data is used, and “Pioneers” have the incentive to create innovative Constellations. This new transparent ecosystem ensures that companies get the authentic data they need.

Basic Information

Problems

AI Data Gap

Small companies struggle to create AI innovations because they lack access to the volumes of data their algorithms need.

Unauthentic Data

The data small companies do have access to produces poor algorithm results due to its questionable authenticity.

Unsustainable Ecosystem

Data Producers lack the incentives to provide the volumes of authentic data required because they only get compensated for the initial sale.

Features

Proof of Data Authenticity and Provenance

The foundations of the data economy must be built on trust. Blockchain is the perfect candidate to facilitate this trust because it offers an immutable record of historical activity. Quadrantprotocol will require that all data is publicly stamped so that its origin will always be known. Any stakeholder can learn the provenance of a data feed at any time.

Constellations for Disparate Data Sources

Constellations are envisioned to be the key to bringing together disparate data sources in such a way that they can be used by Pioneers, Elons and other Data Consumers to compete with big firms. Constellations are intended to level the playing field so that everyone has access to the data that they need when they need it, which is projected to inspire a new generation of data scientists to discover revolutionary insights; enable new businesses to form; allow people to build upon data from others instead of recreating the same; give smart people a chance to receive remuneration through combining data sets into valuable data products.

Fair Remuneration and Incentive Sharing

Potentially, Pioneers will no longer have to worry about the manual process of figuring out how much incentive each Nursery deserves when an aggregated data product is sold on the Quadrant network. Through the Constellations of the Quadrant protocol, Pioneers will know exactly which Nurseries contributed what and how much each deserves. These will all be done automatically without the need for intervention by any party. For example, a mobile data Pioneer aggregates data from Singtel, StarHub and M1 and creates a product from it. When an Elon buys the product on the Quadrantprotocol network, the Constellation will automatically share the payment for the product between the parties.

Benefits 

Data Stamping

Quadranprotocol stamp for authenticity, allowing data buyers to trace and have proof of who created the data.

Constellation Creation

Quadrantprotocol dare Pioneers to venture, enabling them to create the first Data Smart Contracts and are deployed to create new data products.

Enriched data and services

Quadrantprotocol empower the brightest minds to work on creating Mega Constellations – new products and services on top of Quadrant.

Technology

The Quadrantprotocol is a decentralised data blueprint. It is ingestion, processing and storage agnostic. It is designed to work with both centralised and decentralised services. The architecture consists of the core Quadrant blockchain, clients and Guardian Nodes. Quadrant will operate on a Proof of Authority consensus mechanism so that it can handle more transactions, operate at a lower gas price, achieve faster transactions and restrict malicious nodes from entering data into the network. An external Proof of Work chain will be used as an anchor for security purposes. For the time being, the Ethereum blockchain will be used for anchoring but it can be replaced by any public chain in the future if needed.

Business Use Case 

Nurseries

Rightful compensation of provided data for every transaction along the value chain.

Pioneers

Be seen as a transparent and trusted supplier by proving ownership of data products.

Elons

Get the freedom to create linkages between disparate sources of data and develop new data products.

Market Strategy

Quadrantprotocol International Data Corporation (IDC) put the value of global big data and business analytics revenue at USD 130.1 billion annually in 2016— a number that is expected to grow to over USD 200 billion by 2020. Companies, especially those working with AI, have proven to have an insatiable appetite for data from an ever-increasing variety of sources. Dresner Advisory Services estimates that some 53% of companies utilised big data for analytics purposes in 2017— an increase of 36% from 2015. These companies are using the data to solve complex problems, detect trends and create new products that they will introduce to the market.

Opportunity

A perfect storm of supply and demand is brewing within the data economy. As more companies develop in-house data science and analytics capabilities, Quadrantprotocol demand for data will accelerate exponentially. On the supply side, smartphone penetration, the deployment of big data capturing solutions and the advent of IoT have resulted in an ever-increasing amount of raw data. When taken together, the data economy pie gets larger each day. However, it will be the demand for 100% authentic data that will grow the fastest. Without it, companies will not be able to achieve the results that they need to succeed in this new, data-driven world.

Token Distribution

Team

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