International Business Machines Corporation

Globalfoundries Inc.

Janki Y Vora

Mathews Thomas

Tassanee Kraipon Supakkul

Edwin J Bruce

Alan D Emery

Tong C Dougharty

Aditya Sood

Utpal Mangla

Jason A Gonzalez

Eric L Gose

Fang Wang

Romelia H Flores

Gregory Peter Fitzpatrick

Charlet N Givens

Amandeep Singh

Sharath Prasad Krishna Prasad

Tanya E Bubash

Endemecio Santana

Subil M Abraham

Julio Wong

Christian E Loza

Arvind Sathi

Mandeep Singh Chana

Michael Josiah Bolding

Tomyo G Maeshiro

Steven Layne Canepa

Thomas Joseph Eunice

Venkatesh Ashok Rao Rao

William King

Barbara S Guzak

Hung-Tack Kwan

Vanessa P Reyes

Joe C Wallace

Provided is a method for generating a personalized response to a user query. An omnichannel assistant receives a query from a user. The query is parsed to identify a user request. A user profile of the user is analyzed to determine one or more sources for responding to the query. The user profile includes a set of trusted sources for the user. Data for responding to the query is retrieved from the one or more sources. A channel for a response is selected based at least in part on the user profile. The response to the query is generated. The response is generated using the retrieved data, the selected channel, and the user profile. The response is then transmitted to the user.

Omnichannel virtual assistant using artificial intelligence

An approach for creating dynamic content. The approach receives advertiser data associated with activities of one or more advertisers and receives publisher data associated with activities of one or more publishers. The approach manages the one or more DSPs activities associated with the received advertiser data and publisher data. Furthermore, the approach manages the one or more SSPs activities associated with the received advertiser data, publisher data and the one or more DSPs activities and selects one or more advertisement for one or more website. Finally, the approach manages the one or more consumer behaviors associated with the selected one or more advertisement.

Dynamic content fulfilment associated with real time bidding

Utterances spoken or sung by a first person can be received, in real time. The detected utterances can be compared to at least a stored sample of utterances spoken or sung by the first person. Based on the comparing, audio of the utterances spoken or sung by the first person can be isolated from a background noise. A volume of the utterances spoken or sung by a first person relative to the background noise can be determined. A key indicator that indicates the volume of the detected utterances spoken or sung by the first person relative to the background noise can be generated. Based on the key indicator, information indicating the volume of the detected utterances spoken or sung by the first person relative to the background noise can be communicated.

Dynamically providing to a person feedback pertaining to utterances spoken or sung by the person

A content delivery system may receive and aggregate video content from one or more content sources. In a first embodiment, the content delivery system may start streaming a video to a first viewer on a first device and then receive a request for a catch up version to be streamed to a second viewer viewing a second device. The content delivery system may send replacement segments of the video that are shortened summaries to the second device until the second viewer has caught up to the first viewer on the first device. In a second embodiment, the content delivery system may detect two or more viewers and customize a video content for both viewers. In a third embodiment, the content delivery system, in real time, may customize a segment of a video (possibly using a 'green screen' or overlaying a second video over the original video segment) based on characteristics of the viewer and then stream the customized video segment to the viewer.

Real time optimized content delivery framework

In an approach to dynamic network management based on user, device, application, and predicted network characteristics, one or more computer processors identify one or more network interfaces. The one or more computer processors determine one or more network performance parameters and capabilities of the identified network interfaces. The one or more computer processors determine a highest ranked network connection based on the determined network performance parameters and capabilities of the identified network interfaces. The one or more computer processors generate one or more network templates based on the determined highest ranked network connection and associated network performance parameters. The one or more computer processors apply the one or more generated network templates to a plurality of entities and devices.

Dynamic network management based on user, device, application, and network characteristics

Instructional content is visually presented within a graphical user interface overlay on a display for an application window also presented on the display. Interactive events between a user and the application are dynamically detected. Responsive to the interactive events, state-specific substantive instructions are determined given a current state of the application as determined from the interactive events. The instructional content is dynamically modified to continuously present the state-specific substantive instructions that correspond with the detected interactive events. Presentation characteristics of a graphical user interface overlay are dynamically modified based on the interactive events to make the graphical user interface overlay unobtrusive to user-application interactions while ensuring the graphical user interface overlay is presented in a visually proximate position to a user's current interactive focus as determined from the interactive events, wherein unobtrusiveness of the graphical user interface overlay ensures that user inputs directed at the application are not interfered with.

Dynamic role-based instructional symbiont for software application instructional support

Utterances spoken or sung by a first person can be received, in real time, from a mobile communication device. A location of the mobile communication device can be determined to be in an area designated as a quiet zone. A key indicator that indicates at least one characteristic of the detected utterances spoken or sung by the first person can be generated. Based, at least in part, on the key indicator, a determination can be made that the first person is speaking or singing too loudly in the area designated as the quiet zone. Responsive to determining that the first person is speaking or singing too loudly in the area designated as the quiet zone, feedback indicating that the first person is speaking or singing too loudly in the area designated as the quiet zone can be communicated to the mobile communication device.

A method, system, and/or computer program product improve a function of a computer used to make a seat in a venue available to a user. One or more processors retrieve a user profile of a user that is requesting a seat in a venue, where the user profile describes a personal interest of the user. The processor(s) identify another person that shares the personal interest of the user, where the other person is currently seated at a first seat at the venue. The processor(s) identify an unoccupied second seat in proximity to the first seat.

Selective seating controller

A method, system, and/or computer program product improve a function of a computer used to make a seat in a venue available to a user. One or more processors received a request for a seat at a venue from a user. The processor(s) retrieve a user profile of the user and a seat profile of the seat, and then match features in the user profile to features in the seat profile. The processor(s), in response to the features in the user profile matching the features in the seat profile, store the user profile and the seat profile in a seat control storage device that is solely dedicated to the seat. The processor(s) then direct the user to the seat that is identified in the seat control storage device, where the user is identified by the user profile in the seat control storage device, and where the seat is identified by the seat profile in the seat control storage device.

A method for the cognitive debugging of a managed system includes first receiving an event in an event management system. Thereafter, a context for the event is extracted therefrom and the context is mapped to both one or more components of a managed computing system and also one or more corresponding debug mode commands for each of the components. Consequently, a debug mode is enabled in each of the components and the corresponding debug mode commands are issued for each of the components so as to provoke a generation of one or more log entries. The generated log entries then are matched to a pre-stored log entry amongst a multiplicity of pre-stored log entries and at least one problem resolution document stored in connection with the matched pre-stored log entry is transmitted to an operator of the event management system.

Cognitive platform for troubleshooting system events

Arrangements described herein relate to receiving, in real time, utterances spoken or sung by a first person when the utterances are spoken or sung and comparing, in real time, the detected utterances spoken or sung by the first person to at least a stored sample of utterances spoken or sung by the first person. Based, at least in part, on the comparing the detected utterances spoken or sung by the first person to at least the stored sample of utterances spoken or sung by the first person, a key indicator that indicates at least one characteristic of the detected utterances spoken or sung by the first person can be generated. Feedback indicating the at least one characteristic of the detected utterances spoken or sung by the first person can be communicated to the first person or a second person.

A computing device generates profiles based on mobile device data. The computing device receives a plurality of mobile device records of a plurality of mobile devices in a region, that each include a timestamp, a location data, and an activity data, and assigns each of the plurality of mobile device records to one of a plurality of space-time boxes. The computing device performs analytics on the mobile device records assigned to the plurality of space-time boxes to yield a resulting plurality of profiles, which can include a mobility profile indicating the number of locations in the region that each mobile device occupies during a span, a hangout profile indicating the number of mobile devices that occupy each location in the region during a span, and a buddy profile indicating the mobile devices that occupy the same location in the region as a given mobile device.

Mobile device analytics

A computing device identifies a plurality of media files within a data store, each of the media files lacking user established file names. The computing device analyzing the plurality of media files to recognize humans in the media files based on facial recognition and/or voice recognition programs. Using results of the analyzing to generate a plurality of content identification keywords, which are scored and ranked. Establishing a filename prefix for the media files using scored and ranked content identification keywords. Automatically generating a unique file name for each of the media files, wherein each unique file name includes the established filename prefix.

Growing community of inventors

Dallas, TX, United States of America

Janki Y Vora