Natural Language Processing Driven Categorizationย
AI-driven Patent Categories – Use of explainable AI for Innovation / IdeationPatent and publication data is crucial for R&D teams. It gives tremendous insights on the market front, competitor trends and innovation, technology trends, and others. However, patent data in...
What is Explainable AI?
Explainable Artificial Intelligence/ Explainable AI is key for any successful implementation at scale. Here are some of the aspects: Explanation of Explainable AISystems provide the evidence or reason(s) for all outputs. MeaningfulSystems provide explanations that are understandable to individual users. Explanation AccuracyThe...
Top Databases for Conducting a Patent Search
Patent search and analysis have proven their utility in taking strategic business decisions, making new acquisitions, exploring new geographies, and others. With patent data increasing at an unprecedented rate, precision patent searching, and analysis have become a necessity.Thanks to the...
Various R&D Approaches
The R&D business function is one of the most significant and pivotal departments in an organization, as it allows organizations to keep up with ever-changing technological innovations. Imagine a company without an R&D function. There is a need to document...
Role of Patent Analysis in Corporate R&D
The R&D business function is one of the most significant and pivotal departments in an organization, as it allows organizations to keep up with ever-changing technological innovations. Imagine a company without an R&D function. Corporate R&D operates in unexplored technology...
Noise Filtering
AbstractAnalyzing patents related to a technology domain is not as easy as it seems. Generally, the standard method for analyzing a technology domain is to formulate multiple search queries to extract patent data sets and then filter the patents manually....
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