Abstract: An embodiment of the present invention is directed to a combination of two deep-learning computer vision models—customized with post-processing—wrapped in a mobile application that is backed by an Application Programming Interface (API) supporting concurrent mobile users to accomplish asset serialization tasks in a warehouse or other storage environment.

Abstract: A data processing and analytics system for processing financial related data includes a financial data processing unit that is secured by a security layer. The financial data processing unit and the security layer are embedded in a company native environment. The company has a plurality of data sources for providing raw financial data that is filtered by the security layer prior to transfer to the financial data processing unit. The financial data processing unit includes a raw data storage unit for storing the raw financial data, and a data processing unit for processing the raw financial data via one or more preloaded audit applications. The processed financial data is then employed to generate one or more financial reports that are then transferred to the financial expert externally of the company.

Abstract: The invention relates to computer-implemented systems and methods for analyzing and standardizing various types of input data such as structured data, semi-structured data, unstructured data, and images and voice. Embodiments of the systems and the methods further provide for generating responses to specific questions relating to certain rates and terms, such as LIBOR, as well as complex legal constructs, such as interest rate fallback waterfalls, for risk assessment and mitigation. The present invention performs environmental, social, governance analytics on asset-backed securities including commercial mortgage-backed securities.

Abstract: The invention relates to computer-implemented systems and methods for assessing the quality of a document or a technical memorandum written with a loosely defined template, stereotype and/or outline of key sections or headers. An embodiment of the present invention leverages Natural Language Processing (NLP) and Machine Learning (ML) techniques to identify key sections in a document using NLP text patterns and further establish, using ML, how closely a given section matches similar sections in other documents that are considered by human Subject Matter Experts (SMEs) to be “well-written” for the intended purpose of the overall document. An embodiment of the present invention further ascertains whether the overall flow of the document follows a general outline in terms of the order of sections.

Abstract: The invention relates to systems and methods for providing modular and configurable smart contracts for blockchain applications. The smart contracts may be utilized to retain all transaction attribute values in a world state database of the blockchain-implemented ledger. The systems and methods can further provide for dynamically configurable validation metadata and validation rules for transaction attributes recorded on a blockchain transaction log. The validation metadata and validation rules corresponding to the transaction attributes can be dynamically updated and applied to the transaction attributes to validate or invalidate a transaction.

Abstract: A system for characterizing content relating to a desired outcome is disclosed. The disclosed system can be configured to identify context included in content collected from various content sources, map the identified context into graph nodes and graph edges connecting the graph nodes, identify one or more features of the identified context and adjust at least one of: a graph node and a graph edge based on the identified one or more features, identify a graph incorporating the graph nodes, the graph edges, and at least one of an adjusted graph node and an adjusted graph edge, and provide a recommendation for at least one action for achieving the desired outcome based on the identified graph.

Abstract: Systems and methods disclosed herein are directed to a scalable and advanced analytics computing platform for distributed ledger data for integrating an entity's legacy systems, distributed ledger systems, and crypto-asset transactions, as well as related metadata. The systems and methods further relate to a custody adapter implementation that enables interactions across multiple custody technology providers, sub-custody providers, and internal custody solutions.

Abstract: The invention relates to a computer implemented system and method for identification of comparables. The method may comprise: receiving input data from a plurality of data sources for a comparable, generating labeled training data for a function classifier by labeling historical search results for comparables, generating probabilistic training data for the primary product and service classifiers, training the primary product and service classifiers using the labeled training data and the probabilistic training data, determining the functions, products, services, and risks of the comparable using the corresponding classifiers, receiving attributes of a tested party, applying a scoring algorithm to calculate a similarity score for the comparable, generating a recommendation to accept the comparable, reject the comparable, or give additional scrutiny to determine acceptability, and automatically providing a written justification for the decision to accept or to reject the comparable.

Abstract: Systems and methods disclosed herein are directed to blockchain-based training data management systems and methods for trusted improvements of models. Embodiments provide for the generation of metadata and smart contracts associated with certain data, using a blockchain to store the generated metadata and smart contracts, and curating training data for the improvement of the models utilizing the generated metadata and smart contract stored in the blockchain.

Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies and sorting the past cases based on the comparison, wherein the universal ontology integrates authority information associated with the current and past cases.

Abstract: An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

Abstract: The invention relates to a computer-implemented system for security monitoring of Member accounts in a cloud environment. The Member accounts are provided as instances of cloud services in one or more monitored clouds by one or more cloud service providers. The system is programmed to automatically deploy software agents to the Member accounts. The software agents are configured to monitor activities in the Member accounts and to push security and operations data to a SIEM platform. The security and operations data may comprise alerts and activity logs for the Member accounts, public internet protocol (IP) addresses used by the Member accounts, and identifying information for individuals and information technology (IT) assets associated with the Member accounts. The system includes a user interface to define customized alerts based on the security and operations data, and the system generates and sends the customized alerts to a system administrator or security analyst.

Abstract: The invention relates to computer-implemented systems and methods for analyzing and standardizing various types of input data such as structured data, semi-structured data, unstructured data, and images and voice. Embodiments of the systems and the methods further provide for generating responses to specific questions based on the standardized input data.

Abstract: An intelligent forecasting system that includes sources of financial and non-financial input data and a user interface generator for generating user interfaces having window elements that display the input data. The window element includes a persistent navigation pane element having vertically stacked actuatable navigation soft buttons for accessing one or more portions of an intelligent forecasting. The navigation soft buttons include, among other buttons, an Outlier Treatment soft button for processing the input data by applying thereto a statistical processing model to detect outliers in the input data, a Model Selection soft button for selecting a statistical forecasting model to apply to the input data, a Signal Explorer soft button for selecting a signal transformation method for transforming the input data, a Model Prediction soft button for selecting one of the statistical forecasting models to apply to the input data, and a Simple Prediction soft button for automatically generating forecasts.

Abstract: The invention relates to a computer-implemented system and method for providing an Audit Document Investigation Tool that augments the audit process at various investigation stages. As a critical component of audit technology initiatives, the Audit Document Investigation Tool provides a consistent, efficient workflow to ingest, automatically prioritize and investigate documents, leverageable by any procedure workflow and linkable to platforms for full audit trail and subsequent review.

Abstract: Systems and methods disclosed herein provide for applying lifecycle processes to digital data objects utilizing blockchain and artificial intelligence. Embodiments of the systems and methods provide for interacting with a digital data object from a variety of different source systems as well as dynamically modifying particular attributes associated with the digital data objects based on real-time information and/or user-specified requirements.

Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies, wherein the universal ontology integrates information associated with the current and past cases with at least one reasoning system.

Abstract: The invention relates to a computer-implemented system and method for automatic collection, analysis and reporting of data relating to a cybersecurity threat. The method may comprise the steps of: presenting an interface through which an executable can be configured and automatically generated; transmitting the executable to a client to enable the client to execute the executable on client systems to automatically collect forensic data; receiving from the client an encrypted data package that includes the forensic data; using a forensic toolset to automatically analyze the forensic data; presenting an option to select one or more of at least two types of output reports designed for different types of readers; inputting the analysis files into an automatic report generator to automatically generate the types of output reports selected by the client; and sending the output reports selected by the client to the client.

Abstract: The invention relates to computer-implemented systems and methods for analyzing data from a variety of data sources. Embodiments of the systems and the methods further provide for generating responses to specific questions based on the analyzed data, wherein the generating includes: retrieving related documents associated with the analyzed data; determining which information should be reported from which of the retrieved related documents; and providing a response based on the determination and a graph schema associated with the related documents.

Abstract: A system and method of processing source data that includes table data by converting the table data into machine encoded text data having associated therewith text coordinate data having a Y-axis component and an X-axis component, and then generating from the machine encoded text data a plurality of pixels along the Y-axis component and the X-axis component. The system then performs a clustering technique on the plurality of pixels to generate a plurality of clusters of pixels based on similar attributes, and classifying each of the plurality of clusters of pixels as a selected row of the table and as a selected column of the table, thus making available the information encoded in the table for subsequent processing.