Abstract: Disclosed herein are system, method, and computer program product embodiments for synchronizing data in a source system to an application without relying on middleware. An embodiment operates by performing an initial load of records for an object for an application from a source system, thereby retrieving a first set of records. The embodiment first maps the first set of records to the object using a transform template. The embodiment creates the object in the application using the first set of records based on the first mapping. The embodiment performs a delta load of records for the object from the source system, thereby retrieving a second set of records. The embodiment second maps the second set of records to the object using the transform template. The embodiment then updates the object using the second set of records based on the second mapping.

Abstract: Methods and systems for reporting CSI and selecting optimal beams using ML. The CSI report is sent to a gNB, which includes feedback parameters, computed and predicted using ML. The feedback parameters are computed using measurements performed using CSI-RS. Values of the feedback parameters likely at future, based on channel variation and the measurements, are pre-dieted using ML. The computed and predicted feedback parameters are included in the CSI report. Optimal CSI-RS resource allocation and optimal CSI reporting periodicity are determined using ML and sent to the gNB. The CSI report is encoded using the ML based model. The RSRP of the beams are predicted using ML for beam selection.

Abstract: Systems and methods related to controlling clock signals for clocking shader engines modules (SEs) and non-shader-engine modules (nSEs) of a graphics processing unit (GPU) are provided. One or more dividers receive a clock signal CLK and output a clock signal CLKA to the SEs and output a clock signal CLKB to the nSEs. The frequencies of CLKA and CLKB are independently selected based on sets of performance counter data monitored at the SEs and nSEs, respectively. The clock signal frequency for either the SEs or the nSEs is reduced when the corresponding sets of performance counter data indicates a comparatively lower processing workload for the SEs or for the nSEs.

Abstract: Systems, computer program products, and methods are described herein for secure channel selection for multi-factor authentication using non-fungible electronic resources.

Abstract: The present disclosure involves systems, software, and computer implemented methods for an artificial intelligence work center for ERP data. One example method includes receiving scenario and model settings for an artificial intelligence model for a predictive scenario. A copy of the dataset is processed based on settings to generate a prepared dataset that is provided with the settings to a predictive analytical library. A trained model trained and evaluation data for the trained model is received from the predictive analytical library. A request is received to generate a prediction for the predictive scenario for a target field for a record of the dataset. The record of the dataset is provided to the trained model and a prediction for the target field for the record the dataset is received from the model. The prediction is included for presentation in a user interface that displays information from the dataset.

Abstract: Systems and methods for utilizing microphone array information for acoustic modeling are disclosed. Audio data may be received from a device having a microphone array configuration. Microphone configuration data may also be received that indicates the configuration of the microphone array. The microphone configuration data may be utilized as an input vector to an acoustic model, along with the audio data, to generate phoneme data. Additionally, the microphone configuration data may be utilized to train and/or generate acoustic models, select an acoustic model to perform speech recognition with, and/or to improve trigger sound detection.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for multimodal and distributed database system structured for dynamic latency reduction. In this regard, the invention comprises a unified data layer structured to map a plurality of data storage mechanisms to a common abstraction and a query engine structured for heterogenous domain based data extraction without requiring input of schema-based queries. In some embodiments, the invention comprises determining (i) one or more data components and (ii) one or more associated data domains associated with the first domain-based query by parsing the user input based on derived metadata from data dictionaries associated with a unified data layer system component. Moreover, the invention is configured to extract stored data from each of a plurality of databases based on the associated one or more data domains.

Abstract: A request for one or more files is received. It is determined that the requested one or more files have been archived at an archival storage tier. Access to a first portion of the one or more requested files stored at the archival storage tier is requested. Access is provided to the first portion in response to the request. Based at least in part on a metric associated with a utilization of the first portion, it is determined when to request access to a second portion of the one or more requested files stored at the archival storage tier.

Abstract: An archival storage of data backed up from a repository storage of a primary storage is maintained. Access to data stored in archival storage is limited by one or more access policies based on whether a corresponding data restore has been authorized. A request for specific data stored in the archival storage is received. The one or more access policies are automatically managed based on status and timing of one or more data restore authorizations for the specific data stored in the archival storage.

Abstract: Systems, computer program products, and methods are described herein for implementing a data driven channel for query executions using quantum computing. The present invention is configured to receive, from a user input device, a query; parse, using a query processing engine, the query; determine a classical execution plan based on at least parsing the query; convert, using a query optimization engine, the classical execution plan into a quantum execution plan; initiate a query execution engine on the quantum execution plan; determine, using the query execution engine, a quantum circuit design for execution of the quantum execution plan; execute, using the query execution engine, the quantum execution plan; generate a query result based on at least executing the quantum execution plan; and transmit control signals configured to cause the user input device to display the query result.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for multimodal and distributed database system structured for dynamic latency reduction. In this regard, the invention comprises a unified data layer structured to map a plurality of data storage mechanisms to a common abstraction and a query engine structured for heterogenous domain based data extraction without requiring input of schema-based queries. In some embodiments, the invention comprises determining (i) one or more data components and (ii) one or more associated data domains associated with the first domain-based query by parsing the user input based on derived metadata from data dictionaries associated with a unified data layer system component. Moreover, the invention is configured to extract stored data from each of a plurality of databases based on the associated one or more data domains.

Abstract: Systems, computer program products, and methods are described herein for secure channel selection for multi-factor authentication using non-fungible electronic resources.

Abstract: Systems, computer program products, and methods are described herein for implementing a data driven channel for query executions using quantum computing. The present invention is configured to receive, from a user input device, a query; parse, using a query processing engine, the query; determine a classical execution plan based on at least parsing the query; convert, using a query optimization engine, the classical execution plan into a quantum execution plan; initiate a query execution engine on the quantum execution plan; determine, using the query execution engine, a quantum circuit design for execution of the quantum execution plan; execute, using the query execution engine, the quantum execution plan; generate a query result based on at least executing the quantum execution plan; and transmit control signals configured to cause the user input device to display the query result.

Abstract: A production cluster executes a workload, such that jobs associated with the executed workload are allocated, according to a first configuration. A cluster monitor extracts production cluster information from the production cluster, monitors configuration information during execution of the workload, and transmits each to a cluster tuner. The cluster tuner receives the information and determines a first recommended configuration for the production cluster. The cluster tuner causes the test cluster to execute a simulated workload according to the first recommended configuration. In response to determining that the first recommended configuration results in a decrease in resource consumption, the cluster tuner causes the production cluster to operate according to the first recommended configuration.

Abstract: Determining which edge nodes should be used for data feed preprocessing based on response time between the edge nodes and the sources and network bandwidth usage. Edge node determination does not rely on which edge node is closest in physical proximity to the source, but rather makes a determination that minimizes transmission time and ensures network bandwidth usage is minimized. Machine learning models associated with source and edge node are trained over time based on observed response times and/or network bandwidth utilization, subsequently the models are executed with bandwidth network set to zero and the model outputting the lowest response time is deemed to be the edge node that is used.

Abstract: A request for one or more files is received. It is determined that the requested one or more files have been archived at an archival storage tier. Access to a first portion of the one or more requested files stored at the archival storage tier is requested. Access is provided to the first portion in response to the request. Based at least in part on a metric associated with a utilization of the first portion, it is determined when to request access to a second portion of the one or more requested files stored at the archival storage tier.

Abstract: An illustrative embodiment disclosed herein is an apparatus including a processor having programmed instructions that identify a temporary bucket linked to one or more objects of a main bucket, detect that an object is uploaded to the main bucket, determine whether the object has an object attribute satisfying an object attribute relationship, and responsive to determining that the object has the object attribute that satisfies the object attribute relationship, add, to the temporary bucket, a link to the object.

Abstract: A request for one or more files is received. It is determined that the requested one or more files have been archived at an archival storage tier. Access to a first portion of the one or more requested files stored at the archival storage tier is requested. Access is provided to the first portion in response to the request. Based at least in part on a metric associated with a utilization of the first portion, it is determined when to request access to a second portion of the one or more requested files stored at the archival storage tier.

Abstract: A system includes a production cluster with a first plurality of nodes. The production cluster executes a workload. Jobs associated with the workload are allocated, according to a first configuration, across the first plurality of nodes. A workload simulator is coupled to the production cluster and a test cluster. The workload simulator extracts production cluster data, which includes production capability information, workload data, and production cluster usage information, as well as test capability information. The workload simulator determines a first job type to include in a simulated workload to be executed on the test cluster and a number of jobs of the first job type to include in the simulated workload. The system also includes a test cluster which includes a second plurality of nodes. The second plurality of nodes includes fewer nodes than does the first plurality of nodes. The test cluster executes the simulated workload.

Abstract: Preprocessing of data destined for storage in a data lake is accomplished upstream, such as at edge nodes. The preprocessing includes filtering data that is deemed to be unnecessary for subsequent analytical use purposes. An initial intelligent determination is performed on whether a data feed is to be preprocessed at (i) the data lake, or (ii) upstream of the data lake, such as at an edge node. Once upstream preprocessing has been determined, an intelligent determination of which edge node is to be chosen for preprocessing is performed. The determination on which edge node is to be chosen for preprocessing is based on response times between the application server and the edge nodes and network bandwidth usage encountered by the network transmitting the data feed.