Abstract: A system and method are disclosed for private cloud computing and for the development and deployment of cloud applications in the private cloud. The private cloud computing system and method of the present invention include as components at least a cloud controller, a cloud stack, Service Registry, and a cloud application builder.

Abstract: Various embodiments are generally directed to techniques for accurate evaluation of a financial portfolio. Techniques described herein may include an apparatus comprising: a processing circuit; and an approximate computing engine, executed on the processing circuit, operative to process data items corresponding to prices of funds, compute a Net Asset Value (NAV) based on the data items, determine a precision associated with the Net Asset Value (NAV), and based upon a precision metric, determine whether to use the Net Asset Value (NAV) in a business decision. Other embodiments are described.

Abstract: Exemplary embodiments may provide end to end monitoring of the batch cycle processing in a computational environment, such as an application network. The exemplary embodiments may correlate a client facing workload with jobs in the batch cycle processing being performed by the application network. This correlation may be used to identify the effects failures or problems with the jobs have on the client facing workload. Information regarding the effects may be provided to the client via a user interface so that the client is informed in real time or near real time of any computational problems and is informed of how the computational problems are effecting the client facing workload.

Abstract: Techniques to determine document recognition errors are described. In one embodiment, an apparatus may comprise an image reception component operative to receive an incoming document image; a document recognition component operative to perform a document recognition process on the incoming document image to generate a recognized document; and collect document recognition process information for the document recognition process of the incoming document image; a document reconstruction component operative to generate a reconstructed document image based on the document recognition process information; and an image comparison component operative to compare the reconstructed document image to the incoming document image to generate document recognition performance information for the recognized document. Other embodiments are described and claimed.

Abstract: Systems, methods, apparatuses, and computer-readable media for computational model optimization. A plurality of sampled values for a hyperparameter of a computational model may be received, the plurality of sampled values comprising a subset of a plurality of possible values for the hyperparameter, each sampled value associated with a performance metric for the computational model with the sampled value assigned to the hyperparameter. A first candidate value from the plurality of possible values may be determined, the first candidate value having a distance to a first sampled value of the plurality of sampled values that exceeds a threshold distance, wherein the distance is in a space comprising the plurality of possible values. The first candidate value may be assigned to the hyperparameter of the computational model. A first performance metric may be determined for the computational model with the first candidate value assigned to the hyperparameter.

Abstract: The present disclosure describes techniques to forecast financial data using deep learning. These techniques are operative to transform time series data in a financial context into a machine learning model configured to predict future financial data. The machine learning model may implement a deep learning structure to account for a sequence-sequence prediction where a movement/distribution of the time series data is non-linear. The machine learning model may incorporate features related to one or more external factors affecting the future financial data. Other embodiments are described and claimed.

Abstract: Systems, methods, apparatuses, and computer-readable media for guaranteed quality of service (QoS) in cloud computing environments. A workload related to an immutable log describing a transaction may be received. A determination is made based on the immutable log that a first compute node stores at least one data element to process the transaction. Utilization levels of computing resources of the first compute node may be determined. Utilization levels of links connecting the first compute node to the fabric may be determined. A determination may be made, based on the utilization levels, that processing the workload on the first compute node satisfies one or more QoS parameters specified in a service level agreement (SLA). The workload may be scheduled for processing on the first compute node based on the determination that processing the workload on the first compute node satisfies the one or more QoS parameters specified in the SLA.

Abstract: Systems, methods, apparatuses, and computer-readable media for categorized text determination and organization are described. In one embodiment, an apparatus may include a processor and a memory storing instructions which when executed by the processor cause the processor to determine a plurality of contextual text elements in at least one text source, combine the plurality of contextual text elements, classify events associated with at least a portion of the plurality of contextual text elements, and determine text elements related to at least a portion of the contextual text elements. Other embodiments are described.

Abstract: Systems, methods, apparatuses, and computer-readable media for guaranteed quality of service (QoS) in cloud computing environments. A workload related to an immutable log describing a transaction may be received. A determination is made based on the immutable log that a first compute node stores at least one data element to process the transaction. Utilization levels of computing resources of the first compute node may be determined. Utilization levels of links connecting the first compute node to the fabric may be determined. A determination may be made, based on the utilization levels, that processing the workload on the first compute node satisfies one or more QoS parameters specified in a service level agreement (SLA). The workload may be scheduled for processing on the first compute node based on the determination that processing the workload on the first compute node satisfies the one or more QoS parameters specified in the SLA.

Abstract: Logic may process documents, search documents, test controls, and self-heal control management. Logic may ingest and/or process requirements from documents and associate requirements with controls and/or other data types such as issues, events, test results, outputs, questions and answers (Q&As), and/or the like. Logic may train an ingestion engine to identify requirements. Logic may implement automatic control testing including inference and performance of remedial actions. And logic may include self-healing control management including inference of new controls based on uncorrelated requirements, inference of remedial actions based on the new controls, and performance of the remedial actions.

Abstract: Systems, methods, apparatuses, and computer-readable media for computational model optimization. A plurality of sampled values for a hyperparameter of a computational model may be received, the plurality of sampled values comprising a subset of a plurality of possible values for the hyperparameter, each sampled value associated with a performance metric for the computational model with the sampled value assigned to the hyperparameter. A first candidate value from the plurality of possible values may be determined, the first candidate value having a distance to a first sampled value of the plurality of sampled values that exceeds a threshold distance, wherein the distance is in a space comprising the plurality of possible values. The first candidate value may be assigned to the hyperparameter of the computational model. A first performance metric may be determined for the computational model with the first candidate value assigned to the hyperparameter.

Abstract: Systems, methods, apparatuses, and computer-readable media for information ranking and retrieval are described. In one embodiment, an apparatus may include a processor and a memory storing instructions which when executed by the processor cause the processor to access an ingested document, generate a converted document from the ingested document based on a conversion configuration, the converted document comprising at least one paragraph, and generate an index based on the converted document and an index configuration. Other embodiments are described.

Abstract: Systems, methods, apparatuses, and computer-readable media for computational model optimization. A plurality of sampled values for a hyperparameter of a computational model may be received, the plurality of sampled values comprising a subset of a plurality of possible values for the hyperparameter, each sampled value associated with a performance metric for the computational model with the sampled value assigned to the hyperparameter. A first candidate value from the plurality of possible values may be determined, the first candidate value having a distance to a first sampled value of the plurality of sampled values that exceeds a threshold distance, wherein the distance is in a space comprising the plurality of possible values. The first candidate value may be assigned to the hyperparameter of the computational model. A first performance metric may be determined for the computational model with the first candidate value assigned to the hyperparameter.

Abstract: Systems, methods, apparatuses, and computer-readable media for information ranking and retrieval are described. In one embodiment, an apparatus may include a processor and a memory storing instructions which when executed by the processor cause the processor to access an ingested document, generate a converted document from the ingested document based on a conversion configuration, the converted document comprising at least one paragraph, and generate an index based on the converted document and an index configuration. Other embodiments are described.

Abstract: Various embodiments are generally directed to techniques for automated generation of database queries. Techniques described herein may provide an automated database query generation method and system that provides a graphical user interface with one or more user interface items representing records within a database stored on a non-transitory computer-readable storage medium of a server. The server may receive an input from a graphical user interface, the input selecting one or more of the user interface elements. A processor of the server may configure the display of an indication within the graphical user interface that the one or more of the user interface elements has been selected. The processor of the server may automatically generate one or more queries to the database based upon the received input.

Abstract: A system and method are disclosed for private cloud computing and for the development and deployment of cloud applications in the private cloud. The private cloud computing system and method of the present invention include as components at least a cloud controller, a cloud stack, Service Registry, and a cloud application builder.

Abstract: Systems, methods, apparatuses, and computer-readable media for computational model optimization. A plurality of sampled values for a hyperparameter of a computational model may be received, the plurality of sampled values comprising a subset of a plurality of possible values for the hyperparameter, each sampled value associated with a performance metric for the computational model with the sampled value assigned to the hyperparameter. A first candidate value from the plurality of possible values may be determined, the first candidate value having a distance to a first sampled value of the plurality of sampled values that exceeds a threshold distance, wherein the distance is in a space comprising the plurality of possible values. The first candidate value may be assigned to the hyperparameter of the computational model. A first performance metric may be determined for the computational model with the first candidate value assigned to the hyperparameter.

Abstract: Techniques to determine document recognition errors are described. In one embodiment, an apparatus may comprise an image reception component operative to receive an incoming document image; a document recognition component operative to perform a document recognition process on the incoming document image to generate a recognized document; and collect document recognition process information for the document recognition process of the incoming document image; a document reconstruction component operative to generate a reconstructed document image based on the document recognition process information; and an image comparison component operative to compare the reconstructed document image to the incoming document image to generate document recognition performance information for the recognized document. Other embodiments are described and claimed.

Abstract: Systems, methods, apparatuses, and computer-readable media for categorized text determination and organization are described. In one embodiment, an apparatus may include a processor and a memory storing instructions which when executed by the processor cause the processor to determine a plurality of contextual text elements in at least one text source, combine the plurality of contextual text elements, classify events associated with at least a portion of the plurality of contextual text elements, and determine text elements related to at least a portion of the contextual text elements. Other embodiments are described.

Abstract: Systems, methods, apparatuses, and computer-readable media for information ranking and retrieval are described. In one embodiment, an apparatus may include a processor and a memory storing instructions which when executed by the processor cause the processor to access an ingested document, generate a converted document from the ingested document based on a conversion configuration, the converted document comprising at least one paragraph, and generate an index based on the converted document and an index configuration. Other embodiments are described.