Abstract: A computer implemented method, apparatus, and computer usable program code for generating customized marketing messages using automatically generated customer identification data. In one embodiment, real-time data for a customer is received from a set of cameras associated with a retail facility to form detection data. The customer is automatically identified using the detection data to form customer identification data. Automatically identifying the customer occurs without human input. A customized marketing message is generated for the customer using the customer identification data.

Abstract: A computer implemented method, apparatus, and computer usable program product for creating a labor standard for a task. The process automatically detects event data derived from a continuous video stream, wherein the event data comprises metadata describing a sequence of motions for performing the task, and parses the event data to identify appropriate event data describing a discrete set of motions from the sequence of motions. The process then analyzes, using an analysis server, the discrete set of motions to form a labor standard, wherein the labor standard specifies an optimal manner of performing the discrete set of motions. Thereafter, the process generates a set of recommendations for performing the task efficiently according to the labor standard.

Abstract: A computer implemented method, apparatus, and computer usable program product for generating an optimized marketing strategy for improving sales. The process parses event data to identify patterns of events associated with a selection of a selected item by each customer in a plurality of customers and selection of at least one item in a set of items related to the selected item. The process identifies events in the patterns of events that result in a purchase of at least one item in the set of related items by the customers to form optimized events. The process then generates a marketing strategy using the optimized events. The marketing strategy comprises a set of strategies for increasing purchases of items in the set of related items by the customers.

Abstract: A computer implemented method, apparatus, and computer usable program code for customizing digital media marketing messages. In one embodiment, external data is received from a set of detectors located externally to a retail facility to form external data. The external data is processed to form dynamic data. The set of dynamic data is analyzed using a data model to identify personalized marketing message criteria for the customer. A customized marketing message for the customer is generated using the personalized marketing message criteria. The customized marketing message is delivered to a display device associated with the customer for display.

Abstract: A computer implemented method, apparatus, and computer program product for analyzing neurological images. A set of brain scans for a patient is compared to a set of baseline control scans to automatically identify regions of interest in the set of patient scans. A region of interest is an area in a scan that shows an indication of a potential abnormality. A set of electronic medical literature sources is searched for medical literature relevant to the regions of interest in the set of patient scans. The relevant medical literature is correlated to the medical literature describing the regions of interest in the set of patient scans to the regions of interest in the set of patient scans. A result is generated. The result comprises the regions of interest and a set of links to the correlated portions of the relevant medical literature are outputted.

Abstract: A computer implemented method, apparatus, and computer usable program product for automatically determining a marketing status for a customer. Biometric readings for the customer are received from a set of biometric devices associated with a retail facility to form biometric data describing a set of physiological responses of the customer. The biometric data is analyzed to identify a set of marketing initiation factors that indicate a degree of receptivity of the customer to marketing messages. In response to the set of marketing initiation factors indicating initiation of marketing to the customer, a customized marketing message is generated for the customer. The customized marketing message is transmitted to a display device for display to the customer in real-time as the customer is shopping.

Abstract: A computer implemented method, apparatus, and computer program product of determining mechanisms of action for therapies. A first set of brain scans for each subject in a plurality of subjects generated at a first time period and a second set of brain scans for each subject generated at a second time period are received. Each subject is diagnosed with a given condition and received a given therapy. A set of changes in the set of brain scans is identified for the each subject based on a comparison of a first set of regions of interest in the first set of scans for each subject with a second set of regions of interest in the second set of scans for each subject. A set of typical changes attributable to the given therapy is identified. A mechanism of action for the given therapy is generated based on the set of typical changes.

Abstract: A computer implemented method, apparatus, and computer usable program product for automatically determining a marketing status for a customer. In one embodiment, detection data is received from a set of detectors associated with the retail facility. The detection data is processed to form dynamic data. The dynamic data is analyzed using a set of data models to identify marketing initiation factors. In response to the marketing initiation factors indicating initiation of marketing to the customer, a customized marketing message is generated for the customer and dynamically transmitted to a display device associated with the customer. The customized marketing message is displayed to the customer in real-time as the customer is shopping at the retail facility.

Abstract: A computer implemented method, apparatus, and computer usable program code for customizing digital media marketing messages using biometric data. In one embodiment, data is received from a set of biometric devices associated with a retail facility to form the biometric data. The biometric data is associated with a given customer. The biometric data is processed to form dynamic data. The dynamic data is analyzed using a data model to identify personalize marketing message criteria for the customer. A customized marketing message is generated using the personalized marketing message criteria.

Abstract: A computer implemented method, apparatus, and computer usable program code for generating customized marketing messages to increase purchases by a customer. In one embodiment, an item selected by the customer is identified to form a selected item. Biometric readings for the customer are received from a set of biometric devices associated with a retail facility to form the biometric data. The biometric data is data regarding a set of physiological responses of the customer. A set of items is selected from a list of items associated with the selected item using the biometric data for the customer to form a set of promoted items. A customized marketing message for the customer is generated using a set of personalized marketing message criteria for the customer. The customized marketing message comprises a marketing message for the set of promoted items.

Abstract: A processor-implemented method, system, and/or computer program product generate a recommendation to add a member to a receptivity cohort. A receptivity cohort is made up of members who share a conduct attribute, which is a facial expression, body language, and/or social interaction of a person. The conduct attribute has been predetermined to be an indicator of a level of receptiveness to a proposed future change in a set of circumstances. Biometric sensor data, which describe the facial expression, body language and/or social interaction for a candidate member, are retrieved from a set of biometric sensors. The retrieved biometric sensor data for the candidate member is compared to the conduct attribute of members of the receptivity cohort. In response to the biometric sensor data for the candidate member matching the conduct attribute of members of the receptivity cohort, a recommendation is generated to add the candidate member to the receptivity cohort.

Abstract: A computer implemented method, apparatus, and computer usable program product for generating a customer risk assessment score. In one embodiment, the process parses dynamic data associated with a customer to identify patterns of events. The dynamic data comprises metadata describing an appearance and behavior of the customer. The patterns of events are analyzed to identify risk assessment factors for the customer. A risk assessment analysis is dynamically performed using the risk assessment factors for the customer to generate a risk assessment score for the customer while the customer is shopping in a retail facility. The risk assessment score indicates a potential risk posed by the customer to the retail facility.

Abstract: Customizing digital media marketing messages using customer behavior data is provided. In one embodiment, patterns of events in customer event data are identified to form customer behavior data. The customer event data comprises metadata describing a customer associated with a retail facility. The customer behavior data is processed to form dynamic data. A customized marketing message is generated for the customer using the dynamic data.

Abstract: A computer implemented method, apparatus, and computer usable program product for managing a level of marketing disincentives directed towards a customer using a risk assessment score. In one embodiment, a risk assessment score for a customer associated with a retail facility is retrieved. The risk assessment score is analyzed to determine whether the customer is a desirable customer or an undesirable customer. In response to the risk assessment score indicating that the customer is an undesirable customer, aggressive marketing disincentives targeted to the undesirable customer are generated. If the risk assessment score indicates the customer is a desirable customer, marketing incentives targeted to the desirable customer are generated.

Abstract: A computer implemented method, apparatus, and computer program product for generating video based cohorts. Digital video data is processed to identify a set of color and texture based attributes associated with the set of objects. The digital video data comprises metadata describing the set of objects. The set of color and texture based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one color and texture based attribute in common.

Abstract: A computer implemented method, apparatus, and computer usable program code for generating customized marketing messages using current events data. In one embodiment, external marketing data is received from a set of sources to form the current events data. The current events data is processed to form dynamic data. A customized marketing message is generated for the customer using the dynamic data.

Abstract: Detecting behavioral deviations in members of a cohort group is provided. Ocular metadata is analyzed to identify patterns in changes in a size of a pupil of an eye of a member of the cohort group captured by a set of cameras. The ocular metadata describes the changes in the size of the pupil. The patterns in the changes in the size of the pupil include a rate of changes in the size of the pupil, a degree of change in the size of the pupil, and a number of changes in the size of the pupil. The patterns in the changes in the size of the pupil indicate any external stimuli associated with the changes in the size of the pupil. In responsive to the changes in the size of the pupil indicating behavioral deviations in the member, the member is identified as a person of interest.

Abstract: A computer implemented method, apparatus, and computer program product for modifying neuropsychiatric treatment plans based on efficacy of treatment. A current treatment plan comprising a first set of therapies to treat a set of neuropsychiatric conditions and portions of the medical literature associated with the set of neuropsychiatric conditions is retrieved. A set of brain scans of the patient is analyzed to determine a set of changes over time associated with the set of neuropsychiatric conditions. The portions of the medical literature and the set of changes are analyzed to determine a patient rate of response to the treatment plan. If the patient rate of response falls below a threshold expected rate, a set of alternative treatments for the patient is identified. A modified treatment plan is generated using the set of alternative treatments.

Abstract: A computer-implemented method, system and computer program product of managing and sharing entries into a webpage are presented. The computer-implemented method receives an input to an input box located in a first webpage on a first network. This input is analyzed to determine its subject matter, and is then migrated into an appropriate subject box on the webpage. In one embodiment, the input is then shared with another webpage, for the same user, which is on a second network.

Abstract: A computer implemented method, apparatus, and computer program product for generating deportment and comportment cohorts. Digital sensor data associated with an individual is received. The digital sensor data comprises event metadata describing a set of events associated with the individual. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the individual. In response to determining description data for the individual is available, the description data is retrieved. The description data comprises at least one of identification information, past history information, and current status information for the individual. A set of conduct analysis models based on the event metadata and the available description data is selected. The set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events.