According to Alex Smith, product management lead for iManage AI, “With search, knowledge graphs, AI, and machine learning, we’re able to solve the problem of how to deliver content at the right point in time. By content, I mean ‘knowledge.’” This can go from anything, such as templates, best practices, and information that has been curated, to information about a project people are working on, said Smith. Organizations can improve the usability of knowledge graph search with natural language processing (NLP). The connections between terms, documents, projects, and people are readily discernible with search to “allow you to build a network of connected assets that you can tie together so when you find one of them, it’s like pulling a string, you find the others,” Martin said.