Introduction
DAVE Alliance is not only a technology alliance, but also an ecological alliance. Adhering to the principle of joint construction of security and intercommunication, it is committed to monetizing data and realizing the value behind, thereby promoting the rapid and healthy development of the data market, and allowing more businesses to achieve better performance.
In DAVE Alliance, each partner serve as a service provider in their own areas of expertise, such as storage, algorithms, computing power, hardware or big-data, etc., and continuously optimize DAVE and promote the construction of global smart city.
What is DAVE Alliance?
Business needs-There are a large number of emerging companies, big data research institutes, and consulting firms that all have need of digitalization, streamlining and blockchain integration, and a large amount of data support is needed to establish and upgrade business model, thus the DAVE Alliance came into being.
Data collection-After voting to join the DAVE Alliance, data is stored locally to ensure data privacy and security, and metadata is shared, opened and exchanged with other members of the alliance, so that big-data as a collective can be fully and effectively used.
Asset management-Members who join the DAVE Alliance need to integrate the PISR database, and access to the database requires other alliance nodes to vote and confirm, and to ensure that the database operation is recorded on chain to ensure that other members of the alliance can see the database operation, to prevent destructive operations from happening. In addition, should one require data backup service, can choose to pay for DAG storage or other related storage providers (such as Filecoin, Huawei Cloud, Sia, Storj).
AI modeling-If computing power is required for calculation and model building in business requirements to improve work efficiency and reduce working time, one can choose to pay for a large amount of transparent, high-quality GPU power (Cytrix, Golem, SONM), and support multiple scenarios AI training.
Data analysis-”Ensure data security and open metadata to build a community together” is the basic principle of DAVE Alliance. If the business needs include model building, one can pay to use the online model building environment in the alliance to achieve interactive online model building, plug-n-play components, offline model training and deployment through federated learning, providing parallel computing capabilities, and can be widely used in graphics rendering and deep learning.
Solution-The services provided by DAVE Alliance members can build a complete Web3 ecosystem, including but not limited to new business logic (online, on-chain, tokenization), new financial products (supply chain financial model, insurance model) , Quantitative transaction model), new academic research topics (medical database, public safety, face recognition), etc.
Alliance Advantage
For the demand side: Have diversified and customized big data service options, and provide massive data and multiple payment methods.
For the crypto projects: instead of being a single service provider, being a part of DAVE alliance means integrating into a complete big-data solution provider, which can radiate more business cases and obtain more traffic and benefits.
Profit Dividend: It is estimated that nearly 200 tradable data products can be traded every year, 40PB of data will be aggregated, and the profit will reach 8 million US dollars. The alliance will distribute 20% of the annual profit to the alliance members.
Alliance Structure
Founding members: 6 members. CyberVein Foundation directors
The first batch of members: 5 members. Participation and contribution in the four major solutions of DAVE is required.
The second batch of members: 7 members. When the phase 2 of members join, fees are required.
Third batch of members: 10 members. When the phase 3 of members join, fees are required.
Voting Mechanism
The initial voting group will be composed of 6 CyberVein Foundation directors, who vote for the first members of the DAVE Alliance. The number of voting groups will increase as new members join. (For example, when recruiting members for the second round, the voting committee will have 11 members, and so on.)
