Kerrie Holley

A method for capturing evolving data, comprising observing a data graph, identifying a first entity within the graph, defining a first property of the first entity, and identifying a first data value corresponding to the property and the entity. The method further comprises associating a second entity with the first entity at first data value, and forming a dimension of the first entity with associations to other entities within the graph for different data values of the first property… Show more

A method for capturing evolving data, comprising observing a data graph, identifying a first entity within the graph, defining a first property of the first entity, and identifying a first data value corresponding to the property and the entity. The method further comprises associating a second entity with the first entity at first data value, and forming a dimension of the first entity with associations to other entities within the graph for different data values of the first property. Identifying the first entity comprises identifying a property of the first entity representing a dimension but the property does not relate to other entities through the dimension. Defining the first property comprises identifying an attribute of the first entity that will not change; establishing the attribute as the first property. Show less

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… Show more

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. Show less

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… Show more

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. Show less

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… Show more

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. Show less

An approach for modifying cloud application service levels based upon analysis of documents is provided. The approach performs automated ingestion of documents to determine criticality and needs of certain applications, and develops an understanding of existing cloud environments and service level agreements. The approach may further suggest or automatically reassign applications to the cloud infrastructure to meet the needs of an application.

A location based service and method configured to provide recovery assistance for a misplaced or stolen mobile device. The location based system and method is configured to locate (recover) high value mobile devices.

A location based service and method configured to provide recovery assistance for a misplaced or stolen mobile device. The location based system and method is configured to locate (recover) high value mobile devices using location, presence and other IMS (IP Multimedia Subsystem) based telecommunications network assets. The method includes leveraging location dips performed for other services to drive a recovery process for a mobile device to thereby reduce resource overhead on a location… Show more

A location based service and method configured to provide recovery assistance for a misplaced or stolen mobile device. The location based system and method is configured to locate (recover) high value mobile devices using location, presence and other IMS (IP Multimedia Subsystem) based telecommunications network assets. The method includes leveraging location dips performed for other services to drive a recovery process for a mobile device to thereby reduce resource overhead on a location platform; locating the mobile device using the location dips performed for other services; and sending a notification to a subscriber of the location of the mobile device for recovery of the mobile device. Show less

Security levels are assigned to a shared component. A workflow manager receives a workflow request that corresponds to a plurality of workflow steps. For each workflow step, the workflow manager determines whether the workflow step uses a shared component or an unshared component for execution. If the workflow step uses a shared component, the workflow manager invokes the step, and stores the step and its corresponding security level in a security tracking table. When the workflow manager… Show more

Security levels are assigned to a shared component. A workflow manager receives a workflow request that corresponds to a plurality of workflow steps. For each workflow step, the workflow manager determines whether the workflow step uses a shared component or an unshared component for execution. If the workflow step uses a shared component, the workflow manager invokes the step, and stores the step and its corresponding security level in a security tracking table. When the workflow manager encounters a shared component, the workflow manager uses the security tracking table entries in order to determine a security level to assign the shared component. The workflow manager assigns the determined security level to the shared component, and invokes the shared component to execute the corresponding process step. Show less

Maintaining functionality during component failures is presented. During application registration, a recovery engine generates a recovery plan for the application. The recovery plan includes recovery actions that correspond to each component that the application intends to access. When an application encounters an unavailable component, the recovery engine provides a recovery action to the application which instructs the application how to proceed, such as accessing a backup component. The… Show more

Maintaining functionality during component failures is presented. During application registration, a recovery engine generates a recovery plan for the application. The recovery plan includes recovery actions that correspond to each component that the application intends to access. When an application encounters an unavailable component, the recovery engine provides a recovery action to the application which instructs the application how to proceed, such as accessing a backup component. The recovery engine tracks unavailable components and, when a subsequent application registers that intends to use an unavailable component, the recovery engine provides the subsequent application a recovery action, instructing the subsequent application how to proceed. Show less