Company Filing History:
Years Active: 2004-2017
Title: Christopher Hobbs: Innovator in Resource Management and Data Prediction
Introduction
Christopher Hobbs is a notable inventor based in Ottawa, Canada. He has made significant contributions to the fields of resource management and data prediction, holding a total of 2 patents. His innovative approaches have the potential to enhance efficiency and performance in various applications.
Latest Patents
Hobbs' latest patents include a "Method and system for determining exposures presented by an orchestrated process." This invention provides a system and method to dynamically identify and simulate the availability of resources for an orchestrated service or application. It allows for strategic changes in scheduling, purchasing, and hiring to ensure that necessary resources are present during specific time periods. The system includes an orchestration module that stores resource parameters and correlates them with predetermined criteria for events, enabling effective resource management.
Another significant patent is "Predicting values of a series of data." This invention analyzes communications data, such as traffic levels in a network, using techniques adapted from chaos theory. It predicts future values of data series and determines attractor structures, allowing for monitoring and control of communications processes. The invention includes a compilation of prediction algorithms tailored for different data types, ensuring optimal predictions in real-time.
Career Highlights
Christopher Hobbs has worked with prominent companies such as Nortel Networks Corporation and Avaya Inc. His experience in these organizations has contributed to his expertise in resource management and data analysis.
Collaborations
Hobbs has collaborated with notable individuals in his field, including Malcolm Edward Carter and Otakar Fojt. These partnerships have likely enriched his work and expanded his innovative capabilities.
Conclusion
Christopher Hobbs is a distinguished inventor whose work in resource management and data prediction has the potential to transform various industries. His patents reflect a deep understanding of complex systems and a commitment to improving efficiency and performance.