This inventor holds 1 USPTO granted patent and 2 published patent applications, plus 1 CIPO patent. Top assignee: Alteryx, Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: The Innovative Mind of Dylan Blanchard
Introduction
Dylan Blanchard is an accomplished inventor based in Chicago, IL. He has made significant contributions to the field of machine learning, particularly through his innovative patent. His work exemplifies the intersection of technology and user interaction, showcasing how machine learning can be made more accessible and effective.
Latest Patents
Dylan holds a patent for a hybrid machine learning model. This model is trained through a hybrid machine learning process, where an automatic machine learning process is performed on a dataset to generate a predictive model. The process utilizes a pipeline to train the model and make decisions at various steps. After training, a representation of the pipeline is generated and presented to the user via a user interface. This interface allows users to modify decisions made during the automatic machine learning process. Any modifications received from the user are then used to refine the trained model, which is subsequently deployed to make predictions based on new data. Dylan's patent represents a significant advancement in making machine learning more user-friendly and adaptable.
Career Highlights
Dylan is currently employed at Alteryx, Inc., where he continues to push the boundaries of machine learning technology. His work at Alteryx has allowed him to collaborate with other talented professionals in the field, enhancing the company's innovative capabilities.
Collaborations
Dylan has worked alongside notable colleagues such as Tyler Heinl and Roland Manfred Hochmuth. Their collaborative efforts contribute to the dynamic environment at Alteryx, fostering creativity and innovation.
Conclusion
Dylan Blanchard is a forward-thinking inventor whose contributions to hybrid machine learning are paving the way for more intuitive and effective technology. His work not only enhances predictive modeling but also empowers users to engage with machine learning processes actively.