Components

The Web3Go Data Intelligence Network is poised to revolutionize the way we approach data analysis and decision-making on the blockchain. Its focus on people, data, and AI creates a powerful and dynamic ecosystem that can benefit all participants. The Data Intelligence Network will consist of four core modules that function as

• Data Intelligence (Decision-Making): Provides end-users with real-time data analysis results based on multiple dimensions on and off the blockchain.

• Proof of Equity System (Value): Establishes a fair and just reward and punishment mechanism for all participants in the entire system.

The four modules are:

1. Streaming Data Processing Platform

2. Data Collaboration Platform

3. Reward System

4. Real-Time Iterative Neural Networks

• Streaming Data Processing Platform

  This system is a real-time data processing framework based on a big data architecture that allows for the processing of both on-chain and off-chain data, making it a critical component of the Web3Go Data Intelligence Network. It can handle massive amounts of data and transform it into structured information while supporting real-time computing.

• Data Collaboration Platform

  The system is a data collaboration platform that allows users with different abilities to participate in various data activities, using their professional expertise to improve the network. For example, data analysts can use the tools provided by the platform to process raw on-chain data and generate data dashboards, while annotators can perform tasks such as part-of-speech tagging and word segmentation on off-chain data, and validators can verify the annotated data. The structured on-chain data and validated off-chain data will be sent to the neural network for training to improve its accuracy.

• Reward System

  The system is a blockchain-based reward system that incentivizes the work of participants in data activities through tokens. The system encourages all users to increase the value of the entire network by contributing their labor. For example, if a data analyst provides valuable insights or a regular user provides the validated and annotated corpora to help optimize the network, they will receive token rewards, thus encouraging them to continue contributing to the network.

• Real-Time Iterative Neural Networks

  The system is a real-time neural network responsible for training annotated corpora. It improves accuracy by continuously learning from new data and gradually adapting to market changes and trends. For example, the system can analyze sentiment and public opinions on news and social media, and combine them with real-time on-chain data to better provide decision support for users.

Together, these four modules create a powerful Data Intelligence Network that can handle massive amounts of data, improve accuracy through collaboration and training, and incentivize contributions to increase the network's value. The Web3Go Data Intelligence Network has the potential to revolutionize the way we approach data analysis and decision-making on the blockchain.