Abstract: An apparatus comprises a processing device configured to obtain monitoring data characterizing resource utilization by information technology (IT) assets having resources assigned from a shared resource pool, to select features for use in modeling predicted resource utilization by the IT assets in future time periods, to generate predictions of resource utilization by the IT assets in each of the future time periods, and to determine whether the predicted resource utilization by a given IT asset exhibits at least a threshold difference from its current resource allocation. The processing device is further configured, response to the determination, to proactively adjust resource allocation to the given IT asset from the shared resource pool for the given future time period based at least in part on the predicted resource utilization, for the given future time period, by other ones of the IT assets having resources assigned from the shared resource pool.

Abstract: This disclosure provides transgenic plants having enhanced traits such as increased yield, enhanced nitrogen use efficiency and enhanced drought tolerance; propagules, progeny and field crops of such transgenic plants; and methods of making and using such transgenic plants. This disclosure also provides methods of producing hybrid seed from such transgenic plants, growing such seed and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: Methods, apparatus, and processor-readable storage media for generating data replication configurations using AI techniques are provided herein. An example computer-implemented method includes obtaining input data pertaining to at least one data replication operation; determining a set of configuration parameters for the at least one data replication operation by applying one or more AI techniques to at least a portion of the input data; and performing one or more automated actions based at least in part on the determined set of configuration parameters for the at least one data replication operation.

Abstract: Methods, apparatus, and processor-readable storage media for identifying and remediating anomalies through cognitively assorted machine learning algorithms are provided herein. A computer-implemented method includes: identifying, using system log data, a target variable based at least in part on correlations between a set of performance indicators of a system and the target variable, and threshold values for the performance indicators relative to the target variable; generating an inference model to predict when the system will enter an adverse state and identify one or more root causes of the system entering the adverse state; using machine reinforcement learning to determine an action policy including actions that remediate the adverse state; predicting that the system will enter the adverse state by applying the inference model to further system log data; and automatically executing one or more actions of the action policy in response to the prediction.

Abstract: This disclosure provides transgenic plants having enhanced traits such as increased yield, enhanced nitrogen use efficiency and enhanced drought tolerance; propagules, progeny and field crops of such transgenic plants; and methods of making and using such transgenic plants. This disclosure also provides methods of producing hybrid seed from such transgenic plants, growing such seed and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: This disclosure provides transgenic plants having enhanced traits such as increased yield, enhanced nitrogen use efficiency and enhanced drought tolerance; propagules, progeny and field crops of such transgenic plants; and methods of making and using such transgenic plants. This disclosure also provides methods of producing hybrid seed from such transgenic plants, growing such seed and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: Methods, apparatus, and processor-readable storage media for generating data replication configurations using AI techniques are provided herein. An example computer-implemented method includes obtaining input data pertaining to at least one data replication operation; determining a set of configuration parameters for the at least one data replication operation by applying one or more AI techniques to at least a portion of the input data; and performing one or more automated actions based at least in part on the determined set of configuration parameters for the at least one data replication operation.

Abstract: Methods, apparatus, and processor-readable storage media for identifying and remediating anomalies through cognitively assorted machine learning algorithms are provided herein. A computer-implemented method includes: identifying, using system log data, a target variable based at least in part on correlations between a set of performance indicators of a system and the target variable, and threshold values for the performance indicators relative to the target variable; generating an inference model to predict when the system will enter an adverse state and identify one or more root causes of the system entering the adverse state; using machine reinforcement learning to determine an action policy including actions that remediate the adverse state; predicting that the system will enter the adverse state by applying the inference model to further system log data; and automatically executing one or more actions of the action policy in response to the prediction.

Abstract: This disclosure provides transgenic plants having enhanced traits such as increased yield, enhanced nitrogen use efficiency and enhanced drought tolerance; propagules, progeny and field crops of such transgenic plants; and methods of making and using such transgenic plants. This disclosure also provides methods of producing hybrid seed from such transgenic plants, growing such seed and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.