Madison, WI, United States of America

Robert Konrad Claus

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Robert Konrad Claus

Introduction

Robert Konrad Claus is an accomplished inventor based in Madison, WI (US). He has made significant contributions to the field of data analytics, holding a total of 2 patents. His work focuses on enhancing the capabilities of data analytics systems through innovative user interfaces and parameterized narrations.

Latest Patents

Robert's latest patents include "Parameterized Narrations for Data Analytics Systems" and "User Interface for Data Analytics Systems." The first patent describes a device that utilizes a memory and processor to perform data analytics. This device is capable of storing multi-dimensional data and receiving a sequence of inputs that define a recipe for analyzing this data. The processor can parameterize a field of the summarized narration, allowing users to manipulate the underlying recipe and obtain a parameterized summary. The second patent outlines a device that presents an interactive user interface, enabling users to enter current inputs, view previous inputs, and see graphical representations of result data. This innovative approach enhances user interaction and data analysis efficiency.

Career Highlights

Robert is currently employed at Datachat.ai, where he continues to develop cutting-edge solutions in data analytics. His work is characterized by a commitment to improving user experience and data processing capabilities.

Collaborations

Robert collaborates with talented individuals such as Rogers Jeffrey Leo John and Jignesh Patel, contributing to a dynamic and innovative work environment.

Conclusion

Robert Konrad Claus exemplifies the spirit of innovation in the field of data analytics. His patents and contributions significantly enhance the functionality and usability of data analytics systems.

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