Box has been granted a patent for scalable architectures that automate job generation based on user-specified metadata rules in a cloud-based environment. The method involves monitoring workspace events, generating automated workflows, and distributing jobs to be executed in a distributed computing cluster. GlobalData’s report on Box gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Box, AI for workflow management was a key innovation area identified from patents. Box's grant share as of January 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
Automated processing of metadata events in cloud-based environment
A recently granted patent (Publication Number: US11876845B2) outlines a method for processing metadata events in a collaborative cloud-based environment. The method involves monitoring a workspace with multiple work items, detecting events within the workspace, generating automated workflows with various jobs to be executed in a distributed computing cluster, and distributing these jobs into specific job queues for processing. The selection of job queues is based on the type of each job in the workflow, ensuring efficient processing by worker machines in the cluster.
Furthermore, the patent describes injecting callback information and tokens into jobs before distribution to enhance communication and tracking during processing. The system includes a processor and memory storing instructions for processing metadata events in the cloud-based environment, similar to the method outlined in the patent. This system allows for the monitoring, detection, workflow generation, and job distribution process to be efficiently carried out, ensuring seamless processing of events within the collaborative cloud-based environment. Additionally, a non-transitory, computer-readable medium is detailed in the patent, containing instructions for executing the metadata event processing method. This medium enables the processor to monitor workspaces, detect events, generate workflows, and distribute jobs for processing, along with injecting callback information and tokens for improved job management and tracking within the distributed computing cluster.
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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.
