Enterprise knowledge graphs are an incredibly valuable tool for relating your structured and unstructured information, allowing you to easily obtain actionable insights from large amounts of information across your enterprise. An enterprise knowledge graph is also an important foundation for achieving semantic artificial intelligence applications (AI) that can help you garner new facts about your content, data, and organizational knowledge. Semantic AI applications, from chatbots, to cognitive search utilizing Natural Language Processing (NLP), to recommendation engines, can all leverage your enterprise knowledge graphs to extract, relate, and deliver answers, recommendations, and insights. In this video, Yanko Ivanov gives a high level overview of the four key components necessary for building a knowledge graph.
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