Refinitiv US Organization LLC

Amit Shavit

Corey Ouellette

Omar Bari

Brian Romer

Hella-Franziska Hoffmann

Johannes Schleith

Brian Ulicny

David Reed

Amir Hajian Forushani

Isaac Kriegman

Song Qiaoqi

Yue Feng

Shiqi Li

Shraddha Sawardekar

Emily Lyons

Alex Constandache

Michael Moore

Juanjie Joyce Shen

Jennifer Singh

Laura Gaze Morse

Nick Jarema

The present disclosure relates to methods and systems for ingesting content from data feeds and to generate an enhanced output of relevant content for presentation to a user to facilitate analysis of the relevant content. Content is received from data feeds, and filtered to identify relevant content with respect to a particular context. The relevant content is then processed, e.g., using natural language processes, to extract entities involved, and to also identify particular activities detailed in the relevant content. Activity-mining is applied to the identified relevant data to classify and assigned activity tags to the extracted entity. Based on the extracted and identified information, an enhanced output is generated for presentation to facilitate research operations. The enhanced output may include overlaid graphical annotations, indicators, and graphical controls over the relevant articles to provide a means for updating a database based on the relevant content.

System and methods for generating an enhanced output of relevant content to facilitate content analysis

Described herein are systems and methods for an entity ranking system. In one embodiment, a computing system is configured to interface with one or more domains to identify a set of entities. The computing system can ascertain a first set of data components for each entity, normalize each of the first set of data components for each entity, and detect a failure to ascertain a second set of data components. The computing system can compute a statistical probability for a possible set of values for each data component of the second set based on the ascertained first set of data components. The computing system can rank each entity based on a derived quantile. The computing system can generate a graphical user interface including a visualization of the ranking of each entity, which can be rendered on a display of the at least one user computing devices.

Systems and methods for ranking entities

A system, method and non-transitory computer readable medium for detecting unsecured sensors in a network. A computing system can find an IP address associated with an unsecured sensor based on a port through which the unsecured sensor communicates with the network. The computing system can ascertain a prefix route associated with the IP address for the unsecured sensor based on a portion of the IP address. The computing system can determine geographic coordinate data associated with the prefix route. The computing system can identify location data of a set of facilities within a specified geographic radius of the geographic coordinate data. The computing system can associate the unsecured sensor with a first one of the facilities in the set of facilities based on a distance between geographic coordinate data and the location data associated with the first one of the facilities being less than a specified distance threshold.

Systems and methods for detecting and locating unsecured sensors in a network

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Boston, MA, United States of America

Amit Shavit