Systems and methods for executing an incoming transaction in response to a transaction location parameter associated with a plurality of tax treatment values are disclosed. An example system may include a smart wrapper to interpret a transaction request from a user, including a transaction amount value and a cryptocurrency type or a transaction location. The transaction location may be a geographic location, or a transaction jurisdiction. A transaction locator circuit may determine a transaction location parameter in response to the transaction request and, a plurality of tax treatment values corresponding to a plurality of transaction locations and select an available one of the plurality of transaction locations having a favorable tax treatment value. The smart wrapper may also direct an execution of the incoming transaction in response to the transaction location parameter.

Systems and methods for commanding an execution of a plurality of transactions in response to an improved at least one execution parameter are disclosed. An example system may include a controller having a transaction detection circuit to interpret a plurality of transaction request values, and transaction descriptions for a proposed or an imminent transaction, including a cryptocurrency type value and a transaction amount value. A transaction support circuit may interpret a support resource description including at least one supporting resource for the plurality of transactions. A support utilization circuit may operate an expert system configured to use machine learning to continuously improve at least one execution parameter for the transactions relative to the support resource description. A transaction execution circuit may command execution of the plurality of transactions in response to the improved execution parameter.

Systems and methods for predicting a present facility outcome based on historical facility outcomes. An example system may include a production facility with a production task and a controller. The controller may include a facility description circuit to interpret historical facility parameter values and corresponding outcomes. The controller may further include a facility prediction circuit with an adaptive learning system to train a facility production predictor in response to the historical facility parameter values and corresponding outcome values. The facility description circuit may also interpret present state facility parameter values and the facility prediction circuit operates the adaptive learning system to predict a present state facility outcome value in response to the present state facility parameter values. The adaptive learning system may determine input values related to outcome values, remove input values that are unpredictive of outcomes, and determine relationships between the input and output values.

Systems and methods for adjusting a configuration of a facility AI component to produce a favorable facility output value. An example system may include a facility with a core task and a controller. The controller may include a facility description circuit to interpret historical facility parameter values, facility resource profiles, and corresponding historical facility outcome values. The controller may further include a facility prediction circuit to operate an adaptive learning system configured to train a facility artificial intelligence (AI) configuration circuit in response to the historical facility parameter values and the corresponding outcome values. The facility description may also interpret a plurality of present state facility parameter values and the AI configuration circuit may adjust, in response to present state facility parameter values, facility resource profiles and a configuration of a facility AI component to produce a favorable facility output.

A method of enhancing one or more fields of a master database record based on a consumption of one or more data points provided via a third-party data subscription service is disclosed. An aggregated view corresponding to a master database record is accessed. The aggregated view identifies correspondences between the one or more fields of the master database record and the one or more data points provided via the third-party data subscription service. Based on a determination that one or more consumption criteria are met, the one or more data points are consumed and stored in a central database. The one or more fields of the master database record are updated based on the one or more consumed data points. The enhanced master database record is provided via a network to one or more computerized processes associated with one or more consumers of the enhanced master database record.

A data custodian and curation system may store data from a data supplier in encrypted form and may allow users to consume the data when the consumers obtain access to the data through an agreement. The curation system may manage access to the data, even allowing a consumer to use the data as if it were their own, but may track each usage of the data to implement a payment scheme or various usage restrictions. The curation system may encrypt downstream uses of the data and operate as a digital rights management system for the data. The custodian and curation system may operate as a cloud service that may contain encrypted data from many data providers but where the data providers may individually control access to their data in a managed system at any granular level.

Systems and related methods facilitating interactions between a merchant device, a central system and a consumer device are discussed herein. Wallet identifying data may be used to secure messages between the consumer device and the merchant device over a wireless link. For example, the merchant device may include circuitry configured to wirelessly receive the wallet identifying data from a consumer device and to transmit the wallet identifying data to the central system. In response, consumer identifying data associated with the wallet identifying data may be received by the merchant device from the central system. In some embodiments, employee identifying data that identifies an employee may be associated with the consumer identifying data to facilitate consumer assistance and employee payment.

An information processing apparatus includes a receiver and a transmitter. The receiver receives an image associated with attribute information. When detecting a use of the image, the transmitter transmits information related to the use of the image. In a further modification of the invention, the image may be an image corresponding to an object.

The present invention relates to a block-chain-based distributed data storage apparatus and method, and more particularly, to provide a data management apparatus and method for a block-chain-based distributed data storage system, capable of maintaining stability and security of the block-chain technique by applying the block-chain technique to data storage, maximizing efficiency and stability of data storage in a data storage apparatus to which the block-chain technique is applied, being environmentally-friendly because it does not require an excessive computing source in a proof method for storing data, maximizing fairness of storage by providing compensation depending on a contribution level for data storage and managing data storage independently and autonomously without requiring any operator intervention.

A digital content distribution system uses a Digital Rights Management Controller that performs a set of arbitrary tests against the transfer request from one user to another such as user A to user B. Assuming these tests are successful, the DRM sends an encryption key to transferring user A. This encryption key E is taken from a table of encryption key/hash pairs which have been provided to the DRM Controller by an external authority such as the content rights holder. User A encrypts the content using they key provided by the DRM controller and then optionally calculates a hash over the encrypted form of the content E(X) and returns this value to the DRM Controller. On checking the returned hash against the hash from the table the DRM controller knows that user A does indeed have the digital content X in good condition. The DRM Controller then instructs both users A and B that the transfer may proceed. The encrypted form of the content E(X) is transferred from A to B. Once the content transfer has completed B ensures that the received content has been physically written to non-volatile storage (to account for crashes etc. during the next step). B then calculates a hash over the received content and returns this value to the DRM Controller. If this value matches the value previously given then the transfer has been successful and the DRM Controller updates whatever central records are appropriate, while also returning a decrypt key to B to allow it to decrypt the content.