Industry Expert Paul Germeraad Shares Perspectives on Machine Learning and Technology/Product Function/Market Matrices

The use of machine learning and artificial intelligence in the field of intellectual property management is increasing. This is a reflection of the rapid advances being made in both these technical areas. The first work in the field started over three decades ago with the use of linguistic and semantic search engines. The great leap forward in the 1990’s was utilization of a sophisticated AI thematic engine that visually showed the technology, product function and market relationships among patents in a single map (ThemeScape on the Aureka platform by Aurigin). Unfortunately that engine disappeared from public access in the mid 2000’s. That said, today there are a multitude of machine learning and artificial intelligence engines that are being used to classify patents and selectively look for those that are similar and those that are distinct. The best summary of this recent work can be found at https://www.ml4patents.com/ a website and blog provided by Tony Trippe who has decades of experience in this field.  Once the AI technology is again available to view a “Technology Strategy Via Technology/Product Function/Market Matrix”, a huge leap forward in information professionals’ ability to provide business interpretations from patent portfolios will happen.

Learn more about the Technology/Product Function/Market Matrix and how this powerful tool is used in patent strategy for competitive technological advantage at https://businessinnovationmanagement.com/2020/01/07/technology-strategy-via-technology-product-function-market-matrix/.