ADOBE had one patents in blockchain during Q2 2024. The patent filed by ADOBE Inc in Q2 2024 involves a method for populating a template database with templates identified by template IDs, generating a data model referencing a template in the database with a parameter field, applying a template parameter and digital signature, and deploying the data model within a distributed ledger. GlobalData’s report on ADOBE gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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ADOBE had no grants in blockchain as a theme in Q2 2024.
Recent Patents
Application: Document signing and storage using data models and distributed ledgers (Patent ID: US20240160791A1)
The patent filed by ADOBE Inc. describes a method for populating a template database with templates identified by template IDs, generating a data model that references a template in the database, including a template ID and parameter field, and deploying this data model within a distributed ledger. The data model also includes a template parameter and a digital signature for the template ID and parameter. The system described includes a memory component and processing device to perform operations such as updating the data model with a digital signature and deploying it within a distributed ledger.
The method and system outlined in the patent focus on securely managing templates within a distributed ledger environment. Templates are stored in an immutable format within the database, and the data model is generated in a JSON file format. Additionally, the data model may include an attachment ID referencing an encrypted document in a distributed storage network. The digital signature for the template ID and parameter ensures the integrity and authenticity of the data model. Overall, the patent highlights a comprehensive approach to template management and deployment within a distributed ledger system, emphasizing security and reliability in handling sensitive information.
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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.
