Patents by Inventor Alejandro CABELLO JIMENEZ

Alejandro CABELLO JIMENEZ has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Anti-money laundering platform for mining and analyzing data to identify money launderers
    Patent number: 10438297
    Abstract: A platform may obtain, for a first set of entities involved in a money laundering investigation, target entity information for a target entity and related entity information for a set of related entities. The platform may analyze the target entity information and the related entity information to identify money laundering candidates. The platform may determine one or more relationships indicating a degree of similarity between the target entity and the one or more related entities. The platform may generate a graph data structure that associates the target entity and the one or more related entities using the one or more relationships. The platform may determine a score for the target entity and one or more scores for the one or more related entities. The platform may provide a recommendation indicating whether the target entity and/or the one or more related entities are likely to be engaging in money laundering.
    Type: Grant
    Filed: June 19, 2017
    Date of Patent: October 8, 2019
    Assignee: Accenture Global Solutions Limited
    Inventors: Jingguang Han, Md Faisal Zaman, Dadong Wan, Alejandro Cabello Jimenez, Esteban Collado Cespon
  • ANTI-MONEY LAUNDERING PLATFORM FOR MINING AND ANALYZING DATA TO IDENTIFY MONEY LAUNDERERS
    Publication number: 20180365773
    Abstract: A platform may obtain, for a first set of entities involved in a money laundering investigation, target entity information for a target entity and related entity information for a set of related entities. The platform may analyze the target entity information and the related entity information to identify money laundering candidates. The platform may determine one or more relationships indicating a degree of similarity between the target entity and the one or more related entities. The platform may generate a graph data structure that associates the target entity and the one or more related entities using the one or more relationships. The platform may determine a score for the target entity and one or more scores for the one or more related entities. The platform may provide a recommendation indicating whether the target entity and/or the one or more related entities are likely to be engaging in money laundering.
    Type: Application
    Filed: June 19, 2017
    Publication date: December 20, 2018
    Inventors: Jingguang HAN, Md Faisal ZAMAN, Dadong WAN, Alejandro CABELLO JIMENEZ, Esteban COLLADO CESPON