Abstract: System of decentralized Zero-Trust services for creating, using and analyzing securely commingled Self-Governing data sets that prevents extraction by any party and unauthorized in contradiction to the Self-Governing need-to-know policies defined by each Publisher. Such an invention enables performance of combinatorial analytics, machine learning or artificial intelligence (AI) or other permitted data usage processes applied to commingled data without exposing the Self-Governing data in any manner contravening the embedded and enforced fine-grained security and governance settings which control how and by whom and in what context each data element can be used.

Abstract: System of decentralized Zero-Trust services for creating, using and analyzing securely commingled Self-Governing data sets that prevents extraction by any party and unauthorized in contradiction to the Self-Governing need-to-know policies defined by each Publisher. Such an invention enables performance of combinatorial analytics, machine learning or artificial intelligence (AI) or other permitted data usage processes applied to commingled data without exposing the Self-Governing data in any manner contravening the embedded and enforced fine-grained security and governance settings which control how and by whom and in what context each data element can be used.

Abstract: System and method of decentralized services to make federated raw data sets owned by a plurality of Publishers Self-Governing for secure sharing and commingling allowing the commingled data to be productively used or analyzed by Subscribers only in an indirect manner that prevents extraction by any party and unauthorized in contradiction to the Self-Governing need-to-know policies defined by each Publisher.

Abstract: System and method of decentralized services to make federated raw data sets owned by a plurality of Publishers Self-Governing for secure sharing and commingling allowing the commingled data to be productively used or analyzed by Subscribers only in an indirect manner that prevents extraction by any party and unauthorized in contradiction to the Self-Governing need-to-know policies defined by each Publisher.

Abstract: Presented are techniques for creating a photo-generated navigable storefront. Such techniques include receiving a images and processing the images through an image matching algorithm. Such images may include, for example, photos taken with a camera. Additionally, the images are tagged with identifier tags in order to associate related or nearby images together. Furthermore, product/service information may be associated with an image such that a selection of a particular image causes the product/service information to be displayed.