There are, however, two factors that may improve the situation: Firstly, there are more and more data providers such as IFI CLAIMS, who offer access to a consolidated, worldwide patent database. In this area, IFI stands out for its uncomplicated access. The new machine translations of non-English documents allow for an almost worldwide analysis of patent documents in English. However, just as important as good data is the correct use of machine learning. In combination with keyword-based analysis, machine learning can contribute to a massive reduction of the analysis effort.
Due to further developments in the field of artificial intelligence, it is now possible for neural networks to understand the context of words in a patent text. Furthermore, such neural networks are able to learn different synonyms and writing styles, as well as to identify hidden patterns in the data. Since an individual neural network is created for each user profile, results are tailor-made for that user.
The latest developments from Dennemeyer Octimine show what this means for the end user. The company has been active in the field of AI and patent data for over 7 years (www.octimine.com). Due to its proximity to the scientific research of the Max Planck Institute, the University of Munich and the Technical University of Munich, Octimine is known for a high standard of development. It does not use off-the-shelf algorithms, but is explicitly trained on patent data.
Users can now use artificial intelligence in addition to classic, keyword-based monitoring to:
- Supplement existing analyses with the hits of the machine search and prioritize the analysis of hundreds of documents.
- Create new monitoring profiles within minutes. Existing technology portfolios can easily be used as training data for a new neural network. Just a few clicks and the profile is ready.
In early 2021, Dennemeyer Octimine will launch a completely new and extremely powerful patent monitoring software. This will enable newbies to set up an innovative and efficient monitoring system in just a few steps and will give experienced users the opportunity to add new methods to existing systems quickly and easily.
In summary, the increasing availability of high-quality data and the ever-advancing AI algorithms will make IP management much easier. High-quality analyses can be performed in less time and with less effort.