International Business Machines Corporation

Kyndryl, Inc.

Wayfair LLC

Charter Communications Operating, LLC

Michael Bender

Rhonda L Childress

Jeremy R Fox

Craig M Trim

Gregory J Boss

Martin G Keen

Evelyn R Anderson

Sarbajit Kumar Rakshit

Michael P Shute

David B Kumhyr

Stan Kevin Daley

Kulvir Singh Bhogal

Wayne Michael Delia

David E Nachman

Michael John Spisak

Michael Boone

Timothy James Hahn

Rick A Hamilton, Ii

Gordan G Greenlee

Jennifer M Hatfield

Jill S Dhillon

Siddhartha Sood

Edward Tyrone Childress

Keith R Walker

Zachary A Silverstein

Natalie Brooks Powell

Ea-Ee Jan

Kim Alice Eckert

Aaron K Baughman

Todd Russell Whitman

Todd P Seager

Minh Q Pham

Manjari Roy

Todd R Palmer

Mauro Marzorati

John Falk Kelley

Rahul Gupta

Shikhar Kwatra

Gandhi Sivakumar

Marc Dickenson

Christian Compton

Leucir Marin Junior

Donald L Muchmore

Thomas J Fleischman

Mary E Rudden

David J Delia

Tamer M Nassar

Keerthi E K

Albert Avetisian

Timothy J Forshee-Lee

Prajwal M Alva

Sindury R R Baddam

Maharaj Mukherjee

John Elbert Moore, Jr

Cesar Augusto Rodriguez Bravo

Hernan A Cunico

Sara H Basson

David Jaramillo

Joseph Celi, Jr

Blaine H Dolph

Clement Decrop

Joanna W Ng

Steven Edward Atkin

Manjunath Ravi

Gautam Majumdar

Shilpa Shetty

Santosh S Borse

Shawn D Hennessy

Ebony C Adams

Stephen J McConnell

Trisha E Hanlon

Christopher M Wood

Gina Mazzarelli

John Michael Ganci, Jr

Trudy L Hewitt

Kelley Anders

Kevin Charles Mcconnell

Mark Patrick Delaney

Robert Huntington Grant

James Peter Ward

Nader M Nassar

Hari Haranath Madduri

Christopher Kent Karstens

Jeffrey Mark Achtermann

Shubhadip Ray

Randall Avery Craig

Ryan D McNair

Gautam K Bhat

Andrew Paul Barnes

Pooja Malik

Michael Seth Silverstein

Zachary James Goodman

Leucir Marin, Jr

Milton A Bonilla

Arnaud Airy Mathieu

Murali Vridhachalam

Helio Leonardo Pinheiro E Mota

Daniel Ruiz

Corey Sonier

H Ramsey Bissex

Hardware and software on a computing device is analyzed based on a regulatory profile for the computing device and regulatory compliance for an entity associated with the computing device. A determination is made whether at least one of the hardware and software on the computing device includes at least one regulatory non-compliance issue. In response to determining that at least one of the hardware and software on the computing device includes at least one regulatory non-compliance issue, one or more scripts are executed on the hardware and software on the computing device to cause the hardware and software to resolve the at least one regulatory non-compliance issue based on the regulatory profile for the computing device.

Remediation of regulatory non-compliance

A computer-implemented method includes: receiving, by a computer device, a request for a new online account for accessing data stored in an enterprise system; determining, by the computer device, an identity associated with the request; determining, by the computer device, a risk score for the request; determining, by the computer device, validation steps based on the risk score; and executing, by the computer device, the validation steps.

Identity proofing for online accounts

A computing device may be configured to continuously, repeatedly, or recursively generate, train, improve, focus, or refine the machine learning classifier models that are used data anomalies. The computing device may create a corpus of data based on architecture or standards documents, generate classifier models based on the corpus of data, collect information from one or more data sources, generate feature vectors based on the collected information, apply the feature vectors to the classifier models to generate an analysis result, and identify a data anomaly based on the generated analysis result.

Methods and systems for identifying and correcting anomalies in a data environment

Embodiments of the present invention provides methods, computer program products, and a system for maintain application compliance. Embodiments of the present invention identify locations of potentially sensitive data. Embodiments of the present invention identify a set of individuals associated with the potentially sensitive data and determine whether an application can be installed based on content of potentially sensitive data and on elections of respective individuals associated with the potentially sensitive data.

Data security compliance for mobile device applications

In an approach for monitoring a user's in-flight activity and/or a pattern of movement of a user and warning the user of an in-flight activity or a pattern of movement that could lead to a potential short-term or long-term injury, a processor monitors a body movement and a posture of a user through an application of micro-location analysis enabled by a mesh network of 5G sensors over a period of time. A processor determines whether the body movement and the posture detected can lead to an activity or a series of activities that can result in a potential injury. Responsive to determining a pre-set threshold of risk has been reached, a processor issues a real time alert to the user to warn of the potential injury.

Preventative workplace injury alerting system utilizing mmwave 5G positional localization

A method, computer system, and a computer program product for securing transportation of Items. In one embodiment, packaging particulars may be determined including packaging configuration and materials. At least a sensor may be embedded when packaging the Item. The sensor type and location may be selected by a processor. The Sensor(s) may be selected to monitor changes to the condition of the Item during the transportation. Sensor data may be monitored and any risk to the Item during the transportation may be mitigated. In one embodiment, when a risk has been determined, an alert may be provided such as to a person or an IoT enabled device to mitigate the risk.

Safeguarding high value assets using artificial intelligence

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: iteratively obtaining utilization parameter values from first to Nth edge computing environments, training one or more predictive model by machine learning using parameter values of the utilization parameter values obtained by the iteratively obtaining, wherein the training includes training a first computing environment predictive model with use of parameter values of the utilization parameters obtained from the first computing environment by the iteratively obtaining.

Computing environment predictive provisioning

Aspects of the present disclosure relate to context based saving of content. A set of conditions for automatically saving content for a user currently engaged with savable content can be received. A current context of the user currently engaged with savable content can be determined. The current context of the user can be compared to the set of conditions to determine whether automatically saving the savable content should be completed. The savable content can be automatically saved in response to determining that automatically saving the savable content should be completed.

Context-based saving of data

In an approach to determining the optimal size and shape of additive manufactured packaging, a delivery location corpus, a storage location corpus, and a transportation mechanism corpus are received. A notification to design a package for an item is received. The optimal design attributes are determined for the delivery location. The optimal design attributes are determined for the storage location. The optimal design attributes are determined for the transportation mechanism. The additive manufactured packaging for the item is designed based on the optimal design attributes for the delivery location, the storage location, and the transportation mechanism.

Determining optimal size and shape of additive manufactured packaging

Aspects identify users as trusted assistant candidates in response to associations to purchases of vehicle repair items. Embodiments further select a one of the trusted assistant candidates that is linked to a vehicle operator as a social network contact and that is located closest to a vehicle location relative to remaining others of the trusted assistant candidates, in response to determining that the vehicle operator needs remote location assistance at the vehicle location; and dispatch the selected one of the trusted assistant candidates to the vehicle location to provide remote location assistance to the vehicle operator.

Dynamic trusted assistance network

System and methods for type ahead search amelioration based on image processing are provided. In embodiments, a method includes: capturing, by a computing device, image data based on images viewed by a user during a computing session; converting, by the computing device, the image data to text using image processing; and storing, by the computing device, the text in a temporary buffer of a type ahead search function, wherein the text constitutes image context data for use by the type ahead search function.

Type ahead search amelioration based on image processing

Systems and methods provide dynamic adjustment of content displayed on image-enabled clothing articles to address obstructed visibility of the content. In embodiments a method includes determining, by a computing device, movement of at least a portion of an image-enabled clothing article based on real-time sensor data from sensors of the image-enabled clothing article; determining, by the computing device, that a view of at least a portion of image content displayed on the image-enabled clothing article is obstructed based on the determined movement, parameters of the image-enabled clothing article and image display information of the image-enabled clothing article; and generating, by the computing device, image instructions that cause the display of the image content on the image-enabled clothing article to move from a first area of the image-enabled clothing article to a second area of the image-enabled clothing article.

Dynamic display for image-enabled clothing

An apparatus for correcting a defect in an object using three-dimensional (3D) printing. The apparatus includes a flexible wrapper-shaped printing module including an array of port openings adapted to allow a 3D printable material to move therethrough. The flexible wrapper-shaped printing module is configured to wrap around an object to allow the 3D printable material to move through a first set of selected port openings of the array of port openings and be injected into the defect in order to correct the defect.

Method and system for three-dimensional printing-based correction of defects in objects

A method, computer system, and a computer program product for cultivation feedback is provided. The present invention may include performing one or more parameter readings of one or more consumer products and storing the one or more parameter readings on a blockchain. The present invention may include determining a correlation between the one or more parameter readings and the one or more properties of the one or more consumer products. The present invention may include receiving feedback on the one or more consumer products from one or more users. The present invention may include providing one or more recommendations based on the feedback received.

Commerce driven feedback mechanism for consumer products

Growing community of inventors

Rye Brook, NY, United States of America

Michael Bender