Company Filing History:
Years Active: 2024-2025
Title: Innovator Trevor Scott Conn: Pioneering Data Confidence Solutions
Introduction: Trevor Scott Conn, based in Leander, Texas, is an accomplished inventor dedicated to advancing data confidence solutions through his innovative patents. With two patents to his name, Trevor has significantly contributed to the field of data management and security.
Latest Patents: Trevor's latest patents showcase groundbreaking methodologies in generating confidence scores for data handling. The first patent, titled "Data Confidence Fabric Policy-Based Scoring," describes a system for producing policy-based confidence scores by annotating data as it is created, mutated, or otherwise processed. This scoring mechanism aids in assessing the trustworthiness of data for application usage. The second patent, focused on "Timeseries DCF Capabilities to Predict Data Interactions Based on Past Trends," outlines a method for analyzing data interactions within a data confidence fabric. This innovative approach involves mapping data transit information to timelines, evaluating them for unexpected time gaps, generating recommendations for actions, and implementing these actions within the fabric.
Career Highlights: Trevor is employed at Dell Products Inc., a leading technology company where he applies his expertise in data solutions. His role at Dell underscores his commitment to developing innovative approaches in data handling and management.
Collaborations: Trevor has collaborated with notable colleagues, including Nicole Reineke and Stephen J Todd, enhancing the potential for innovation and development within his projects. These collaborations enable him to leverage diverse skills and insights, enriching the outcomes of his inventions.
Conclusion: Trevor Scott Conn exemplifies the spirit of innovation in the technology sector, particularly in the realm of data confidence. His contributions through his patents illustrate a commitment to improving data security and reliability, positioning him as a key figure in the ongoing evolution of data management technologies.