Company Filing History:
Years Active: 2010-2018
Title: Innovations by Suresh Katta
Introduction
Suresh Katta is an accomplished inventor based in Monte Sereno, California. He has made significant contributions to the fields of data analysis and governance through his innovative patents. With a total of two patents to his name, Katta's work focuses on enhancing the understanding and management of structured and unstructured data.
Latest Patents
Katta's latest patents include "Methods and apparatus for analysis of structured and unstructured data for governance, risk, and compliance." This invention provides organizations with tools to monitor, analyze, and respond to data related to their Governance, Risk, and Compliance (GRC) programs. The invention utilizes natural language processing to process aggregated data from various sources, generating mapped Risk Control Matrices (RCMs) and insights for improving GRC processes.
Another notable patent is the "Method and system for displaying predictions on a spatial map." This system analyzes heterogeneous data with a spatial component to extract relationships using machine learning. The predictions are then presented on a spatial map in an interactive format, allowing users to visualize data through heat maps overlaid on 3-D topographical maps.
Career Highlights
Suresh Katta is currently employed at Saama Technologies, Inc., where he continues to innovate and develop solutions that address complex data challenges. His expertise in data analysis and machine learning has positioned him as a valuable asset in the tech industry.
Collaborations
Katta collaborates with talented professionals such as Haranath Gnana and Vidya Sagar Anisingaraju, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Suresh Katta's contributions to data analysis and governance through his patents reflect his commitment to advancing technology. His work not only enhances organizational capabilities but also sets a foundation for future innovations in the field.