Company Filing History:
Years Active: 2022-2025
Title: The Innovative Mind of Stephen Filios
Introduction
Stephen Filios is an accomplished inventor based in Canton, MI (US), known for his contributions to machine learning and artificial intelligence. With a total of seven patents to his name, Filios has made significant strides in developing systems that enhance customer interaction and prediction capabilities.
Latest Patents
Among his latest innovations is a machine-learning system for incoming call driver prediction. This method involves selecting a customer and constructing a digital footprint, which is then input into an artificial intelligence engine. The AI engine provides probability values that help predict the call driver, which is subsequently communicated to the associated call center. Another notable patent is a machine learning system for customer utterance intent prediction. This method includes obtaining a subset of utterances, encoding them into multi-dimensional vectors, and performing clustering to arrange the utterances into meaningful clusters. The process culminates in training a neural network model to accurately predict the intent behind customer utterances.
Career Highlights
Filios has worked with prominent companies such as Charles Schwab & Company, Inc. and TD Ameritrade IP Company, Inc. His experience in these organizations has allowed him to apply his innovative ideas in real-world scenarios, contributing to advancements in customer service technologies.
Collaborations
Throughout his career, Stephen Filios has collaborated with talented individuals, including Logan Sommers Ahlstrom and Ravindra Reddy Tappeta Venkata. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Stephen Filios exemplifies the spirit of innovation through his work in machine learning and artificial intelligence. His patents reflect a commitment to improving customer interactions and enhancing predictive capabilities in various industries.