International Business Machines Corporation

Green Market Square Limited

Ecobee Inc.

Thiago Cesar Rotta

Sergio Varga

Marco Aurelio Stelmar Netto

Breno H Leitao

Mahdad Majd

Jørgen E Borup

Kris Blöndal

Rodrigo C Castro

Adan Rosler

Carlos Alberto Francisco

Rafael C S Folco

Lucas Goncalves Franco

Edson Gomes Pereira

Thiago Rodrigues De Souza Costa

Leonardo Rangel Augusto

Tiago N Santos

Daniela Kern Mainieri Trevisan

Lucas Riberto De Lima

Julio Cesar Casadio Telles

Sergio Antonio Toso Junior

Antonio Manuel Sant Ana Monteiro Torres

Jorgen Emil Borup

Sergio A T Junior

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

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

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, information identifying the second workload and a manner in which the second workload accessed the particular data hosted by the first workload can be stored to a data storage.

A router system includes a router, a memory storing a client program, and a processor configured to execute the client program. The client program is configured to enable a user to transfer a file from a source to a destination, determine whether data within the file includes sensitive information, determine a probability that transmission of the data from the source to the destination would violate a policy, send normal data packets to the router based on the file, and send a stop data packet to the router when the probability exceeds a threshold. The router forwards the normal data packets to the destination until the router receives the stop data packet.

System to prevent export of sensitive data

Managing an entryway for a building includes a computer system accessing identity data providing unique biometric identifications and associated names for respective people. Roles are stored and associated with people. Rules are stored and configured to define roles or people and define conditions and actions. A certain rule includes presence of a person at an entryway and a person in at a different location than the entryway as a condition. A named person is identified by the computer system comparing identity data to biometric data received for a person at the entryway. The computer system performs a defined action for the certain rule responsive to determining that the certain rule defines a role associated with the identified, named person at the entryway and responsive to detecting by a sensor in the building that a person is present in the building at a different location than the entryway.

Entry technology for building automation

As disclosed herein, a method, executed by a computer, includes comparing a current power consumption profile for a computing task with an historical power consumption profile, receiving a request for a computing resource, granting the request if the historical power consumption profile does not suggest a pending peak in the current power consumption profile or the historical power consumption profile indicates persistent consumption at a higher power level, and denying the request for the computing resource if the historical power consumption profile suggests a pending peak in the current power consumption profile and the historical power consumption profile indicates temporary consumption at the higher power level. Denying the request may include initiating an allocation timeout and subsequently ending the allocation timeout in response to a drop in a power consumption below a selected level. A computer system and computer program product corresponding to the method are also disclosed herein.

Virtual computing power management

A computer system accesses identity data providing unique biometric identifications and associated names for respective people. Roles are stored and associating ones of the roles are associated with ones of the people. Rules are stored, wherein each rule is configured to define one of the roles or people and define a condition and an action. The computer system receives from a device at an entryway, biometric data for a person. A named person is indicated for the received biometric data by the identity data accessed by the computer system. The computer system selects a rule corresponding to the identified person or to one of the defined roles for the identified person. The computer system performs the defined action for the selected rule when a current condition satisfies the defined condition for the selected rule.

In a method for intelligently monitoring and dispatching an Information Technology (IT) service alert, a computer receives a service error alert and classifies the service error alert. The computer assigns the service error alert, based on the service error alert class. The computer monitors the progress of the resolution of the service error alert.

Intelligently monitoring and dispatching information technology service alerts

The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for managing a batch production system. In an illustrative embodiment, an application forecast is generated for a set of batch jobs in a critical path of a batch application. The application forecast comprises a sum of execution times for the batch jobs in the critical path. In response to detecting an abend from production data generated during the execution of the batch application, the abend is mapped against known abends in an abend database to identify a set of abend solutions. Thereafter, a notification is generated which comprises at least one of a status of the batch application and the set of abend solutions, wherein the status is generated based on the application forecast.

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Campinas, Brazil

Thiago Cesar Rotta