Juniper Networks had nine patents in digitalization during Q4 2023. Juniper Networks Inc filed a patent for a device that receives site data, calculates a similarity score matrix, groups data into clusters, identifies training and validation data, generates a meta model, trains the meta model, validates the meta model, creates site-specific models for each site, and utilizes these models to generate predictions for multiple sites. GlobalData’s report on Juniper Networks gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Juniper Networks grant share with digitalization as a theme is 55% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Hierarchical multi-model generation in network and cloud computing systems (Patent ID: US20230368066A1)
The patent filed by Juniper Networks Inc. describes a method and device for generating site-specific models based on raw data or key performance indicators associated with multiple sites. The device calculates a similarity score matrix, groups the data into clusters, and creates a meta model trained on specific data. This meta model is then used to create site-specific models for each site, which are utilized to make predictions for those sites. The method involves training and validating the meta model, as well as creating base models for new sites based on the meta model.
The device utilizes a neural network model as the meta model and can generate site-specific weights to tune the site-specific models. By training the meta model with specific data and updating it based on gradients, the site-specific models can learn with less data than traditional models. The device can also group data into hierarchical clusters based on the similarity score matrix and create generic base models for new sites. Overall, the patent outlines a comprehensive approach to generating predictive models for multiple sites based on raw data and key performance indicators, improving efficiency and accuracy in making predictions.
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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.
