International Business Machines Corporation

Kristina E Jones

Shiju Mathai

Hung Tack Kwan

Jeff L Edgington

Jeffrey Lynn Edgington

Embodiments of the invention provide for a location aware trust based currency exchange. A method for location aware trust based currency exchange includes receiving in a mobile device on behalf of an end user a request to conduct a peer-to-peer currency exchange transaction. A database is then queried for a listing of partners geographically proximate to a location indicated by the request, the listing including both a trust value for each of the partners indicative of a trustworthiness for a corresponding one of the partners and also an exchange rate offered for each of the partners. The listing is then displayed in the mobile device. Finally, in response to the end user selecting one of the partners in the listing, a message is transmitted to the selected one of the partners indicating a desire by the end user to conduct the peer-to-peer currency exchange transaction.

Location aware trust-based peer-to-peer currency exchange

Embodiments of the invention include a method, system and computer program product for the continuous cognitive discovery and management of cloud services in an aggregated distributed application. One method includes receiving a textual specification of cloud service criteria, searching a registry for cloud services corresponding to the textual specification and presenting locating cloud services corresponding to the textual specification. Thereafter, the located cloud services are ranked and presented and one or more of the presented cloud services are selected for deployment and deployed as part of an aggregated distributed application. Thereafter, the registry is searched to locate and rank new cloud services based upon the textual specification, and in response to determining that one of the new cloud services is ranked higher than an existing one of the cloud services already deployed, the determined one of the new cloud services is deployed into the aggregated distributed application.

Continuous cognitive cloud service maximization

Contextualizing vehicle data and predicting real-time driver actions. By unsiloing collected data relating to a driver, the actions of the driver can be predicted and the reasons for variations from the predicted actions can be determined based on the contextualized data.

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Dallas, TX, United States of America

Kristina E Jones