Abstract: An embodiment includes identifying a robot that is available to perform a task involving an asset in a data center. The embodiment transmits a script to the robot that includes commands corresponding to actions to be executed by the robot in performing the task and transmits a dispatch command to the robot configured to enable the robot to travel from a robot resting place to the asset to begin the task. The embodiment relays a verification request received from the robot after the robot has completed a portion of the task to the vendor. The embodiment also relays, responsive to the verification request, an updated script based on updated instructions from the vendor for dynamically modifying the task to correcting an irregularity. The embodiment transmits, responsive to completion of the task, a recall command to the robot configured to enable the robot to travel from the asset to the robot resting place.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining social network data of a user, wherein the social network data specifies social network connections of the user; obtaining from the user voice data defining a vocal utterance request of the user; converting the voice data defining the vocal utterance request of the user into a text based message; subjecting the text based message to natural language processing; determining a response message to the vocal utterance request of the user, wherein the determining the response data to the vocal utterance request of the user is performed in dependence on the examining of the social network data of the user; and presenting the response message to the user.

Abstract: Electric vehicle charging reservation timeslot reallocation includes determining, in connection with an electric vehicle (EV) traveling to a destination, arrival parameters of the EV to arrive at the destination and a charging requirement of the EV to reach the destination within the arrival parameters, identifying reserved charging reservation timeslot(s) at EV charging station(s) along a route to the destination that satisfy the arrival parameters and charging requirement of the EV, determining, using an AI model configured to determine reallocations of charging reservations at electric vehicle charging stations, a proposed reallocation of a reserved charging reservation timeslot of the reserved charging reservation timeslot(s), the reserved charging reservation timeslot owned by an entity, and the proposed reallocation comprising a proposal for the entity to give up at least a portion of the reserved charging reservation timeslot to charge the EV, and electronically offering the proposed reallocation to th

Abstract: A method includes generating, by a computing device, SSID aliases; propagating, by the computing device, the SSID aliases to access points; receiving, by the computing device, data from an access point, the data including a selected SSID alias and a media access control (MAC) address of a user device; creating, by the computing device, a record containing the selected SSID alias and the MAC address of the user device; propagating, by the computing device, the selected SSID alias to remaining access points; and sending, by the computing device, a message to the access points to delete the selected SSID alias after a time period.

Abstract: Control system for facilitating wireless charging of an electronic device is provided, which identifies presence of multiple electronic devices within an environment, with the multiple electronic devices including a self-propelled power relay device with wireless charging capability. Control system processing determines that an electronic device of the multiple electronic devices requires wireless charging, and based on the determining, deploys the self-propelled power relay device to move to an area of the environment within a charging range of the electronic device to facilitate wireless charging of the electronic device via the self-propelled power relay device.

Abstract: A method and related apparatus adaptively control snapshot replication of a plurality of server snapshots in a multi-tenant public cloud using snapshot service. A plurality of snapshot requests are received from a plurality of clients in the multi-tenant public cloud and are each associated with a service level agreement (SLA). The SLA includes a corresponding completion deadline and a slippage penalty. A probabilistic model calculates, for active snapshot flows, a completion time for each of the snapshot requests. If any of the predicted completion times exceed their corresponding completion deadlines, a possible MISS event is produced for an associated first snapshot. The snapshot controller component, in response to producing the possible MISS event, minimizes a probability of breaching fulfilment times for the multi-tenant cloud. The slippage penalty is calculated for each of the plurality of snapshot requests. A second snapshot is identified from among the plurality of snapshot requests.

Abstract: A system includes a container cluster including plural hosts that communicate with one another via a network. Each of the plural hosts includes a computing node that includes an operating system and a container runtime configured to run containers. Each of the plural hosts stores a respective member list that defines capabilities of the plural hosts in the container cluster. Each of the plural hosts is configured to identify another one of the plural hosts for running a container based on comparing tags of the container to the capabilities of the plural hosts defined in the respective member list. Each respective one of the plural hosts is configured to perform the identifying the another one of the plural hosts for running the container in response to determining the respective one of the plural hosts is resource-constrained from running the container.

Abstract: A method includes: in response to identifying a primary user and corresponding Primary AI Assistant for a meeting, receiving by the Primary AI Assistant a confirmation to enroll at least one user personal digital assistant (PDA) of a respective one of at least one user; prompting the at least one user to provide descriptive information associated with the respective user PDA; connecting the at least one user PDA to the Primary AI Assistant internally by the Primary AI Assistant using the descriptive information for submitting requests; identifying by the Primary AI Assistant keywords and phrases received from the at least one user or primary user in the meeting; determining by the Primary AI Assistant a scheduling item based on the identified keywords and phrases; and automatically providing by the Primary AI Assistant the scheduling item to at least one user PDA corresponding to the scheduling item using the descriptive information.

Abstract: Technology for storing legal hold data in the cloud (for example, in containers), where the source of the data stored in the cloud is independent backup copy(ies) that are maintained by an enterprise subject to a legal hold order. Changing the legal hold data as it is stored in the set of backup copy(ies) in a manner will not change the legal hold data as it is stored in the cloud. Mechanism may also be provided for auditing chain of custody and authenticating parties who request legal hold data to be delivered from cloud storage.

Abstract: According to one embodiment, a method, computer system, and computer program product for cloud service brokerage. The embodiment may include receiving a data set and user defined contextual parameters relating to a machine learning (ML) problem of a user to be performed on the data set. The embodiment may include identifying a resource requirement of the ML problem and available resources. The embodiment may include enabling user configuration of the contextual parameters in an interactive augmented reality (AR) view. The embodiment may include identifying a set of clusters upon which to execute computing tasks of the ML problem. The set of clusters is identified out of the available resources. The embodiment may include implementing a ML evaluation process to determine an optimized load distribution model for execution of the computing tasks within the set of clusters. The embodiment may include implementing the optimized load distribution model.

Abstract: A computer remediates data quality issues in a consolidated data record includes elements from several datasets, comprising. The computer determines, based at least in part on dataset feed information, dataset flow quality value for first and second datasets for a consolidated data record resulting from combining a plurality of datasets. The datasets include associated metadata. The computer, responsive to flow quality value determinations, compares dataset flow quality values with a predetermined dataset flow quality threshold and conducts a correction action for datasets with dataset flow quality value beyond the threshold. The computer determines, based at least in part on said dataset element health information, dataset health quality values for the datasets.

Abstract: 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.

Abstract: A computer-implemented method, in accordance with one embodiment, includes collecting data from a plurality of predefined functional areas in a particular geographical area in which a plurality of physical objects are located, at least some of the data relating to vandalism. Wrangling is performed on the data to correlate the data from the functional areas with respective ones of the physical objects. The wrangled data corresponding to each of the physical objects is transformed into features corresponding to a the functional areas. For each of the physical objects, the features are processed according to predefined rules for generating a rank for each of the functional areas. Dynamic weights are computed for at least some of the features to account for data drift by comparing historical data with latest data. The ranks and dynamic weights are transformed into a vandalism score for each of the physical objects, which is output.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining target application container configuration data to identify one or more target container base image referenced in the target application container configuration: subjecting script data associated to the one or more target container base image to text based processing for evaluation of security risk associated to the one or more container base image, the script data obtained from at least one candidate hosting computing environment; and selecting a hosting computing environment from the at least one computing environment for hosting the target application container, the selecting in dependence on the text based processing.

Abstract: An example operation may include one or more of capturing a current version of sensitive data by a data processor node, hashing, by the data processor node, the current version of the sensitive data, storing, by the data processor node, a hash of the current version of the sensitive data on a first blockchain, encrypting, by the data processor node, the current version of the sensitive data using a secret key, and storing the encrypted current version of the sensitive data on a second blockchain.

Abstract: Controlling autonomous vehicle (AV) functions includes receiving occupant identification data from device(s) of an AV and identifying occupant(s) of the AV based on the received occupant identification data, determining a respective prioritization level for each occupant of the occupant(s), the prioritization level for each occupant dictating priority of the AV in performing commands provided to the AV by that occupant to control AV functions, receiving, from an occupant, input of a command for performance by the AV to control a function of the AV, determining whether to perform the command to control the function of the AV based on the prioritization level for the occupant, and performing processing based on the determining whether to perform the command.

Abstract: A method is provided that includes configuring a cellular phone to function as a mobile debit card by installing an application for contactless interfacing with ATMs. The method supplements the application with a neural network (NN) based biometric verification process configured to reduce an incorrect user error value over time to increasingly harden the application to undesired intrusion. The NN based biometric verification process comprises: performing an initial face recognition; greeting the user with one of a plurality of questions in a specific language of the user and evaluating a pre-defined answer provided from the user in the specific language; and detecting, in an acoustic utterance having dialogue in support of an ATM session, a voice and a prosody style indicative of the user in combination with lip and face movements made by the user corresponding to and in synchronization with the acoustic utterance.

Abstract: Aspects of the present disclosure relate to transaction authorization. Image data of a user can be received while a transaction occurs. The image data can be analyzed to determine whether the user viewed a display indicating characteristics of the transaction. The transaction can be authorized in response to determining that the user viewed the display indicating the characteristics of the transaction.

Abstract: A computer-implemented method, in accordance with one aspect of the present invention, includes collecting data existing in a development system that relates to the code change request, in response to receiving a code change request to merge new code with existing code. Factors from the collected data are computed for assessing a risk of promoting the new code, the factors including at least: a developer information factor, a developer availability factor, and an environment health analysis factor. The factors are processed to compute a confidence score for the code change request. If the confidence score is in a first predefined range, the new code corresponding to the code change request is promoted for merging with the existing code, without human intervention. If the confidence score is in a second predefined range, an indication that human intervention is needed before promoting the code is output.

Abstract: Methods, computer program products, and systems are presented. The method, computer program products, and systems can include, for instance: receiving personal inputs regarding a first individual, the first individual previously having given informed consent, automatically generating a work profile for the first individual based on the plurality of personal inputs; based on the work profile of the first individual and a preexisting work profile of a second individual, predicting a work affinity indicator for the first individual and the second individual, the predicting including using an affinity model trained via ensemble learning; and providing the work affinity indicator to a user for optional consideration in making a work-related or employment-related decision.