Company Filing History:
Years Active: 2020-2023
Title: Innovator Spotlight: Daniel I. Whyatt
Introduction
Daniel I. Whyatt, an accomplished inventor based in Huntsville, Alabama, has made significant contributions to the field of data analysis and machine learning. With two patents to his name, he has demonstrated a strong commitment to advancing the technology that interprets electronic documents effectively.
Latest Patents
Daniel's most recent patents focus on methods for analyzing and interpreting datasets composed of electronic documents, particularly using free-form text. One of his notable inventions, "Unifying terms of interest from a dataset of electronic documents," provides a sophisticated approach to identify variants of terms based on semantic similarity. This method employs an unsupervised machine learning algorithm to extract linguistic and contextual features. Additionally, he has patented a process titled "Text mining a dataset of electronic documents to discover terms of interest." This patent details an iterative process for discovering multiword terms and employing a training set for machine learning to enhance document analytics.
Career Highlights
Throughout his career, Daniel has focused on enhancing data analytics techniques and methodologies. Currently, he is associated with The Boeing Company, where his work continues to impact the efficiency and accuracy of data interpretation within the organization. His innovative approach and deep understanding of machine learning algorithms have been pivotal in his contributions to the field.
Collaborations
Daniel collaborates closely with esteemed colleagues, including Anne Kao and Nobal Bikram Niraula, further enriching his work and enabling valuable exchanges of ideas. These collaborations not only enhance his projects but also foster an innovative environment that encourages growth and exploration in data technology.
Conclusion
With his groundbreaking inventions and impactful collaborations, Daniel I. Whyatt stands out as a leading inventor in the realms of machine learning and data analysis. His dedication to pushing the boundaries of technology ensures that his contributions will be felt for years to come.