Inductive methods of data validation for digital simulated twinning through supervised then unsupervised machine learning and artificial intelligence from aggregated data

A non-transitory computer-readable medium comprising program code that, when executed, causes a server comprising a network connection and configured to communicate with a user device to carry out steps of:

• receiving, from a user application of a user device associated with a user, a data set, the data set comprising at least one of:
• one or more details associated with the user received from a user interface of the user application, and one or more records associated with the user retrieved from the user device;
• parsing and sorting the data by topic, and identifying, from sorted data, using at least one multi-dimensional clustering technique, at least one data attribute associated with the user;
• constructing, from the at least one data attribute, at least one non-fungible data token (NFDT) associated with the at least one data attribute;
• constructing, from the at least one data attribute and at least one other data attribute, a digital twin comprising a personal non-fungible data token (PNFDT) associated with the user;
• presenting at least one of the at least one NFDT and the PNFDT to the user via the user application, and receiving a user authorization;
• and
• after receiving the user authorization, accessing a digital marketplace based on the at least one of the at least one NFDT and the PNFDT, and performing at least one transaction, comprising one of:
• selling data associated with the at least one of the at least one NFDT and the PNFDT on the digital marketplace;
• and
• searching the digital marketplace for data matching the at least one of the at least one NFDT and the PNFDT, and determining a reconstruction cost for the at least one of the at least one NFDT and the PNFDT.

A system for digital twin-based asset management, comprising a server comprising a processor, a memory, and a network connection, the server configured to communicate with a user device via the network connection to carry out steps of:

• receiving, from a user application of the user device associated with a user, a data set, the data set comprising at least one of:
• one or more details associated with the user received from a user interface of the user application, and one or more records associated with the user retrieved from the user device;
• parsing and sorting the data by topic, and identifying, from sorted data, using at least one multi-dimensional clustering technique, at least one data attribute associated with the user;
• constructing, from the at least one data attribute, at least one non-fungible data token (NFDT) associated with the at least one data attribute;
• constructing, from the at least one data attribute and at least one other data attribute, a digital twin comprising a personal non-fungible data token (PNFDT) associated with the user;
• presenting at least one of the at least one NFDT and the PNFDT to the user via the user application, and receiving a user authorization;
• and
• after receiving the user authorization, accessing a digital marketplace based on the at least one of the at least one NFDT and the PNFDT, and performing at least one transaction, comprising one of:
• selling data associated with the at least one of the at least one NFDT and the PNFDT on the digital marketplace;
• and
• searching the digital marketplace for data matching the at least one of the at least one NFDT and the PNFDT, and determining a reconstruction cost for the at least one of the at least one NFDT and the PNFDT.