Dripping Springs, TX, United States of America

Brian E Calvert


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Brian E. Calvert: Pioneering Network and Predictive Analytics

Introduction: Brian E. Calvert, an inventive mind hailing from Dripping Springs, Texas, holds a significant contribution to the field of analytics with his innovative patent. His work exemplifies the merging of network analysis and predictive analytics, showcasing how data can be transformed into meaningful insights for various applications.

Latest Patents: Brian E. Calvert is credited with one notable patent which focuses on the combination of network analysis and predictive analytics. The patent describes a method where records are obtained from various sources, and typed datasets are assembled based on these records. Relationships among the datasets are identified, resulting in the assembly of a network comprising nodes and edges based on those relationships. A network analyzer constructs a vector from the assembled data, which is then processed by analytics to generate outputs for users or devices in a structured format.

Career Highlights: Brian currently works at Fair Isaac Corporation, a prestigious organization known for its pioneering contributions in data analytics and decision management technology. His work at Fair Isaac combines technical skill with innovative thinking, positioning him as a valuable asset within the company and the industry at large.

Collaborations: Throughout his career, Brian has worked alongside talented individuals such as John R. Ripley and Michael Betron. These collaborations have fostered an environment of shared ideas and collective innovation, driving advancements in analytical technologies.

Conclusion: Brian E. Calvert stands out as a remarkable inventor whose work in predictive analytics and network analysis sets a precedent for future innovations. His contributions reflect a deep understanding of data and its potential, ensuring that his influence will persist in the realms of technology and analytics.

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