International Business Machines Corporation

Globalfoundries Inc.

Kyndryl, Inc.

Al Chakra

Liam S Harpur

John Rice

Jonathan D Dunne

Trudy L Hewitt

Francesco Carmine Schembari

John Anthony Feller

Patrick Joseph O'Sullivan

Gary Denner

Sean Callanan

Sumit Patel

Michelle M Purcell

Jenny S Li

Bernadette Alexia Carter

Yu Deng

Adam Ross Cook

Ryan Eric Smith

Mark Y Kelly

Michael Scott Thomason

Ruthie D Lyle

Itzhack Goldberg

David Mark Ogle

Saurabh Gupta

Simon P O'Doherty

Yuk Lung Chan

Robert Huntington Grant

Tian Ming Pan

Tong Yu

Maryam Ahmed

Hugh P Smyth

Rick A Hamilton, Ii

Christopher J Dawson

Asima Silva

James Patrick Galvin, Jr

Yongcheng Li

Bret William Dixon

Liangzhao Zeng

Michael Paul Clarke

Peng Fei Tian

Soumitra G Limaye

Ranjit S Rai

Anuradha D Chitta

Nancy Anne Schipon

Adam Bishop

Yu Wang

Kelley Anders

Cheng Fang Wang

Li Fu Chen

John Kenyon Gerken, Iii

Daniel John McCloskey

Erik H Katzen

Faisal Ghaffar

Matthew Charles Hillary

Fernando Barsoba

Lin Sun

Jeremy A Greenberger

David Louis Kaminsky

Mark Patrick Delaney

Paul Basil French

Jian Jun Wang

Terence Patrick Purcell

Rahul Ghosh

Hitham Ahmed Assem Aly Salama

Stanley Kieran Jerrard-Dunne

Constantinos Kassimis

Li Li

Marit L Imsdahl

Ruiping Li

Christopher Meyer

Clay Edwin Williams

Roderick Charles Henderson

Kimberly Dawn McCall

Nithinkrishna Shenoy

Brett Ward

Heng Chu

Rocky D McMahan

Lisa Seacat DeLuca

Shikhar Kwatra

Michael Muller

Steven Michael Miller

Mark Edmund Maresh

Jerry Wayne Stevens

Carol Sue Zimmet

Eric Allen Stegner

Fan Zhang

Mark Andrew Shewell

Matt Richard Hogstrom

Henri Fouotsop Meli

Mark E Peters

Ryan R Anderson

Ravi Krishna Kosaraju

Bo Chen Zhu

Colm Farrell

Ulysses Lamont Cannon

Govindaraj Sampathkumar

Yang Zhang

Brendan P Arthurs

Oriana Jeannette Love

Spenser Edward Shumaker

Christopher M Barton

Methods, computer program products, and systems are presented. The method, computer program products, and systems can include, for instance: receiving personal inputs regarding a first individual, the first individual previously having given informed consent, automatically generating a work profile for the first individual based on the plurality of personal inputs; based on the work profile of the first individual and a preexisting work profile of a second individual, predicting a work affinity indicator for the first individual and the second individual, the predicting including using an affinity model trained via ensemble learning; and providing the work affinity indicator to a user for optional consideration in making a work-related or employment-related decision.

Employee interaction management based on predictive analysis

Techniques for integrated authentication for a container-based environment are described herein. An aspect includes accessing, by an application that is running in a container in a container environment that is hosted by a hypervisor on a host system, an authentication module that is located in the container environment. Another aspect includes invoking an authentication handler in the container environment based on the accessing of the authentication module. Another aspect includes passing control to the hypervisor from the authentication handler. Another aspect includes retrieving a security artifact from a security database of the host system by the hypervisor. Another aspect includes providing the retrieved security artifact to the application via the authentication handler. Another aspect includes performing an authentication operation by the application using the security artifact.

Integrated authentication for container-based environment

A method for contextual data visualization includes receiving data selected by a user and meta-data associated with the data. The data is analyzed, using a processor of a computing device, to determine content and structure attributes of the data that are relevant to visualization of the data. The meta-data is analyzed, using a processor of the computing device, to determine a context in which the visualization of the data will be used. A database comprising an aggregation of visualization records from a plurality of users is accessed and at least one template from the data visualization records that matches the data attributes and context is selected. A data visualization is created by applying at least one template to the data.

Contextual data visualization

A method, system and computer program product for processing queries in a hybrid database system. A database management system of the hybrid database system obtains an estimated execution time of a query by an online transaction processing engine. The database management system further obtains an estimated execution time of the query by a database accelerator. Furthermore, the database management system determines a wait time (which could be zero) for the database accelerator to process the query. The database management system then determines whether the online transaction processing engine or the database accelerator will process the query using the estimated execution time of the query by the online transaction processing engine, the estimated execution time of the query by the database accelerator and the wait time (which could be zero) for the database accelerator to process the query. In this manner, the processing of queries in hybrid database systems is optimized.

Optimizing query processing and routing in a hybrid workload optimized database system

Techniques and apparatus for optimizing communications between computing devices are described. An example technique includes determining one or more parameters of a communication between a first computing device and a second computing device. At least one of a networking stack or a communication protocol that will meet a target set of criteria for the communication is predicted, based on evaluating the one or more parameters with at least one machine learning model. An indication of at least one of the networking stack or the communication protocol is transmitted.

Automatic detection of optimal networking stack and protocol

A computer identifies capture device output that represents an aspect of a recorded event. The computer cryptographically processes the primary subsets of capture device output to produce a validatable master file which includes master file media data primary subset from the capture device output, master primary subset metadata of the master file media data primary subset, and master file blocktree data. The master file blocktree data includes a master file block history portion, a master file signature key portion, and a signed hash of the master file media data primary subset. The computer also modifies the master file media data primary subset to produce a reference file media data primary subset. reference files and distributable files. The computer verifies the authenticity of each of these files.

Validating primary subsets of received sensor data using computer cryptographic processing

A computer-implemented method includes dynamically generating a sub-operator bundle based on a template. The method further includes converting, by a processing device using a sub-operator registry server, the sub-operator bundle into a sub-operator. The method further includes providing, by the processing device using the sub-operator registry server, the sub-operator to a catalog.

Autonomous Kubernetes operator creation and management

Usage information of a user for a plurality of computing devices is identified. A usage pattern for each computing device of the plurality of computing devices of the user is developed based on the identified usage information of the user. An indication of the user accessing an application on a first computing device of the plurality of computing devices is received. The application requires one or more credentials for an authentication process associated with the application. A determination is made whether the user accessing the application using the first computing device is following the developed usage pattern of the user. Responsive to determining that the user accessing the application using the first computing device is not following developed usage pattern of the user, the authentication process associated with the application is interrupted.

Multi-factor authentication via multiple devices

A method, system, and computer program product are provided for virtualizing specific values in a guest configuration based on the underlying host symbol substitution values. A symbolic link located in a traditional file system in a virtual guest is opened. Each symbol is extracted from a symbol-based file located in a symbol-based file system. The symbol-based file is accessed through a symbolic link from the traditional file system. The virtual guest issues a privileged instruction to a hypervisor for each symbol in the symbol-based file to retrieve a substitution value from a symbol table that is stored in hypervisor storage. The substitution value for each symbol is returned to the virtual guest, and it replaces the symbol in the symbol-based file. In response to a file read request for the traditional file, the substitution value is retrieved from the symbol-based file using the symbolic link from the traditional file.

Virtualizing specific values in a guest configuration based on the underlying host symbol repository

Aspects include identifying an event associated with extraction and transmission of a dataset from a data center over a network to one or more network servers and identifying a plurality of tasks associated with a plurality of users and the event. A predicted availability time of the dataset is determined for the one or more network servers based on data extraction performance from a backend data storage system of the data center. Processing is clustered of a plurality of posting requests of two or more of the users through the one or more network servers to align with the predicted availability time of the dataset.

Fence computing

Media capture and verification originally-captured media files, the nature of modifications made to captured media files, and the authenticity of various versions of files related to the captured media are discussed. A computer identifies capture device output that represents an aspect of a recorded event. The computer cryptographically processes the capture device output to produce a validatable master file which includes master media data from the capture device output, master metadata of said master media data, and master file blockchain data. The master file blockchain data includes a master file block history portion, a master file signature key portion, a master file change indication portion, and a master file signed data hash portion. The computer also modifies the master media data to produce reference file media data. reference files and distributable files. The computer verifies the authenticity of each of these files.

Validating received sensor data using computer cryptographic processing

A method, system and computer-usable medium are disclosed for tracking selected points in a series of images to determine motions made by a subject to perform an action to train a system, such as a machine or robot. A series of images are received depicting incremental steps of the subject performing the action. Selected points that are useful to track the subject performing the action are identified. Datasets of points used to train a model are mapped, and the model is trained using the mapped datasets of points.

Using video tracking technology to create machine learning datasets for tasks

A computer-implemented method includes tracking usage history of a plurality of components of one or more products. An original set of announcements about the one or more products is received, where the original set of announcements includes a plurality of announcement records. The plurality of announcement records are prioritized based on the usage history of the plurality of components. A usage-based set of announcements is generated based on the prioritization of the plurality of announcement records.

Customizing product announcements based on product usage

Presenting a link label for multiple hyperlinks includes presenting a layered data element in an electronic message with a link label that represents multiple hyperlinks in a display, designating an active hyperlink from the multiple hyperlinks based on specific criteria associated with a recipient of the electronic message, and directing the recipient of the electronic message to an online location of the active hyperlink in response to user input selecting the link label.

Presenting a link label for multiple hyperlinks

A computer identifies capture device output that represents an aspect of a recorded event. The computer cryptographically processes the tracked portions of capture device output to produce a validatable master file which includes master file media data tracked portion from the capture device output, master tracked portion metadata of said master file media data tracked portion, and master file blockchain data. The master file blockchain data includes a master file block history portion, a master file signature key portion, and a signed hash of said master file media data tracked portion. The computer also modifies the master file media data tracked portion to produce a reference file media data tracked portion. reference files and distributable files. The computer verifies the authenticity of each of these files.

Validating tracked portions of received sensor data using computer cryptographic processing

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Apex, NC, United States of America

Al Chakra