Abstract: One embodiment for determining a marketing incentive for a user of an electronic device. In one embodiment, a computer processor detects a first electronic device within a retail environment utilizing a second electronic device that also identifies information associated with the first electronic device. In one embodiment, a computer processor determines a behavior associated with the first electronic device based, at least in part, on movement of the first electronic device within the retail environment. In one embodiment, a computer processor identifies data associated with the retail environment that includes information associated with a retailer associated with the retail environment and information associated with the first electronic device. In one embodiment, a computer processor determines a first marketing incentive based, at least in part, on the determined behavior associated with the first electronic device and the identified data associated with the retail environment.

Abstract: A system, method and program product for managing profiles for devices in a network. A computer system is disclosed having a configuration management system for managing configuration profiles for a set of devices within a network, and includes: a boundary definition system that employs a computerized process for defining a plurality of geospatial boundaries; a device manager that employs a computerized process for interfacing with remote agents associated with respective devices to recognize when a device has migrated into a new geospatial boundary; and a profile management system that employs a computerized process for uploading an updated configuration profile to the remote agent in response to the device being migrated to the new geospatial boundary.

Abstract: A computer receives a request for customization of a first data domain, of an organization, to be analyzed. The computer receives selection of the first data domain and a second data domain of the organization, a first data fulfillment element, and a linkage between the first data fulfillment element and one or both of the first data domain and the second data domain. The computer generates an improved data governance policy based, at least in part, on the first data domain, the second data domain, the first data fulfillment element, the linkage, and a characteristic of the organization. The computer identifies one or more differences between a current data governance policy associated with one or both of the first data domain and the second data domain and an improved data governance policy that is associated with one or both of the first data domain and the second data domain.

Abstract: An approach includes a system implemented in a computer infrastructure including a processor. The approach further includes the processor configured to receive dimensionally aware linkages. The approach further includes the processor configured to retrieve aggregated data from a data set. The approach further includes the processor configured to identify at least one affinity cluster related to the dimensionally aware linkages in at least two dimensions and the retrieved aggregated data by performing at least one lookup linkage which matches at least one dimension of the at least two dimensions of the dimensionally aware linkages with the retrieved aggregated data. The approach further includes the processor configured to provide personalized content to a user having same or similar user preferences as the received dimensionally aware linkages based on the identified at least one affinity cluster.

Abstract: A flood warning system and method are described. The system obtains localized flood depth information and, based upon alert parameter information provided by registered users, creates personalized flood alerts for the registered users. The method uses ultrasound derived localized flood depth information and alert parameter information provided by registered users to provide personalized flood alerts to the registered users.

Abstract: A method and system for automatically integrating component logs is provided. The method includes retrieving from a software application, high level log identification values representing transactions executed by the software application. Compiled machine language identification values representing compiled code associated with the software application and the hardware device are retrieved from an agent and a high level log identification value of the high level log identification values is identified. The high level log identification value is associated with an instruction set processed by a central processing unit (CPU). An instruction set identification value is correlated with the compiled machine language identification values. The compiled machine language identification values are converted into decompiled machine language identification values and the decompiled machine language identification values are correlated with log levels associated with the high level log identification values.

Abstract: A dynamic digital shelf system includes an interface for identification of a customer: a digital shelf manager in communication with the interface to: retrieve a store's products and services available according to the store's inventory; retrieve an enriched customer profile of a customer's interests wherein the enriched customer profile is enhanced by big data; retrieve a product to product metadata map; develop a customer insights profile to weight the customer's interests with respect to the store's products and services according to the store's criteria in the product to product metadata map; identify the store's products and services matching the enriched customer profile for products and services using the customer insights profile; and output the identified store's products and services. Included is a display in communication with the digital shelf manager to display the identified products and services output from the digital shelf manager which are personalized to the customer.

Abstract: Aspects of the invention provide for automatically selecting optimal fetch settings for business processes as a function of database query load and relational context by monitoring usage of a data retrieval point with respect to a defined unit of work. A multilayer feed-forward neural network is used to predict, as a function of training sets composed of historical data generated by the monitored usage of the data retrieval point, a future value of a data size of results from an eager fetch setting for the data retrieval point. The eager fetch is automatically revised to a lazy fetch setting in response to determining that the future data size value of the eager fetch setting results is larger than a permissible memory resource threshold.

Abstract: Systems and methods for providing information security in a network environment. The method includes receiving a user selection of a data section recorded on a storage system. The method further includes determining a monitoring routine for the data section. The method further includes determining a physical location at which the data section is recorded in the storage system. The method further includes monitoring the physical location for faults according to the monitoring routine.

Abstract: In an approach for providing a dynamic boundary based approach for monitoring and metering, a processor provisions at least one agent to one or more network accessible resources, wherein the at least one agent is configured to allow for monitoring and metering. A processor provides at least one dynamic boundary for monitoring and metering. A processor receives information captured by the at least one agent provisioned to the one or more network accessible resources based on the dynamic boundary for monitoring and metering. A processor causes the information to be available for use.

Abstract: A system, method and program product for managing profiles for devices in a network. A computer system is disclosed having a configuration management system for managing configuration profiles for a set of devices within a network, and includes: a boundary definition system that employs a computerized process for defining a plurality of geospatial boundaries; a device manager that employs a computerized process for interfacing with remote agents associated with respective devices to recognize when a device has migrated into a new geospatial boundary; and a profile management system that employs a computerized process for uploading an updated configuration profile to the remote agent in response to the device being migrated to the new geospatial boundary.

Abstract: In an approach for delivering customized messages, a computer receives a request to initiate a communication, wherein the request includes a caller and at least one recipient. The computer determines an identifier associated with the caller and an identifier associated with the at least one recipient from the received request. The computer identifies the caller and the at least one recipient based on the corresponding determined identifiers. The computer retrieves data associated with the identified caller and the identified at least one recipient, wherein the data includes personal information, Internet browsing trends, and listening preferences. The computer determines customized messages for the identified caller and the identified at least one recipient based on the retrieved data associated with the identified caller and the at least one recipient. The computer delivers the determined customized messages to one or more of the identified caller and the identified at least one recipient.

Abstract: A method and associated systems for inferring insights from enhanced user input. A computerized messaging system identifies a user operating a mobile, location-enabled, “scribble” device and associates the user or the device with a domain of interest or with other metadata that characterizes the user. When the user enters an ad hoc “scribble” input via the device, the system automatically tags the input with the user's location, with sensory data received from one or more sensor devices, and with ancillary data received from extrinsic data repositories. The system may then consider this ancillary and sensory data in order to identify or infer rules or insights associated with the user and the scribble. These rules may then be used to identify targeted, user-specific steps to perform in response to receiving the scribble, where these user-specific steps accommodate a user preference without exposing confidential user information to a public data repository.

Abstract: Data storage using application storage analytics that: (i) runs a set of application(s) that use a thin provision data storage device for data storage; (ii) determines a set of runtime behavior(s) of the set of applications(s) with respect to use of the thin provisioning data storage device for data storage; and (iii) calculates a runtime representation capacity based on a predetermined over-provisioning ratio and the set of runtime behavior(s).

Abstract: In an approach for providing a dynamic boundary based approach for monitoring and metering, a processor provisions at least one agent to one or more network accessible resources, wherein the at least one agent is configured to allow for monitoring and metering. A processor provides at least one dynamic boundary for monitoring and metering. A processor receives information captured by the at least one agent provisioned to the one or more network accessible resources based on the dynamic boundary for monitoring and metering. A processor causes the information to be available for use.

Abstract: Service agreement performance validation includes receiving a request for access to an application from a client system. The application is hosted by a data center in a network-hosted computing environment. The service agreement performance validation also includes querying a global positioning system receiver for geographic location information of the data center, receiving the geographic location information from the global positioning system receiver, transmitting the geographic location information to the client system, and providing access to the application.

Abstract: A request to monitor a data packet to be transmitted from a first location to a second location over a first network is received. A projected time for the transmission of the data packet from the first location to the second location is determined. Responsive to determining the projected time, whether the data packet arrived at the second location after the projected time plus a variance is determined.

Abstract: Dynamic visualization of big data is provided. Data describing a user is received from at least one of a plurality of data sources. One or more characteristics of the user are determined based, at least in part, on the data describing the user. One or more visual indicators are determined based, at least in part, on the one or more characteristics of the user. A visual representation of the user is presented. The visual representation is based, at least in part, on the one or more visual indicators.

Abstract: Dynamic visualization of big data is provided. Data describing a user is received from at least one of a plurality of data sources. One or more characteristics of the user are determined based, at least in part, on the data describing the user. One or more visual indicators are determined based, at least in part, on the one or more characteristics of the user. A visual representation of the user is presented. The visual representation is based, at least in part, on the one or more visual indicators.

Abstract: For data integration using APIs, a request for data is analyzed to determine a set of functional characteristics and a set of non-functional characteristics expected in the data. A first API entry is selected in a registry of API entries, the first API entry corresponding to a first API of the first data source. The first API entry includes a first metadata corresponding to a first functional characteristic in the set of functional characteristics. The first API is invoked to obtain a first portion of the data, the first portion having the first functional characteristic. Using a second API entry in the registry, a second API is invoked to obtain a second portion of the data. The first portion and the second portion are returned in a response to the request.