Why is data clustering important? Data clustering is vital to make sense of a large set of patent data. It also helps in discovering new businesses and understanding the competition in those business areas. Whether you’re trying to find the...
High-quality clean and standardized data is a prerequisite for a reliable patent landscape analysis. If the data is inaccurate, then the result of the analysis of that data is also going to be inaccurate or unreliable. This inaccurate analysis could...
Patent Portfolio Analysis Prosecuting, sustaining, and litigating a single patent as a separate entity will not provide a company or individual with a greater revenue or competitive advantage than maintaining a collection of patents and deciding on different research and...
What Is Competitor Benchmarking? Competitor benchmarking is a technique for obtaining a metric – a benchmark. Benchmarks are simply the “what,” and benchmarking is the “how.” Benchmarking is a technique for maintaining an edge by recognizing where one stands. It...
XLSCOUT put the use of reinforcement learning to its AI-based Novelty Checker tool to get quality prior-art search reports in just 10 minutes.
Machine Learning is now being used in most search platforms, including many patent searching tools. One subset of ML (Machine Learning) that has recently gained traction is ‘Reinforcement Learning.’ The basic idea of reinforcement learning is quite simple, use feedback...