Abstract: A method and a computing apparatus for generating a personal financial plan are provided. The method includes: receiving a first input that includes information about an initial financial state of an individual person; receiving a second input that includes information about a goal financial state of the individual person; receiving a third input about financial habits of the individual person; defining a set of available user actions, each respective available user action being assigned a corresponding probability that indicates a likelihood that the individual person successfully performs the respective available user action; determining, based on the defined set of available user actions and heuristics designed to maximize a likelihood of execution, proposed sequences of potential user actions by which the goal financial state is achievable; and calculating, for each proposed sequence, a respective likelihood score that indicates a corresponding feasibility of a successful completion thereof.

Abstract: A method and a system for solving transactions reconciliation tasks by integrating clustering and optimization are provided. The method includes: receiving first information that relates to a plurality of transactions; extracting, from the first information, a set of transaction-specific features and a set of transaction-specific textual information; generating at least one meta-transaction by clustering a subset of the plurality of transactions based on the extracted set of transaction-specific features and the extracted set of transaction-specific textual information; and matching transactions from within the clustered subset based on the amounts of the transactions.

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 method for providing a data-driven tool for individualized financial planning is provided. The method includes: receiving first information that relates to a user, the first information including at least one financial goal of the user; applying, to the first information, a machine learning algorithm that is uses historical data that relates to financial outcomes; calculating, based on an output of the machine learning algorithm, a probability that the at least one financial goal of the user is achievable; and determining, based on an output the machine learning algorithm, a proposed sequence of actions to be taken by the user with respect to achieving the at least one financial goal. The method may further include applying an artificial intelligence (AI) algorithm that uses a Monte Carlo tree search (MCTS) technique with respect to potential user actions.

Abstract: A method for generating schedules for a group of persons within a common workspace is provided. The method includes: receiving a first user input that relates to employee preferences; receiving a second user input that relates to at least one manager preference; receiving a third user input that relates to business constraints; generating, based on the received first, second, and third user inputs, a respective schedule for each corresponding group member; and outputting each respective schedule to a user interface for display thereon. The method may also include generating a set of metrics that corresponds to the employee preferences.

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 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 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.

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: Systems and methods for extracting information from a resume of an applicant and matching the applicant with a suitable position within an organization are provided. The method includes: receiving a resume that relates to an applicant; extracting, from the received resume, information that relates to applicant attributes; and generating a score that indicates a suitability level of the applicant for an available job that is associated with a team of employees within the organization. The score is generated by applying an algorithm to the applicant attributes, the job requirements, and team goals. For a set of resumes and a corresponding set of scores, an optimal assignment of resumes to jobs that maximizes the joint score is determined.

Abstract: A method for detecting an anomaly in human behavior is provided. The method includes: receiving information that relates to a behavior of a person; determining at least one behavior trace based on the received information; classifying each behavior trace into a respective category from among a first category that corresponds to behaviors that indicate an intention to commit a crime, such as money laundering, and a second category that corresponds to behaviors that indicate standard non-criminal activity; and analyzing each behavior trace to determine a potential intended goal of the person. The behavior trace includes a sequence of behavioral states and actions performed by the person in response to each respective behavioral state.