Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method, system and computer readable program storage device for managing personalized nutrition. In an embodiment, the method comprises acquiring with a portable device a collection of physical metrics of a user; storing the collection of physical metrics on the portable device; and linking the stored physical metrics with information about the user, pre-stored on a separate storage device, to determine nutrition for the user. The linking is augmented with information obtained over the Internet to identify a place to obtain said nutrition for the user. In an embodiment, the portable device is used to measure a glucose level of the user; the glucose level of the user is compared with thresholds stored in the separate storage device; and based on these thresholds, the portable device issues a warning to the user to additional parties.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An apparatus for generating electricity in a computer rack includes a plurality of thermoelectric generator modules secured in a planar assembly having a first side and a second side, wherein each thermoelectric generator module has a first thermally conductive substrate exposed on the first side of the planar assembly and a second thermally conductive substrate exposed on the second side of the planar assembly, and wherein the plurality of thermoelectric generator modules are operatively coupled in a circuit to supply electrical current. The apparatus further comprises a first duct for directing a first fluid stream across the first side of the planar assembly to supply heat to the first thermally conductive substrate, and a second duct for directing a second fluid stream across the second side of the planar assembly to withdraw heat from the second thermally conductive substrate.