Abstract: A firm computer system is configured to add a new third party telemetry vendor. An incumbent third party telemetry vendor communicates with the firm computer system using HTTP requests that include HTTP headers, including a first telemetry-related HTTP header. The new third party telemetry vendor communicates with the firm computer system using HTTP requests that include the first telemetry-related HTTP header. The new third party telemetry vendor appends its telemetry data to the first telemetry-related HTTP, separating it in the first telemetry-related HTTP from telemetry data from the incumbent third party telemetry vendor according to a predefined syntax.

Abstract: A computer-implemented method for identifying a use anomaly potentially exposing sensitive data is disclosed. The method comprises receiving data comprising logs of a communication involving a computing device, where the logs comprise distinct logs of at least three communication abstraction levels. At least three anomaly classifiers are operated for logs from each of the at least three communication abstraction levels. An ensemble model is used to identify an anomaly in the communication, by processing output from each of the at least three anomaly classifiers. The various logs from a moment in time when the anomaly occurred are collated, and a graphical user interface is generated for reviewing the identified anomaly and collated logs. A human reviewer is then alerted that an anomaly has been identified.

Abstract: A computer-implemented method for improving intercommunication and software quality among a geographically distributed team is disclosed. The method comprises automatically determining a location of each member of the team; automatically obtaining one or more objective measures of contributions by each member of the team to a collaborative project; based at least in part on the automatically determined locations and automatically obtained objective measures, calculating for each member of the team a normalized collaboration score, and based on values of collaboration scores calculated for each member of the team, generating an electronic message for delivery to a computing device to cause the computing device to act in accordance with an instruction contained within the electronic message.

Abstract: A method for routing requests to a plurality of server clusters is disclosed. The method comprises establishing a first server cluster responding to requests concerning a first software via a first version of that software and to requests concerning a second software via a first version of that software, and a second server cluster responding to requests concerning the first software via a second version of that software and to requests concerning the second software via a second version of that software. A gateway router initially routes requests concerning the first and second software by default to the first server cluster. Upon receiving a request to change default routing of requests, a configuration of the gateway router is updated. Subsequent requests concerning the first software are routed to the second server cluster while subsequent request concerning the second software remain routed to the first server cluster.

Abstract: A system for converting a data file in a first format for data serialization into a second format for workflow specification is disclosed. The system comprises one or more processors and non-transitory memory storing instructions. When executed by the one or more processors, the instructions cause the one or more processors to receive a data file in the first format representing a workflow; automatically generate a functionally equivalent workflow specified according to the second format, via consultation with a correspondence table and replacing a set of elements from the first format with a corresponding set of elements from the second format; automatically fill in any default values required in the second format and not specified within the first format; and output the functionally equivalent workflow in the second format. In a preferred embodiment, the first format is JSON and the second format is BPMN 2.0.

Abstract: A system for executing software, wherein a computing device stores instructions for a code execution module such that, when the instructions are executed, the computing device will: receive, for execution by the code execution module, software; create one or more immutable software nodes described in the software; determine that the software comprise an instruction to begin a simulated change at runtime of the one or more immutable software nodes; store the simulated change in a simulated change apparatus; using the simulated change apparatus, perform one or more operations of the software as if the one or more immutable software nodes had been changed in memory, during a period of time where each of the one or more immutable software nodes is guaranteed to retain logical immutability; and output results of the one or more operations.

Abstract: Systems and methods for translation of a digital document to an equivalent interactive User Interface (UI), receive the digital document containing content; detect a selection and placement of a plurality of form fields, based at least in part on the content; construct a UI template and corresponding object graph, based at least in part on the selection and placement of each of the plurality of form fields; wherein the UI template represents the content of the digital document according to a predefined document schema; and wherein the object graph is defined by one or more dependencies and one or more validations associated with the selection and placement of each of the plurality of form fields; parse the UI template; and render the UI template as an interactive UI for distribution to an end user based at least in part on a predefined rendering library.

Abstract: Computer-implemented methods and systems are disclosed for receiving and indexing a plurality of files for later querying, for dynamically generating scripts to be executed during a query of a data store, and for horizontally distributing a query and aggregating results of the distributed query.

Abstract: Domain specific knowledge base (KB) contains all concepts from domain and the semantic relations between concepts. The concepts and the semantic relations are extracted from an existing corpus of content for the domain. The World Wide Web Consortium (W3C) standard SKOS (Simple Knowledge Organization System) can be used and two types of semantic relations can be captured: hierarchal and associative. A Natural Language Processing (NLP) software engine can parse the input text to create a semantic knowledge graph, which is then mapped to a SKOS knowledge model. During the linguistic understanding of the text, relevant domain concepts are identified and connected by semantic links. Concepts automatically identified as most important in this domain can be promoted to another layer, referred to as “Topics.

Abstract: Systems and methods for translation of a digital document to an equivalent interactive User Interface (UI), receive the digital document containing content; detect a selection and placement of a plurality of form fields, based at least in part on the content; construct a UI template and corresponding object graph, based at least in part on the selection and placement of each of the plurality of form fields; wherein the UI template represents the content of the digital document according to a predefined document schema; and wherein the object graph is defined by one or more dependencies and one or more validations associated with the selection and placement of each of the plurality of form fields; parse the UI template; and render the UI template as an interactive UI for distribution to an end user based at least in part on a predefined rendering library.

Abstract: A system for strategy-based exit planning comprises a processor and a memory. The processor is configured to receive an indication to create an exit plan; and create an exit plan for a strategy, wherein the strategy comprises one or more instruments. The memory is coupled to the processor and configured to provide the processor with instructions.

Abstract: Computer-implemented methods and systems are disclosed for receiving and indexing a plurality of files for later querying, for dynamically generating scripts to be executed during a query of a data store, and for horizontally distributing a query and aggregating results of the distributed query.

Abstract: A system and method may determine the carbon emissions risk to an institution through its lending and investment activities to a plurality of counterparties by, for example, determining carbon emissions data for a number of counterparties and, for each counterparty, determining the carbon emissions risk to the institution. A system and method may determine the proportion of total capital of a counterparty that is being financed by a bank, and multiply this by a carbon emissions measure for the counterparty. Embodiments may be applied to determine optimal investment strategies for managing an institution's exposures to carbon risk over time.

Abstract: A system for detecting and responding to an anomaly in a chaotic environment, comprising one or more autonomous agent devices and a central server comprising a processor and non-transitory memory.

Abstract: Systems and methods for predicting and preventing system incidents such as outages or failures based on advanced log analytics are described. A processing center comprising an incident prediction server and log database may receive application server logs generated by an application server and historical incident data generated by an incident database server. The processing center may be configured to cluster a subset of application server logs and based on the subset of application server logs and the incident data, determine in real time or near real time the likelihood of occurrence of an incident such as a system outage or failure.

Abstract: Computer-implemented systems and methods forecast network resource and/or infrastructure needs for an enterprise computer system that employs network servers to host resources that are requested by network users. Based on the forecasts, the network resources can be scaled or provisioned accordingly. The state of the networkservers can be dynamically adjusted to meet the request needs of the users while reducing excess capacity. The forecasting techniques are also applicable to cloud computing environments. Based on the forecasts, the cloud server pool can be scaled dynamically, so that the system's scale satisfies the changing requests and avoids wasting resources when the system is under low load.

Abstract: A system and method for using machine learning classifiers to auto-approve or auto-escalate unknown events is disclosed. The system has queues for receiving a stream of data concerning the unknown events; for storing data concerning escalated events believed to be adverse; and for storing data concerning approved events believed to be innocuous. When software instructions are executed, a device will retrieve data concerning an event from the first queue; vectorize and enrich the data; classify the vectorized, enriched data by a first machine learning model to decide whether to auto-escalate the data concerning the event to the second queue for review by a first human reviewer; and classify the vectorized, enriched data by a second machine learning model to decide whether to auto-approve the data concerning the event to the third queue.

Abstract: The disclosed embodiments relate to provisioning of a service, such as a financial service, to a device, such as a mobile device operative to access the service wirelessly or otherwise, in a manner which efficiently provides a consistent user experience which meets a user's expectations as to the functionality and quality of the service, including the user interface therefore and service delivery, which leverages the available capacities of the devices through which the service is provided so as to maximize the functionality and quality of the provided service without diminishing the experience, i.e. without substantially reducing the quality or functionality.

Abstract: Computer-implemented systems and methods, trained through machine learning, score a sentiment expressed in a document. Individual sentences are scored and then overall document sentiment score is computed based on scores of individual sentences. Sentence scores can be computed with machine learning models. Digital matrix generator can generate N×M matrix for each sentence, where the matrix comprises vectors of word embeddings for the individual words of the sentence. A classifier computes a sentence sentiment score for each sentence based on the digital matrix for the sentence. Sentence sentiment scores computed by classifier can be adjusted based on a fuzzy matching of a phrase(s) in the sentence to key phrases in a lexicon that are labeled with a sentiment relevant to the context.

Abstract: A portfolio management and securities delivery system and method includes a specialized Donor Investment Account Computer (DIAC), Portfolio Optimizer Computer (POC), Market Trading Computer (MTC), and Recipient Account Computer (RAC). The DIAC transmits portfolio data to the POC, which applies a set of rules to a Donor Investment Account portfolio to generate a Donor Selection for contribution of non-cash assets, and then tags and transmits the Donor Selection to the MTC. The MTC receives and decrypts the translated Donor Selection to effect transfer of the Donor Selection to the RAC. The RAC acknowledges receipt of the non-cash assets in-kind, captures the encrypted record of the transferred non-cash assets, and validates the decrypted record of the transferred non-cash assets for incorporating into a Recipient Account portfolio.