IBM Case Study: AI and Blockchain Help Discover and Transact IP

The ecosystem was overdue for a change that would bypass the need for humans to dig through thousands of pages of patents, and that’s where blockchain and AI came in. IPwe began exploring the idea of using these new technologies to create an automated marketplace that could connect all parties involved in a patent’s creation and use.

IPwe uses AI capabilities to make sense of the millions of patents circulating globally, each averaging a minimum of 20 pages. By blending natural language processing (NLP), predictive analytics and machine learning from IBM Watson, IPwe can rapidly analyze patent information. It can then use the information to generate summaries and reports to help users identify lucrative opportunities while steering clear of potential commercial risks.

Read the remainder of the article and download the case study at the link below.