Assurant‘s patent involves a method for efficiently allocating resources in a dynamic environment by utilizing predictive modeling and machine learning. The system receives requests, analyzes data from various sources, and generates resource allocation sets in real-time. The method optimizes resource distribution based on future needs and conditions. GlobalData’s report on Assurant gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
According to GlobalData’s company profile on Assurant, Cloud computing disaster recovery was a key innovation area identified from patents. Assurant's grant share as of April 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.
Dynamic resource allocation in a changing environment
A recently granted patent (Publication Number: US11954623B2) discloses a method for allocating constrained resources in a dynamic environment. The method involves receiving request data objects from client devices associated with different channel profiles, assigning profiles to tiers, and determining if they meet threshold conditions. The method also includes generating channel context data from non-uniform data sets acquired from external systems, identifying third-party identifiers, determining attribute types, and generating mapping scores. The data is then validated for machine learning, and a supervised learning process is used to train an allocation model. In real-time, resource requests are applied to a machine learning model, and predicted resource allocations are outputted and dynamically allocated to systems associated with the channel profiles.
Furthermore, the patent includes additional claims related to tiering parameters, geographic locations, audit status, exclusivity status, timing parameters, and outlier removal. It also involves generating control signals for user interfaces, sorting materials based on resource allocations, adjusting resource offers dynamically, providing access controls, and distributing available resources based on predicted allocations. The method also includes updating the training of the machine learning model, generating renderable objects for display, and transmitting signals for resource distribution based on predicted resource allocations. The patent also covers an apparatus and a computer program product for determining predicted future resource demand in a dynamic environment, utilizing similar methods as described in the claims.
To know more about GlobalData’s detailed insights on Assurant, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
