Patent Portfolio Analysis of the Synergy between Machine Learning and Photonics

Machine learning in photonics has potential in many industries. However, research on patent portfolios is still lacking. The purpose of this study was to assess the status of machine learning in photonics technology and patent portfolios and investigate major assignees to generate a better understanding of the developmental trends of machine learning in photonics. This can provide governments and industry with a resource for planning strategic development. I used data-mining methods (correspondence analysis and K-means clustering) to explore competing technological and strategic-group relationships within the field of machine learning in photonics. The data were granted patents in the USPTO database from 2019 to 2020. The results reveal that patents were primarily in image data processing, electronic digital data processing, wireless communication networks, and healthcare informatics and diagnosis. I assessed the relative technological advantages of various assignees and propose policy recommendations for technology development.

Technological Leadership and 5G Patent Portfolios: Guiding Strategic Policy and Licensing Decisions

Whether it’s mobile phones or autonomous cars or telemedicine, a well-functioning robust 5G ecosystem will require licensing executives to have a deep understanding of the need for timely licensing to support technology development and adoption. It is important that the parties to patent licensing agreements understand that value doesn’t depend on the numerosity of patent portfolios, but on use value. The ecosystem is impaired when parties to licensing transactions are recalcitrant and advance bogus indicia of value. The 5G stakes are sufficiently high that top management oversight is likely required.

Deriving Competitive Foresight Using an Ontology-Based Patent Roadmap and Valuation Analysis

An ontology-based patent roadmap and valuation analysis approach provides competitive foresights for a corporation's associated patent portfolios and the underlying business processes. To demonstrate the methodology and computer supported analysis system, the patent portfolios of two global smart e-retailers are compared. The patents in each company's portfolio are text mined and categorized based on the smart retailing ontology schema. Both cases' text mining results are plotted as patent portfolio roadmaps, linking patents to innovation categories, commercial applications, and business process models. The three-dimensional (3-D) patent valuation analysis method provides foresights of the companies' competitive advantages related to “patent scope” (PS), “patent importance” (PI), and “patent innovation” (PIN). The research implements a computer supported system to provide evidence how companies utilize patent portfolios as key strategies for protecting business related intellectual properties (IPs) while implementing sustainable and competitive business processes.