AI-driven Patent Categories – Use of explainable AI for Innovation / Ideation Patent 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...
Abstract Analyzing 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...
Abstract As long as it provides actionable insights, patent data analytics is valuable. Such insights can only be obtained if the analysis is correct, and high-quality patent data is a must for accurate patent analytics. One of the primary reasons...
A patent invalidity search is a prior art search conducted on a granted patent in order to invalidate the patent’s claims (also known as the subject patent) on the basis of novelty, obviousness, and/or inventive step. It is also referred...
Taxonomy Bot: Are they for real? IP professionals often segment patents into different technology categories of interest to have a better understanding of the evolving technology trends and competitors’ activity. Generally, a comprehensive taxonomy is prepared by an expert and...
Key takeaways A novelty search checks whether any single prior art reference already discloses your invention. A patentability search also tests non-obviousness, so it can combine references. Run a novelty search early, while the idea is forming; run a patentability...