Abstract: A method and a system for automated masking of targeted categories of information in resume documents in order to reduce potential implicit biases are provided. The method includes: receiving a resume document; retrieving categories that correspond to types of information to be masked from a memory; extracting, from the resume document, information that belongs to the categories; masking the extracted information; and outputting a modified version of the resume document that includes the masking.

Abstract: Methods and systems for optimizing a design of an organization by using artificial intelligence (AI)-based automation to orchestrate a structure of jobs, roles, and task assignments so as to improve business outcomes are provided. The method includes: receiving a first task description that includes information that relates to each of a set of sub-tasks; analyzing the first task description by applying an artificial intelligence (AI) algorithm that uses a machine learning technique to analyze each respective sub-task; and determining, based on a result of the analysis, a task management plan that includes information that relates to a respective personnel assignment and a respective schedule for each respective sub-task.

Abstract: A method and a system for providing actionable smart monitoring of error messages generated during repave microservice operations in order to reduce the number of human interventions required are provided. The method includes: receiving reports that relate to system failures; analyzing each report to determine features that relate to the system failures; clustering the features into a set of feature groups; determining a corresponding report as a representative error indicator for each respective feature group; and generating, for each respective feature group, a cluster representative message that identifies the corresponding report. The cluster representative messages are then displayable on a user interface to facilitate efficient user action to address system failures and errors.

Abstract: A method and a system for extracting and formatting financial time-series data is provided. The method includes: receiving a first set of tabular data; segmenting the first set of tabular data into a plurality of cells; determining whether each respective cell is a header cell or a content cell; for each header cell, normalizing each of a time period and a metric associated therewith; for each content cell, determining one or more column header cells and one or more row header cells associated. therewith; and generating an output table based on a result thereof.

Abstract: A method for generating custom industry classifications may include a classification computer program receiving standard industry classifications, standard industry descriptions, custom industry classifications, custom industry descriptions, and a mapping of the custom industry classifications to the standard industry classifications; generating a dataset comprising standard industry descriptions as inputs and custom industry classifications as outputs; converting the standard industry descriptions and unmapped portions of the custom industry descriptions to vector representations; performing similarity matching on the vector representations of the standard industry descriptions and the vector representations of the unmapped portions; assigning each of the unmapped portions of the custom industry descriptions to one of the standard industry descriptions based on the similarity matching; training a supervised classifier using the dataset and a plurality of startup company descriptions for a plurality of startu

Abstract: A solution to identify the layout elements in a document is provided. The documents are formulated in an integrated visual space, where they are treated uniformly as a rasterized image. The transformation to image space facilitates exploitation of a spectrum of stylistic cues, such as spacing between the lines and paragraphs. Effective recognition of layout elements is provided by applying a synthetic generator model that creates artificial documents with the required labels and bounding boxes. The generator model is based on a Bayesian Network, offers full flexibility in controlling the document types and labels, and can introduce artificial defects to synthesize low-quality documents. An artificial intelligence model for detecting layouts is trained based on these synthetic documents and the resultant model is used to identify the layout elements in real-world documents. The resulting layout elements, when augmented with the text content, greatly aids in effective information retrieval.

Abstract: A method and a system for automating a due diligence process are provided. The method includes: receiving identification information that relates to a customer; selecting, from a global set of due diligence questions based on the received identification information, a group of due diligence questions to be applied to the customer; determining a document source via which documents containing relevant information about the customer are accessible; retrieving, from the document source, a set of documents that relate to the potential customer; extracting, from the retrieved documents, information that is relevant to the selected group of due diligence questions with respect to the customer; and outputting the extracted information. Each of the determination of the document source, the retrieval of the set of documents, and the extraction of the relevant information is performed automatically by executing artificial intelligence algorithms that implement machine learning techniques.

Abstract: A method for using an artificial intelligence-based framework to automatically discover and extract information about private and public companies that is accessible from public data sources is provided. The method includes: receiving first information that relates to an identification of a company; determining, based on the first information, publicly accessible data sources via which second information that relates to the company is available; receiving user input that relates to a type of company-specific data to be accessed from the data sources; retrieving, based on the received user input, a subset of the second information; and outputting the subset of the second information. The second information may include leadership profiles, information about products and services, a company description, and/or information about corporate policies.

Abstract: A method and a system for automatically processing financial documents to generate knowledge graphs that convey information relating to entities of interest and relationships between those entities are provided. The method includes: receiving a document; extracting raw text included in the document; identifying, based on the extracted raw text, a set of entities that are named in the document; determining respective relationship information that corresponds to respective pairs of entities; constructing a knowledge graph that illustrates respective relationships among the respective pairs of entities; and outputting the knowledge graph. The determination of the respective relationship information may be performed by applying an artificial intelligence (AI) algorithm that is trained by using historical data that relates to the set of entities.

Abstract: A method for using a graph neural network framework to improve learning and predicting in a multiplex network environment is provided. The method includes: identifying a plurality of layers of a multiplex network; estimating, for each layer, a corresponding probability of selecting the layer as being a relevant layer for training with respect to an application; estimating, for each layer, a corresponding loss associated with selecting the layer as being relevant; calculating, for each layer based on the corresponding probability and the corresponding loss, a corresponding regret associated with selecting the layer as being relevant; determining, for each layer based on the calculated corresponding regret, whether to select the layer as being relevant; and training the multiplex network with respect to the application by aggregating information obtained from layers that have been determined as being relevant layers.

Abstract: A method for optimizing personnel utilization is provided. The method includes: accessing first task management planning information that relates to a first project that has not been completed; using the accessed first task management planning information to identify a plurality of tasks to be performed in connection with the first project and to identify a plurality of persons to be assigned to respective tasks; retrieving historical task management information that relates to at least one project that has been completed; and adjusting at least a first portion of the first task management planning information based on the retrieved historical task management information.

Abstract: A solution to identify the layout elements in a document is provided. The documents are formulated in an integrated visual space, where they are treated uniformly as a rasterized image. The transformation to image space facilitates exploitation of a spectrum of stylistic cues, such as spacing between the lines and paragraphs. Effective recognition of layout elements is provided by applying a synthetic generator model that creates artificial documents with the required labels and bounding boxes. The generator model is based on a Bayesian Network, offers full flexibility in controlling the document types and labels, and can introduce artificial defects to synthesize low-quality documents. An artificial intelligence model for detecting layouts is trained based on these synthetic documents and the resultant model is used to identify the layout elements in real-world documents. The resulting layout elements, when augmented with the text content, greatly aids in effective information retrieval.

Abstract: A method for generating a recommendation for a potential investment is provided. The method includes: receiving first information that relates to each respective company from among a plurality of companies; generating, for each respective company based on the first information, a first vector representation; receiving second information that relates to each respective investor from among a plurality of investors; generating, for each respective investor based on the second information, a second vector representation; using the first vector representations and the second vector representations as inputs to an artificial intelligence-based algorithm in order to calculate a respective similarity metric for each respective company-investor pair; generating the recommendation for the potential investment based on the calculated similarity metrics; and generating an explanation for the recommendation.

Abstract: A method and system for detecting, segmenting, and extracting salient regions in documents by using attention tracking sensors is provided. The method includes: receiving an image that corresponds to a document; receiving, from a sensor, a sequence of measurements that correspond to a human reading of the document; determining, based on the sequence of measurements, at least one region of the document as being a salient document region; demarcating the salient document region in an electronically displayable manner; and outputting a file that includes a displayable version of the document with the demarcated document region. The salient document region may include a title, a section header, and/or a table. The sensor may be an eye-tracking sensor that detects a sequence of eye-gaze positions on the document as a function of time.

Abstract: A method and a system for managing a task are provided. The method includes: receiving, from a user, a description of a first task that relates to a first project that has not been completed; generating, by using a machine learning algorithm, a plan for executing the first task based on the received description of the first task and historical task management information that relates to at least one task that has been completed; initiating an execution of the first task based on the generated plan; and tracking the execution of the first task in order to determine whether the execution is progressing in accordance with the generated plan. The historical task management information includes task-specific skill requirements and task duration.

Abstract: A method and system for monitoring social media to identify signals for trading equities in the stock market are provided. The method includes: monitoring social media platforms for posts that relate to stocks that are tradeable on a market; determining a list of stocks that correspond to a large volume of the social media posts, and determining whether the sentiment of the posts is positive, negative, or neutral; obtaining recent price history data for the listed stocks; analyzing the price history data with respect to the volumes and sentiments of the social media posts; and predicting expected trends in the stock prices of the listed stocks.

Abstract: A method and a system for extracting information from a subpoena document are provided. The method includes: receiving a subpoena document; extracting raw text included in the subpoena document; identifying, based on the extracted raw text, entities that are named in the subpoena document; determining, based on the extracted raw text, first information that relates to a scope period, a law enforcement agency, and/or an investigative agent associated with the subpoena document; retrieving second information that relates to the identified entities from a customer database; and outputting a subset of the determined first information and a subset of the obtained second information. The method may also include using a weighted fuzzy name match algorithm to match the identified entities with the second information.

Abstract: A method and a system for extracting and formatting financial time-series data is provided. The method includes: receiving a first set of tabular data; segmenting the first set of tabular data into a plurality of cells; determining whether each respective cell is a header cell or a content cell; for each header cell, normalizing each of a time period and a metric associated therewith; for each content cell, determining one or more column header cells and one or more row header cells associated. therewith; and generating an output table based on a result thereof.

Abstract: A method for detecting abnormal transactional behavior in a financial account is provided. The method includes: accessing first information that includes a textual description of a first transaction of a plurality of transactions associated with a first account; analyzing the text by applying tags thereto; assigning, based on a result of the analyzing, the first transaction to a respective cluster of the plurality of transactions; and designating each respective cluster as corresponding to one from among a normal transactional behavior group, an abnormal transactional behavior group, and an anomalous transactional behavior group. When a proportion of abnormal and anomalous transactions exceeds a threshold, the account may be flagged for further investigation.

Abstract: Systems and methods for extracting information from a resume of an applicant are provided. The method includes: receiving a resume that relates to an applicant; extracting information that relates to applicant attributes from the resume; comparing the extracted information with a predetermined list of job-specific skills and with a predetermined list of characteristics that relate to soft skills; using the extracted information to determine applicant achievements; and determining at least one skill that corresponds to the applicant. The method may be implemented by using a deep learning technique and/or a natural language processing technique.