Abstract: Methods and systems for providing an automated virtualized signal marketplace or exchange for signals from distributed data sources for use in advertising. Systems and methods to automatically discover and recommend which of the signals controlled by multiple entities may be most effective toward a given objective associated with advertising campaigns. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they want share signals based upon buyer, price, and other rules, including limitations on signal use; signal buyers determine signal value based upon their objectives.

Abstract: Methods and systems for providing an automated virtualized signal marketplace or exchange for signals from distributed data sources for use in advertising. Systems and methods to automatically discover and recommend which of the signals controlled by multiple entities may be most effective toward a given objective associated with advertising campaigns. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they want share signals based upon buyer, price, and other rules, including limitations on signal use; signal buyers determine signal value based upon their objectives.

Abstract: Systems and methods are provided for object identifier translation using a key pairs platform in a virtualized or cloud-based computing system. A key pair refers to a pair of identifiers held by an entity. Each key pair includes at least one anonymized object identifier. Advantageously, the key pair system protects privacy and provides anonymity for objects by not disclosing the identity of the objects or the underlying data associated with the objects.

Abstract: Methods and systems for quantitative collaborative cognition in open market systems are described herein. Aspects relating to indexing, discovery, attribution, optimization, and forecasting in open market systems are disclosed. The present invention allows for network learning, identification, and discovery of heterogeneous data held remotely by a multitude of participants in a way that protects the integrity of the data. From this data, behavior patterns of people and groups of people spanning data sets and organizational boundaries can be predicted. The data can be monetized by a variety of interested parties without disclosing the identities of parties associated with the data. The time value of data is extended under the methods and systems of the present invention.

Abstract: Methods and systems for managing signals based upon agreements, parameters, and rules governing signal(s) use, including limitations on signal use. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. The signal owner first converts its own underlying data into a “signal” or indicator that represents the data without disclosing it or providing it.

Abstract: Methods and systems for managing signals based upon agreements, parameters, and rules governing signal(s) use, including limitations on signal use. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. The signal owner first converts its own underlying data into a “signal” or indicator that represents the data without disclosing it or providing it.

Abstract: Methods and systems for managing signals by signal owners. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. The signal owner first converts its own underlying data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they wants share signals based upon buyer, price, and other rules, including limitations on signal use. Signal buyers determine signal value based upon their objectives.

Abstract: Methods and systems for providing an automated virtualized signal marketplace or exchange for signals from distributed data sources for use in advertising. Systems and methods to automatically discover and recommend which of the signals controlled by multiple entities may be most effective toward a given objective associated with advertising campaigns. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they want share signals based upon buyer, price, and other rules, including limitations on signal use; signal buyers determine signal value based upon their objectives.

Abstract: Methods and systems for providing an automated virtualized signal marketplace or exchange for signals from distributed data sources that are controlled by a multiplicity of signal sellers or signal owners, including at least one data correlation engine that is operable for processing the signals to generate at least one correlation value relating to a specific objective for signal buyers corresponding to the behavior of the object and/or the activity and/or the event. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they wants share signals based upon buyer, price, and other rules, including limitations on signal use. Signal buyers determine signal value based upon their objectives.

Abstract: Methods and systems for providing an automated virtualized signal marketplace or exchange for signals from distributed data sources that are controlled by a multiplicity of signal sellers or signal owners. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they wants share signals based upon buyer, price, and other rules, including limitations on signal use. Signal buyers determine signal value based upon their objectives.

Abstract: Methods and systems for generating signals or indicators from distributed data sources controlled by a multiplicity of owners are also provided. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. The value of the signal cannot be determined separately from one or more buyers and their objectives. Sellers of signals determine if it wants to share information based upon buyer, price, and other rules.