Company Filing History:
Years Active: 2012-2022
Title: Innovations of David Carttar in Risk Management
Introduction
David Carttar is an accomplished inventor based in Lawrence, KS (US), known for his significant contributions to the field of risk management. With a total of four patents to his name, Carttar has developed innovative solutions that address complex challenges in resource allocation and risk modeling.
Latest Patents
One of Carttar's latest patents focuses on resource allocation and risk modeling for geographically distributed assets. This patent introduces a risk exposure model designed for network or movable assets that are not confined to a single, fixed address or location. The model utilizes an asset map that incorporates a plurality of geographic representation points to identify the physical locations of asset portions or potential locations for movable assets. Additionally, baseline geographic, geologic, political, and demographic data are represented using these geographic points. The meta-data associated with each point provides crucial details related to the asset or baseline feature at that specific geographic location. Risk exposure values are calculated based on the geographic representation points that pertain to the asset portions, which are subject to risks associated with their locations.
Career Highlights
Carttar's career is marked by his role at Risk Management Solutions, Inc., where he applies his expertise in risk modeling and resource allocation. His innovative approaches have made a significant impact on the industry, enhancing the understanding and management of risks associated with geographically distributed assets.
Collaborations
Throughout his career, Carttar has collaborated with talented professionals, including Mohan Sharma and Surya Gunturi. These collaborations have fostered a creative environment that encourages the development of groundbreaking solutions in risk management.
Conclusion
David Carttar's contributions to risk management through his innovative patents demonstrate his commitment to advancing the field. His work not only addresses current challenges but also paves the way for future developments in resource allocation and risk modeling.