Kyndryl, Inc.

International Business Machines Corporation

Edson Gomes Pereira

Sergio Varga

Sarbajit Kumar Rakshit

Thiago Cesar Rotta

Fabio Minoru Tanada

Tiago Dias Generoso

Thiago Rodrigues De Souza Costa

Daniela Kern Mainieri Trevisan

Daniela Trevisan

Marcos Vinicius Landivar Paraiso

Marcelo Mota Manhaes

Alexandre Q Baltar

Glaucio Alexandre De Azevedo

Adriano Augusto Rolfini

Lucas Coelho De Almeida

Patricia Pereira Fantini De Melo

Alexandre D Baltar

Maria Augusta Bastos Torres

Fatima Teixeira Pombo Barile

Thiago C Rotta

Maria Do Carmo Miranda Barbosa

Rodrigo Candido Leme

An example operation may include one or more of storing code that adheres to predefined coding standards of one or more programming languages within a data store, reading source code from a code file, comparing the source code to the code stored within the data store to determine one or more recommended code changes to the source code, and displaying the one or more recommended code changes via a user interface.

Code advisory system

Three-dimensional printing of objects is facilitated. For an object to be printed in three-dimensions (3D), one or more contact points relating to the object are determined. A contact point is at least one location on a base of a 3D printer in which a portion of the object is to contact the base based on printing the portion of the object. A centralized location of the base at which one or more movable blocks of the base are to be moved to position the one or more contact points at the centralized location to facilitate printing of the one or more portions of the object is also determined. A print plan to be used to print the object in three-dimensions is created, in which the print plan includes one or more instructions to print at least the one or more portions of the object at the centralized location.

Three-dimensional printing employing movable blocks of a printer base

A method, a computer system, and a computer program product for a multi-dimension artificial intelligence (AI) agriculture advisor is provided. Embodiments of the present invention may include creating a user profile. Embodiments of the present invention may include preparing and transforming the external data. Embodiments of the present invention may include conducting a hypothesis on the transformed data. Embodiments of the present invention may include validating the transformed data. Embodiments of the present invention may include training an artificial intelligence (AI) model based on the transformed data. Embodiments of the present invention may include validating and retraining the artificial intelligence (AI) model. Embodiments of the present invention may include matching the user data with the artificial intelligence (AI) model. Embodiments of the present invention may include ranking results based on the matching the user data with the artificial intelligence (AI) model.

Multi-dimension artificial intelligence agriculture advisor

A process collects information about multiple systems of a computing environment from environmental tools web sources. The process builds and trains a classification model that extracts relevant information that classifies technical issues of the computing environment. The process performs root cause and predictive analyses, and identifies root causes of experienced technical issues and predicted technical issues. Based on identifying the root causes of the experienced technical issues, or identifying predicted issues, the process provides suggested corrective actions or optimization actions. Effectiveness of the suggested corrective actions and suggested optimization actions is tracked, and results of the tracking are fed into a training process that further trains the classification model.

Root cause and predictive analyses for technical issues of a computing environment

A method, system, and computer program product for augmented reality-based vehicle diagnostics are provided. The method receives vehicle metadata describing a vehicle. The vehicle metadata includes a problem context. The method retrieves vehicle reference data based on the vehicle metadata. A candidate problem is generated for the problem context based on the vehicle metadata and the vehicle reference data. The method generates a set of candidate solutions for the candidate problem. The set of candidate solutions address the problem context. The method generates a set of visualizations for the set of solutions based on the vehicle metadata and the candidate problem. The method presents a visualization of the set of visualizations as an augmented reality user interface.

Augmented reality diagnostic interface

Techniques are provided for selectively granting access credentials through the use of a machine learning model. Embodiments include collecting data from one or more sources related to user access of an information technology (IT) infrastructure. Based on the collected data, a machine learning model is created for authenticating a request from a client device to access the computer system within the IT infrastructure based on the collected data, based on the machine learning model. An access credential is generated upon processing the user identifier as an input to the machine learning model, and the access credential is provided to the client device.

Cognitive user credential authorization advisor

As disclosed herein a computer-implemented method includes determining an initial workload configuration corresponding to a workload and requesting a new custom monitoring agent and a new custom monitoring profile corresponding to the initial workload configuration, and determining updated monitor tuning information corresponding to the workload. The method further includes updating one or more monitoring thresholds according to updated monitor tuning information responsive to determining the workload configuration has changed, requesting a new monitoring agent that includes a monitor corresponding to a changed workload configuration, and installing the new monitoring agent in the workload. Also disclosed herein a computer-implemented method includes receiving a request from a requester for a new monitoring agent corresponding to a workload, and creating the new monitoring agent according to a custom monitoring profile. The method further includes providing the new monitoring agent to the requester. A computer system and computer program product are also disclosed herein.

Autonomous and adaptive monitoring of workloads

Growing community of inventors

Cotia, Brazil

Edson Gomes Pereira