International Business Machines Corporation

Kyndryl, Inc.

Green Market Square Limited

Sergio Varga

Marco Aurelio Stelmar Netto

Guilherme Steinberger Elias

Thiago Cesar Rotta

Silvia Cristina Sardela Bianchi

Victor Fernandes Cavalcante

Daniela Trevisan

Marcos Vinicius Landivar Paraiso

Fabio Minoru Tanada

Marcos V L Paraiso

Edson Gomes Pereira

Jørgen E Borup

Kris Blöndal

Sarbajit Kumar Rakshit

Thiago Rodrigues De Souza Costa

Vagner F De Santana

Marcos D Sylos

Marcos V Paraiso

Alexandre De Queiroz Baltar

Ana Paula Appel

Thiago Bianchi

Marcos Vinicius L Paraiso

Marcia Ito

Marcos De Castro Sylos

Daniela Kern Mainieri Trevisan

Silvia C S Bianchi

Alexandre Q Baltar

Facundo Miguel Oliveri

Marcelo Lopes De Moraes

Murilo Goncalves De Aguiar

Tiago D Generoso

Paul Marques Caldeira Junior

Ronaldo Pires

Marcos V Landivar Paraiso

Edson G Pereira

Paulo Marques Caldeira Junior

Marcio Da Ros Gomes

Max S Bortolin

Naaliel Vicente Mendes

Claudio Einicker Garrido

Marcos Francisco Pereira Da Silva

Robson Luiz Nunes De Oliveira

Samuel Pizarro

Anthony Miranda Vieira

Antonio Manuel Sant Ana Monteiro Torres

Jorgen Emil Borup

Peterson Almeida

Fabio Zanforlin Zaina

Leonardo De Bem Ferreira

Silvana Galeazzi

Douglas Luiz Mendes Baiense

Marco Vinicius Landivar Paraiso

Marco Antonio Milanez

Andre Luiz Coelho Silva

Maria Clara Verçosa Da Silva Rodrigues

Claudio Keiji Iwata

Isabel Carolina Zorzi De Miranda

Edson Jose Montanhini

Alexandre D Baltar

Leandro Cesar Fida

Yankel Schwartz

Pedro Fontanari Filho

Daniele Jaqueline Marchiori

Robson Pereira

A computer-implemented method according to one embodiment includes receiving a request to perform a security policy implementation analysis for a first deployment associated with a first client in an IT environment. IT information associated with the first deployment is collected. The method further includes applying trained machine learning models to analyze the IT information of the first client to compute a security policy for the first deployment. The security policy is computed based on a calculated uncertainty of effects that applying the security policy to the first deployment is capable of causing, and a predicted amount of resources of the first deployment that applying the security policy to the first deployment would consume. An indication of the security policy is output for display in a dashboard on a display of a user device of the first client.

Security policy selection based on calculated uncertainty and predicted resource consumption

The exemplary embodiments disclose a method, a computer program product, and a computer system for determining a duration of use left in an oxygen tank. The exemplary embodiments may include collecting data of a user and corresponding oxygen tank, extracting one or more features from the collected data, and determining a duration of use left in the oxygen tank based on the extracted one or more features and one or more models.

Oxygen tank duration of use

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

Data privacy information pertaining to particular data hosted by a first workload provisioned to a first location can be received. The first workload can be monitored to determine whether the first workload is accessed by a second workload, determine whether the second workload is indicated as being authorized, in the data privacy information, to access the particular data hosted by first workload, and determine whether the second workload has access to the particular data hosted by the first workload. If so, the first workload can be automatically provisioned to a second location to which provisioning of the first workload is allowed based on the data privacy information.

Data privacy awareness in workload provisioning

A method and a system for automating security updates in a multi-tiered architecture of a system environment. The method includes receiving a software update note relating to a multi-tiered architecture system environment and determining a patch in the software update note is initially compatible with the system environment. The method also includes predicting, by a patch acceptance machine learning model, the patch is patchable within the system environment and predicting, by an installation machine learning model, an installation patch time for the patch on the system environment. The method also includes installing the patch at the installation patch time on the system environment, and validating the patch installation using a validation machine learning model.

Analysis and implementation of security updates

A computer-implemented method, computer system, and computer program product for for generation of a chatbot. The method may include receiving data in a first format. The method may include generating one or more clusters from the received data. The method may include labeling the generated one or more clusters. The method may include exporting the one or more labeled clusters into a cluster database. The method may include generating the chatbot using the one or more labeled clusters exported from the cluster database. The method may include executing a validation script into the chatbot to generate a report. The method may include receiving a determination on an accuracy of the chatbot based on the generated report. In response to determining that the chatbot is not accurate, the method may include determining whether a manual adjustment directly on the chatbot is needed.

Generation of a chatbot

A determination is made whether an incident that affects one configuration item in a plurality of configuration items within an information technology environment impacts at least one event for at least one other configuration item in the plurality of configuration items. In response to determining that the incident does impact at least one event on at least one other configuration item, one or more pre-defined actions to execute on the at least one other configuration item are identified. The identified one or more pre-defined actions are executed on the at least one other configuration item.

Preventing disruption within information technology environments

Aspects of the present disclosure relate to light-based 3D printing. A computer aided design (CAD) representation of an object is obtained. Mirror and lighting requirements of a light-based 3D printer containing at least one mirror and at least one light source are determined based on the CAD representation of the object. Mirror and lighting characteristics of the at least one mirror and the at least one light source are adjusted based on the determined mirror and lighting requirements, the adjusting resulting in a first 3D light-based printer configuration. A 3D printing process is then initiated, wherein initiating the 3D printing process includes exposing a photosensitive material within the light-based 3D printer to light based on the first light-based 3D printer configuration.

Light-based 3D printing

A method (and structure) to connect a mobile device to a local Wi-Fi network includes providing an input capability for a user of the mobile device to request to make a connection to a local Wi-Fi network. A processor on the mobile device retrieves, from a memory device of the mobile device, a listing of registered local Wi-Fi networks available at the user's current location. A request to connect to a selected one of the registered local Wi-Fi networks listed on the retrieved listing of registered local Wi-Fi networks is transmitted from the mobile device. The mobile device is connected to the selected registered local Wi-Fi network upon receipt of an indication by the selected registered local Wi-Fi network that the user has been validated and verified as trustable.

Trusted method for consuming and sharing Wi-Fi internet access

Systems, methods, and computer program products leveraging the use of data collection, analytics and predictive modeling to selectively provide customized career and education counseling based on each individual user's interests, personality, preferences, geographic location, habits and experiences. The collected user data and user-defined parameters define a user profile, providing insight into career or educational options best suited to the user. Further educational and career information may be collected and presented to the user, including enrollment information from one or more colleges and universities, specific educational programs aligned with the user's defined profile, and descriptions of courses and curriculum. The presentation of the career and educational information to the user may be tracked using a recording device and the reaction of the user while viewing the presented content may be used to gauge user interest in the presented materials and as feedback to improve future recommendations and presentations of materials.

Customized career counseling and management

The present invention is a system and method for evaluating an IT change request system based on cognitive and machine learning technologies. The system includes a computing device having a change request evaluator based on a machine learning trained model and in digital communication with a server. A historical database stores change records and a definitions database stores a definition for words appearing in the change records. A change request is received at the change request evaluator, which finds a model change record by comparing the change request to the change records in the historical database and identifying definitions common to both the change request and the change record. A business mapping tool interfaces with the change request evaluator and determines a business impact of the model change record and associates the business impact with the change request. The change request evaluator approves or rejects the change request.

System and method for a cognitive it change request evaluator

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

Coordinated storage media verification is provided by checking usage of a plurality of storage media, maintaining a storage media check database indicating media verification to be performed for one or more of the plurality of storage media, where the maintaining includes determining and comparing a time since a last load of a selected storage medium to a verification frequency threshold and determining whether media verification of the selected storage medium is to be performed, coordinating media verification of at least one storage medium of the plurality of storage media based on the storage media check database, which coordinating includes selecting at least one storage medium to be verified in an ascertained window of time, and initiating media verification of the selected at least one storage medium.

Coordinated storage media verification

Decomposing and migrating applications by receiving a candidate application, identifying components of the candidate application, analyzing the granularity of components, decomposing a component into sub-components; identifying cloud service provider offerings, mapping the cloud service provider offerings to a technology mapping database, collecting performance information on the cloud service provider offerings, estimating performance associated with deploying sub-components across cloud service provider offerings; and ranking the performance of different deployment scenarios.

Cloud brokerage application decomposition and migration

A system for trading goods over a computer network based on image processing includes an image processor that analyzes a picture received from a user to build a description of entities in the picture and correlations among the entities, a description interpreter that analyzes the description to determine an underlying message in the picture and detect information regarding the user's interests, emotions and affinities to goods and services, wherein the information is stored with the user's profile, the user's list of items to trade, and the user's past transaction history, and a trade matching component that uses the user's profile and produces a ranked list of other users with items to trade, or intermediary trade steps, when another user initiates a new trading transaction.

Method for trading goods on a computer network based on image processing for interest, emotion and affinity detection

Growing community of inventors

Campinas, Brazil

Sergio Varga