【2020 Application Example】 AI data analysis platform for enterprise patent monitoring, complete patent analysis and development trends with one click!
編輯群2020-06-20
How to efficiently analyze the massive growth of patent information and tap potential value?
Patents are a valuable source of technology, market and competitive information. However, the total number of published patent documents has reached 120 million, with 6.3 million new ones added last year alone. How can we make these massive patent documents available for our own use?
Patent analysis provides an indispensable and practical way to fully tap the value of patent information. Through patent analysis, you can understand the strengths, weaknesses, and opportunities of your own and your competitors' respective patent portfolios, as well as global patent application trends, technology panorama, and possible blank areas.
However, patent analysis requires a thorough understanding of the underlying data, including: the usage and purpose of the data, as well as the problems that can be solved, etc. How to effectively use and analyze massive information is the most troublesome problem...
Unstructured data types can only be read and organized manually, which is very annoying!
"Patent specification" is a legally binding document that combines legal and scientific terms. It is unstructured data. In the past, various search and analysis methods were manually read and organized, which was time-consuming and time-consuming. It often happens that we are unable to keep up with the litigation schedule. When assisting enterprises in patent layout, they often face the difficulty of quantifying the degree of litigation risks faced by competitors and customers, as well as the quality and value of patents. This results in the inability of a domestic enterprise intellectual property management company to further expand its business scope and to promote the outside world. Knowledge of patented value-added applications.
In recent years, enterprise intellectual property management companies have also begun to assist R&D personnel in enterprises to master important technologies and patent competition intelligence that will affect the future development of the industry in advance, allowing relevant personnel to more calmly carry out patent layout and improve patent quality. and value. However, most of the business scope is in the agency of patent software, such as: Intellectual Property Operation Management Information System (IPServ), which mainly assists companies or individuals in managing intellectual property rights, but currently does not provide "patent monitoring" data analysis for companies or individuals. services.
▲Intellectual Property Operation Management Information System (IPServ)
These patent software include patent retrieval, management and maintenance, etc. Whether patent big data can successfully assist companies in understanding market conditions, patent value, litigation threats and monitoring competitors' illegal infringements all depends on the acquisition of patent data. . However, cleaning patent data is very time-consuming, so it has always been a headache. It was not until Taiwan Data Science Co., Ltd. developed the "AI Data Analysis Platform for Enterprise Patent Monitoring" that the light finally appeared...
Traditional patent analysis is time-consuming and time-consuming. Instead, use the "AI Data Analysis Platform for Enterprise Patent Monitoring" to get it done with one click!
The idea of "AI Data Analysis Platform for Enterprise Patent Monitoring" is to use discriminating influencing factors such as "patent code" and "company industry type" in patent application cases, through big data analysis, and Add relevant news information, and then use machine learning to assist experts through AI to analyze the current market situation, avoid the threat of lawsuits, and monitor competitors' illegal infringements.
These finally extracted factors will also affect the performance of individual stocks. For this, according to different corporate attributes and development directions, "customized big data analysis" can be used to enhance the strategic position of the company. It is hoped that the search through the platform can quickly allow companies to understand the patent layout of competitors when adding new product lines to avoid infringement; or when manufacturers are looking for partners, they can also filter from companies with advanced R&D and This platform serves as a great tool for co-opetition relationships.
The AI HUB website uses cookies and similar technologies to provide the best website experience, including personalized services, advertising and traffic analysis. These cookies include targeted media cookies and advanced analytics cookies. By clicking "Accept", you agree to our use of cookies. You can change your cookie preferences by clicking the "Change Cookie Settings" button. For detailed information on the cookies we use, please see our Cookie Policy. [Cookie Policy]