Abstract: A distributed computer system is provided. The distributed computer system includes at least one sequencer computing node and at least one matcher computing node. Electronic data messages are sequenced by the sequencer and sent to at least matcher computing node. The matcher computing node receives the electronic data messages and a reference value from an external computing source. New electronic data messages are put into a pending list before they can be acted upon by the matcher. A timer is started based on a comparison of the reference value (or a calculation based thereon) to at least one attribute or value of a new electronic data message. When the timer expires, the electronic data message is moved from the pending list to another list—where it is eligible to be matched against other, contra-side electronic data messages.

Abstract: In some embodiments a distributed computing system is provided that includes a plurality of different feature modules and a matching engine. The different feature modules each provide different processing for handling parent requests and submitting, to the matching engine, commands for child data transaction requests that are associated with the parent request.

Abstract: A computer system includes a transceiver that receives over a data communications network different types of input data from multiple source nodes and a processing system that defines for each of multiple data categories, a set of groups of data objects for the data category based on the different types of input data. Predictive machine learning model(s) predict a selection score for each group of data objects in the set of groups of data objects for the data category for a predetermined time period. Control machine learning model(s) determine how many data objects are permitted for each group of data objects based on the selection score. Decision-making machine learning model(s) prioritize the permitted data objects based on one or more predetermined priority criteria. Subsequent activities of the computer system are monitored to calculate performance metrics for each group of data objects and for data objects actually selected during the predetermined time period.

Abstract: The technology detects undesirable data packets. Data packets are received from multiple sources at one or more packet switches in a data communications network. The one or more packet switches route the data packets to one or more intended destination computing nodes and also transmit a copy of all the data packets received in the data communications network to a network capture device. The network capture device processes the data packets, detects financial data packets, and transmits the detected financial data packets for analysis by a risk exposure computer system that performs automatic financial risk analysis based on the detected financial data packets.

Abstract: A computer system is provided and programmed to assemble a plurality of synthetic datasets and blend those synthetic datasets into a synthesized dataset. An evaluation is then performed to determine whether an existing model should be associated with the synthesized dataset or a new model should be trained from an existing model using the synthesized dataset.

Abstract: A computer system is provided that is designed to handle multi-label classification. The computer system includes multiple processing instances that are arranged in a hierarchal manner and execute differently trained classification models. The classification task of one processing instance and the executed model therein may rely on the results of classification performed by another processing instance. Each of the models may be associated with a different threshold value that is used to binarize the probability output from the classification model.

Abstract: The described technology relates to systems and techniques for accessing a database by dynamically choosing an index from a plurality of indexes that includes at least one learned index and at least one non-learned index. The availability of learned and non-learned indexes for accessing the same database provides for flexibility in accessing the database, and the dynamic selection between learned indexes and non-learned indexes provide for choosing the index based on the underlying data in the database and the characteristics of the query. Certain example embodiments provide a learned model that accepts a set of features associated with the query as input, and outputs a set of evaluated weights for respective features, which are then processed according to a set of rules to predict the most efficient index to be used.

Abstract: The described technology relates to developing and/or maintaining dashboards in enterprise web applications. In some aspects, a portal web application is configured to provide a user interface on a client device to create or modify a dashboard which includes a first plurality of widgets. A second plurality of widgets includes widgets published to the portal web application from a plurality of subscriber web applications, where each of the second plurality of widgets is used in at least one of said subscriber web applications, and the first plurality of widgets includes one or more widgets from the second plurality of widgets. In some other aspects, a dashboard management service is provided by which respective enterprise web applications can create and host widgets while sharing the same with other enterprise web applications which use dashboards developed using the dashboard management service.

Abstract: A computer system is provided for monitoring and detecting changes in a data generating processes, which may be under a multi-dimensional and unsupervised setting. A target dataset is split into paired subgroups by a separator and one or more detectors are applied to detect changes, anomalies, inconsistencies, and the like between the paired subgroups. Metrics may be generated by the detector(s), which are then passed to an evaluating system.

Abstract: A board portal system provides the ability to manage multiple boards, where each of the boards may be a separate legal entity. The board portal may provide the ability to establish links between the multiple boards and create parent-child relationships with subsidiary boards. With the board portal, users can create content and make it viewable and accessible across multiple boards that related through a parent-child relationship. At the same time, the board portal maintains a requisite level of separation between the related boards in the portal using encryption and/or other separation techniques. As a result, the board portal facilitates flexible workflow patterns and communication processes based on the proper hierarchical structure that exists between the parent organization and its subsidiaries.

Abstract: The technology relates to systems and methods for transcribing audio of a meeting. Upon transcribing the audio, the systems and methods can parse different portions of the prescribed audio so that they may attribute the different portions to a particular speaker. These transcribed portions that are attributed to a particular speaker are made available for viewing and interacting using a graphical user interface.

Abstract: The described technology relates to a real-time processing of network packets. An example system relates to reordering messages received at a server over a communication network from distributed clients, in order to, among other things, eliminate or at least substantially reduce the effects of jitter (delay variance) experienced in the network. The reordering of messages may enable the example data processing application to improve the consistency of processing packets in the time order of when the respective packets entered a geographically distributed network.

Abstract: The described technology provides a capability for web applications from different domains to interact within one application environment. For example, an enterprise web application executing on a client terminal is provided the capability to monitor a second web application from a third party vendor even when the second web application is independently executing within an iframe or the like within the enterprise web applications container or context. In some example embodiments, the communication is enabled by a composite cookie or key that incorporates portions of an enterprise web application cookie or key and also portions of a vendor web application cookie or key.

Abstract: Systems and methods that provide improved (e.g., higher accuracy and time-efficient) aggregation of report data are described. Example embodiments effectively combine machine learning and deep learning in a processing pipeline to classify unlabeled source data to determine a reliable classification, or a labeling, of that source data. The classified or labeled source data can be used to generate reports that provide extensive insight into the aggregated source data.

Abstract: A computer system is provided that includes a paired list of data transaction requests on which a matching process is performed. There are multiple different types of data transaction requests that are stored in the paired list including data transaction requests with midpoint attributes and data transaction requests with discretion attributes. The computer system may determine how the multiple different types of data transaction requests may be match against each other. Two matching processes can be used to determine if a match exists between the first and second sides of the paired list. Matches that are determined at private values are not disseminated to third-parties via public market data feeds.

Abstract: An electronic resource tracking and storage computer system is provided that communicates with a distributed blockchain computing system that includes multiple computing nodes. The system includes a storage system, a transceiver, and a processing system. The storage system includes an resource repository and transaction repository that stores submitted blockchain transactions. A new resource issuance request is received, and a new resource is added to the resource repository in response. A new blockchain transaction is generated and published to the blockchain. In correspondence with publishing to the blockchain, the transaction storage is updated with information that makes up the blockchain transaction and some information that was not included as part of the blockchain transaction. The transaction storage is updated when the blockchain is determined to have validated the previously submitted blockchain transaction.

Abstract: A computer system is provided that is programmed to select feature sets from a large number of features. Features for a set are selected based on metagradient information returned from a machine learning process that has been performed on an earlier selected feature set. The process can iterate until a selected feature set converges or otherwise meets or exceeds a given threshold.

Abstract: Systems and methods are provided for data security. A server system provides data security using one or more processor devices, one or more communication interfaces, and one or more memory devices including computer-executable instructions.

Abstract: Natural language processing techniques provide sentence level analysis on one or more topics that are associated with keywords. Indirect learning is used to expand the understanding of the keywords and associated topics. Semantic similarity is used on a sentence-level to assess whether a given sentence relates or mentions a particular topic. In some examples, additional keywords are suggested using filtering techniques in connection with graph embedding-based entity linking techniques.

Abstract: An information computer system is provided for securely releasing time-sensitive information to recipients via a blockchain. A submitter submits a document to the system and a blockchain transaction is generated and submitted to the blockchain based on the document (e.g., the document is included as part of the blockchain transaction). An editor may edit the document and an approver may approve the document for release to the recipients. Each modification and/or approval of the document is recorded as a separate transaction on the blockchain where each of the submitter, editor, approver, and recipients interact with the blockchain with corresponding unique digital identifiers—such as private keys.