Abstract: A computer implemented method processes alerts. A computer system creates a representation of an alert received for processing. The computer system determines a similarity of the alert with previously processed alerts using the representation of the alert and representations of the previously processed alerts. A first evaluator in the computer system evaluates an alert level for the alert based on previously processed similar alerts in response to the similarity being above a similarity threshold for similar alerts. A second evaluator in the computer system evaluates, the alert level for the alert using a machine learning model in response to the similarity not being above the similarity threshold.

Abstract: A method for automatically providing instructional content based on wearable data from a wearable device is provided. The method may include automatically tracking and receiving, via the wearable device, real-time wearable data associated with a user and a detected user activity including automatically detecting body sensor data associated with the user and corresponding to the detected user activity. The method may also include automatically determining whether the tracked and received real-time wearable data associated with the user and the user activity indicates a user frustration event. The method may further include in response to automatically determining that the tracked and received real-time wearable data associated with the user and the user activity indicates the user frustration event, automatically retrieving and presenting the instructional content from instructional material related to the user activity and the user frustration event.

Abstract: An embodiment senses a thermal event in a data center, responsive to the sensed thermal event, identifies an affected server, and decides to migrate a workload from the affected server to a target server. The embodiment senses a performance metric, a temperature and a proximity from the thermal event for each of a plurality of servers, responsive to the sensed performance metric, the temperature and the proximity, computes a weighted score. The embodiment generates a ranking based on the weighted score of each of the plurality of servers. The embodiment selects the target server from the plurality of servers according to the ranking.

Abstract: Requests are received from viewing users for rendering a virtual world in a computing environment that mimics real world, where at least one user appears in the virtual world. For each of the viewing users, a processor determines a group to which a viewing user belongs, determines a virtual representation of the at least one user that is mapped to the group, and renders the virtual representation of the at least one user in the virtual world to a device associated with the viewing user. Based on the determined mapping of the group to the virtual representation, the virtual representation of the at least one user rendered on the device associated with the viewing user appears at the same time differently from the virtual representation of the at least one user rendered on another device associated with another viewing user among the viewing users.

Abstract: A method, computer system, and a computer program product for environment monitoring. Exemplary embodiments may include emitting one or more soundwaves within an environment, detecting the emitted one or more soundwaves, and identifying motion of an object within the environment based on an analysis of the detected one or more soundwaves.

Abstract: A computer-implemented method for displaying advertisements. The method includes associating feature metadata with a product video advertisement of a product. The method includes identifying, based on the feature metadata, a feature of the product corresponding with a section of the product video advertisement when a triggering event is detected during playing of the product video advertisement. The method includes displaying a second product video advertisement of a second product that includes the feature of the product.

Abstract: A method for dynamically rearranging one or more packages for delivery on a delivery vehicle in response to unforeseen changes in a pre-planned delivery route. The method detects, via one or more sensor-enabled shelves in a delivery vehicle, an address and package details of a respective delivery package. The method further integrates the one or more sensor-enabled shelves with a route map that depicts the pre-planned delivery route. The method further assigns new values to the one or more sensor-enabled shelves, in response to a change in the pre-planned delivery route, indicating a new sequence of delivery for each respective delivery package. The method further notifies a delivery person which delivery package is to be delivered at a current stop by illuminating the one or more sensor-enabled shelves containing the respective delivery package.

Abstract: Embodiments of the present invention provide an approach for authenticating video data utilizing a contextual identifier. Specifically, a set of video data including contextual identifiers is captured. A respective cryptographic signature for each frame of the set of video data is generated utilizing metadata of the respective frame. Each frame of the set of video data and the respective cryptographic signature are stored on a blockchain, and the set of video data is authenticated utilizing the respective cryptographic signatures stored on the blockchain.

Abstract: Described are techniques for bandwidth allocation in container orchestration systems. The techniques include monitoring storage bandwidth designated for one or more storage operations in association with one or more storage volumes attached to a server that hosts containerized applications, where a fixed amount of bandwidth provided to the server is divided between the storage bandwidth available for the one or more storage operations and network bandwidth available for network operations. The techniques further include determining that increasing the storage bandwidth will improve performance of at least one of the one or more storage operations. The techniques further include identifying an amount of the network bandwidth as being available for reallocation to the storage bandwidth, and reallocating the amount of the network bandwidth to the storage bandwidth for use in performing the one or more storage operations.

Abstract: Embodiments of the present disclosure provide systems and methods for synchronizing an unaligned audio stream and a corresponding unaligned video stream of real time streaming media. A non-limiting disclosed method comprises performing, using a video classifier, video reference point classification of a video stream based on an audio-video dataset; performing, using an audio classifier, audio reference point classification of the audio stream based on the audio-video dataset. The system correlates object related reference points in video segments of the video stream and in audio segments of the audio stream to identify a set of audio-video synchronization candidates. The system compares context of the set of audio-video synchronization candidates to identify an audio-video synchronization candidate to synchronize the audio stream and video stream based on reference point alignment.

Abstract: Aspects of the present disclosure relate generally to robotic process automation (RPA) and, more particularly, to systems, computer program products, and methods of accelerating RPA tasks that interact with web pages with machine learning generation of network requests. For example, a computer-implemented method includes receiving, by a processor, plural runtime variables of a bot executing client-side web application code; generating, by the processor, a network request from a machine learning model given input of the plural runtime variables of the bot; and sending, by the processor, the network request generated from the machine learning model to the bot.

Abstract: The illustrative embodiments provide for signature discourse transformation. An embodiment includes detecting a signature discourse of a user by analyzing the user's discourse using corpus linguistics. The embodiment also includes generating computing a collection of words distinct to the user. The embodiment also includes sensing, using tone analysis and a natural language process model, a tone of the collection of words distinct to the user in the signature discourse utterance. The embodiment also includes mapping a cartesian value of the collection of words distinct to the user. The embodiment also includes deriving a signature discourse transformation (SDT) model from the signature discourse utterances, the collection of words, the tone, and the cartesian value. The embodiment also includes transforming, using the signature discourse transformation, an original discourse by the user into an anonymized text.

Abstract: Embodiments of the present disclosure provide systems and methods for synchronizing an unaligned audio stream and a corresponding unaligned video stream of real time streaming media. A non-limiting disclosed method comprises performing, using a video classifier, video reference point classification of a video stream based on an audio-video dataset; performing, using an audio classifier, audio reference point classification of the audio stream based on the audio-video dataset. The system correlates object related reference points in video segments of the video stream and in audio segments of the audio stream to identify a set of audio-video synchronization candidates. The system compares context of the set of audio-video synchronization candidates to identify an audio-video synchronization candidate to synchronize the audio stream and video stream based on reference point alignment.

Abstract: Data transformation and data quality checking is provided by reading data from a source datastore and storing the data into memory, performing in-memory processing of the data stored in memory, where the data is maintained in-memory for performance of the in-memory processing thereof, and where the in-memory processing includes performing one or more transformations on the data stored in memory, in which the data stored in memory is transformed and stored back into the memory and applying one or more data quality rules to the data stored in-memory, and based on performing the in-memory processing of the data stored and maintained in memory for the in-memory processing, loading to a target datastore at least some of the data processed by the in-memory processing.

Abstract: A processor may receive first sensor data associated with detected movement of a user in an environment. The processor may determine, using an AI model, based on the first sensor data, that the movement of the user is associated with a first object. The processor may retrieve sensory data associated with the first object from a repository. In some embodiments, the sensory data may include at least one of auditory, olfactory, and haptic data associated with historical user interactions with the first object. The processor may provide a first sensory signal to the user to indicate a location of the first object relative to a first location of the user.

Abstract: Systems, methods and/or computer program products for managing the temperature of datacenter during a period of malfunction or inoperability of the cooling system responsible for maintaining temperatures within the datacenter. Temperatures of the datacenter's computing systems are monitored by thermal imaging systems and/or sensors. Computing systems are also monitored for how frequently the systems are accessed during a defined period of time and the number of mission critical deployments by each computing system. Collected parameters, including temperature, frequency of access and number of running mission critical applications are imputed into a scoring algorithm which uses the collected parameters and weightings to generate a ranking of computing systems to shutdown sequentially in response to rising temperatures.

Abstract: A method, a computer program product, and a computer system position a plurality of sensors in an area. The method includes receiving data from the sensors positioned at respective first locations where the data is indicative of weather and environmental parameters. The method includes determining weather conditions and an environmental condition based on the weather and environmental parameters. The method includes determining an impact to the environmental condition by the weather conditions. The method includes determining a second location for the sensors based on the impact to the environmental condition. The sensors are configured to generate further environmental parameters with an increased granular level at the second location. The method includes transmitting instructions to a delivery robot to move the sensors to the second location.

Abstract: A processor may identify that there is a disruption in an environment. The processor may converge a group of two or more devices. The group of two or more devices may be converged in a geofenced area. The processor may limit the usage of the group of the two or more devices to the usage of one of the two or more devices at a time.

Abstract: A computer-implemented method, a computer program product, and a computer system for synchronizing audio and video using pause gap analysis. A computer splits a video into an audio stream and a video stream. A computer identifies time points at which there is no sound in the audio stream and derives pause gaps in the audio stream. A computer applies a binary classifier to predict sound presence or absence in frames of the video stream and derives pause gaps in the video stream. A computer identifies desynchronization between the pause gaps in the video stream and the pause gaps in the audio stream. A computer aligns the pause gaps in the video stream with the pause gaps in the audio stream, based on metadata of the pause gaps in the video stream.

Abstract: A method, computer system, and a computer program product for environment mapping is provided. The present invention may include generating a digital twin, wherein the digital twin is a digital representation of a smart building. The present invention may include applying the digital twin to a second building. The present invention may include providing an implementation assessment, wherein the implementation assessment includes at least the environmental impact of preferences of a user in the second building.