In the global innovation economy, demand for intellectual property (IP) titles – patents, trademarks, industrial designs, copyright – is rapidly increasing and becoming more complex. Artificial intelligence (AI), big data analytics and new technologies such as blockchain can be used to address the growing challenges facing IP offices (IPO).
In a world in which AI is playing an ever-expanding role, including in the processes of innovation and creativity, Professor Ryan Abbott considers some of the challenges that AI is posing for the IP system.
Dr. Ahmed Al Theneyan, Saudi Arabia’s Deputy Minister of Technology, Industry and Digital Capabilities, talks about his country’s ambitions to drive innovation and economic growth using advanced digital technologies.
WIPO Translate is a world-leading instant translation tool, specially designed for patent documents. It's available through the PATENTSCOPE database and can also be integrated within IPO systems upon request.
Image search within the Global Brand Database allows trademark owners to identify visually-similar trademarks, as well as other brand-information records from among the millions of images in the collection.
IPCCAT helps patent filers and examiners in IPOs to automatically categorize patent applications into technical units according to their International Patent Classification (IPC) class, subclass, main group or sub-group.
Specialized task forces
WIPO leads and enables cooperation amongst IPOs in pursuit of coherent ICT strategy, management of IP big data and the use of AI for IPO administration: