The Mitre Corporation

Robyn J Wade

David Michael Slater

Cj Rieser

Haoyang Haven Liu

Steven Guan

Described are methods and systems to provide an adaptive cognitive analytics platform to a user such that the user's data remains secure while enabling functionality adaptive to the user's needs. In some embodiments, a cognitive analytics application can be installed on the user's mobile device to analyze a plurality of data streams generated by sensors worn by the user. The cognitive analytics application is configured to allow the user to select and download one or more analytics programs from a plurality of vetted analytics programs depending on the user's desired functionality. The cognitive analytics application can be configured to determine the types of analytics program usable by the user based on the data streams available at the user's mobile device. To secure user data and protect the user's data privacy, the cognitive analytics application can prevent the plurality of analytics programs from transmitting monitored physiological data.

Adaptive cognitive analytics platform

Described are systems and methods for securely distributing computational analysis across analytics nodes. In some embodiments, a system includes a plurality of analytics nodes with each analytics node managing access to its own data sources. The system includes an analytics controller configured to interact with a user to generate an analytic request including a selection of one or more analytics and a selection of one or more data sources determined based on the one or more selected analytics. The generated analytic request is transmitted to one or more analytics nodes corresponding to the one or more selected data sources. Each analytics node that receives the analytic request is configured to execute the analytic request to generate a result. The result from each analytics node of the one or more analytics nodes can be transmitted to the user issuing the analytic request.

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Hamilton, VA, United States of America

Robyn J Wade