Review on Endor Protocol by Amit Singh
Automated predictions on encrypted data.
Some of the largest companies in the world are swindling billions of dollars a year for one thing data. Data gives these companies insights into what customers want, what the next big thing is and even what they are doing every day. Information scientists stand in the way of mediators, data providers unknowingly being charged a hefty amount for harvesting information that was not often the case.
It pushes mediation and introduces a protocol where these companies can access automated, accurate predictions without the hassle of waiting for an answer. Taking advantage of partners, it even allows data providers to keep their data anonymous while still providing networks with valuable insights. This is a win-win for companies and suppliers.
Pros
- The protocol selects the most relevant behavioral clusters for each prediction regardless of the analysis engine or data source involved in creating these clusters. It automatically optimizes predictions, allowing a prediction to be executed in a completely decentralized, unreliable manner.
- Social physics technology proves this to provide accurate predictions about the top companies. An open protocol enables more democratization with increased orthogonal data and increased accuracy due to shared engine providers.
- Data contributed to the protocol is marked as "public" or "private". “Universal” contributions are compensated and used by engines to create clusters for forecasting. "Personal" data is used only by its owners.
Cons
- Not a single red flag is found on the business model behind this protocol, all verified as the ultimate effective solution to the heavy centralized industry model.
