Tauberbischofsheim, Germany

Ralf Vath


 

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2021

Loading Chart...
Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Journey of Ralf Vath

Introduction

Ralf Vath is a skilled inventor from Tauberbischofsheim, Germany. He has made significant contributions to the field of data visualization. With a focus on innovative technology, Ralf has developed a unique solution for visualizing time series data, demonstrating his ability to bridge the gap between complex data and user-friendly representations.

Latest Patents

Ralf holds a patent for "Visualizing a time series relation." This invention involves visualizing sensor data on a canvas, where each pixel represents a specific time duration. The process includes sending a request to the data source for visualization, receiving sets of tuples covering designated time intervals, performing a specific aggregation to generate sets of consecutive groups, and ultimately displaying these aggregates as a chart within a browser window. His innovative approach enhances the way time series data is interpreted and utilized.

Career Highlights

Ralf Vath is affiliated with SAP SE, a leading enterprise software company known for its robust solutions. Throughout his career, Ralf has excelled in developing technologies that improve data analytics and visualization, solidifying his reputation as a talented inventor in his field.

Collaborations

As part of his professional journey, Ralf collaborates with notable colleagues, including Sven Peterson and Linda Jahn. Their combined expertise fosters an environment of creativity and innovation, which is evident in the advancements they strive to achieve in data visualization and related technologies.

Conclusion

Ralf Vath's contributions to the field of data visualization through his patent emphasize his role as a forward-thinking inventor. By leveraging his skills and collaborating with talented coworkers, he continues to shape the future of data analysis, making it more accessible and impactful for users across various industries.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…