International Business Machines Corporation

Servicenow, Inc.

Michael Kevin Boudreau

Bradley T Moore

Jamie Beth Marsnik

Craig M Trim

Sarbajit Kumar Rakshit

Blair Googer

Jia Chen

Ahmed Mousaad

Angela T Pistole

Brad Moore

Victor Povar

Clinton W Wright

Jaime B Marsnik

Joseph N Dellatorre

Robotic processor embodiments determine via graphical image analysis physical attributes of an engagement area of a work-piece that a specified tool physically engages to execute a specific action. The processors identify a model set plurality of alternate substitute tools that are each available within a physical environment of the engagement area and have a body portion with physical dimensions that conform to physical dimensions of the work-piece engagement area, and thereby select a substitute tool that has a body portion that best conforms to the physical dimensions of the work-piece engagement area and meets constraints for substitute tool selection for executing the specific action.

Cognitive robotic tool selector and applicator

Examples of techniques for detecting and tracking virtual containers are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes detecting a virtual container. The method further includes collecting virtual container data for the virtual container. The method also includes associating, by a processing device, the virtual container to at least one of a plurality of images. Additionally, the method includes building, by the processing device, a container event database based on the virtual container data and the association of the virtual container to the at least one of the plurality of images, so as to enable tracking of software in the plurality of images and in live virtual containers.

Detecting and tracking virtual containers

Systems and methods for a cognitive display control are disclosed. A method includes: obtaining, by a computer device, context information of current content being displayed on a display; generating, by the computer device, a respective attention score for each one of plural users for the current content; receiving, by the computer device, input to change from the current content to new content; determining, by the computer device and based on the receiving, that the attention score of at least one of the plural users exceeds a threshold value; and controlling the display, by the computer device and based on the determining, to display an alert and a prompt to confirm or reject changing to the new content.

Cognitive display control

In an approach to generating a story topic, one or more computer processors detect biometric data associated with one or more users, where the users are interacting with at least one social media content. The one or more computer processors collect the at least one social media content. The one or more computer processors analyze the biometric data and the at least one social media content. The one or more computer processors determine whether a popularity of the social media content meets a predetermined threshold. The one or more computer processors extract one or more keywords and one or more concepts from the social media content. Based on the extracted one or more keywords and one or more concepts The one or more computer processors generate one or more story topics. The one or more computer processors generate a report that includes the one or more story topics.

Associating characters to story topics derived from social media content

Cognitive television remote control

The new creation and use of entitlement constraint templates methods and systems can be linked to software offerings in a software catalog. Allowing software catalog experts to link contractual entitlement data with software product offerings via constraint templates on such a varying list of constraint types, establishes a highly robust software catalog knowledgebase. The result is significant cost savings in terms of time spent inputting entitlement constraint data by contract analysts as well as minimizing errors by those analysts who would otherwise be required to have a very high level of expertise in the software offerings while potentially inputting the same constraint data repeated times.

Creation and use of constraint templates

In response to a request to transmit a message from a sender to a recipient, risk values including low and high values are assigned to a content risk rating via comparing content of the message to content risk criteria, to a sender risk rating as a function of a sender identity, to a recipient risk rating as a function of a recipient identity, and to a dissemination reach rating of the message as a function of association to a security level of a message distribution channel. A total message risk score is determined from the content disclosure risk rating, sender risk rating, recipient risk rating and dissemination reach rating values. The message is transmitted from the sender to the recipient or if the total message risk score meets a high risk threshold value; otherwise, a mitigation action is applied to the message.

Automated real-time information management risk assessor

After receiving a content at a device usable to present the content to a user, a portion of the received content is analyzed to identify a context present in the portion, the context including a type of a subject-matter of the portion. A contextual rating rule corresponding to the context of the portion is selected from a set of contextual rating rules. A rating value of the portion is computed using a first rating value in the contextual rating rule, the rating value of the portion being distinct from a rating associated with the content by a distributor of the content. The portion is presented on a presentation device along with the rating value of the portion.

Contextual alerting for broadcast content

A feedback value of a user is received, the feedback value corresponding to a content of a current post on a social media service. The content is analyzed to determine a context of the current post. A range of feedback values is computed corresponding to the context. When the feedback value is outside the range of feedback values, a set of contents is computed, the set of contents spanning a period prior to a time of the current post, and the set of contents corresponding to the context. The set of contents omits another post that is within the period and is related to the current post. A recap timeline is constructed using the set of contents and rendered relative to the current post.

Cognitive recapitulation of social media content

A software reconciliation engine utilizes a software rule-based catalog to produce accurate license reconciliation across a wide range of software configurations. A software offering may comprise software installables and corresponding constraints. Installed software and active hardware is discovered by a scanner, stored in an installed software database and active hardware database respectively and is mapped against entitled software offerings to determine whether the installed software is entitled to be installed on the hardware. The installed software has a base product attribute, a used-in-count attribute and a parent-child attribute that are used by the reconciliation engine to compare against the constraints to determine entitlement and report compliance.

Catalog-based software license reconciliation

An identification method is provided. The method includes generating dictionaries comprising a product taxonomy and associated base entities comprising sub-sets within a plurality of software products. Data entities are located from unstructured text of the dictionaries. Locating the data entities includes locating long distance word matches within the unstructured text. Ontologies are populated with the entities and relationships between the data entities are determined.

Growing community of inventors

Orange, CA, United States of America

Michael Kevin Boudreau