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Video

Home : Knowledge Base : Knowledge Graphs & Data Modeling, & AI : Four Key Components of Enterprise Knowledge Graphs

Four Key Components of Enterprise Knowledge Graphs

Yanko Ivanov Yanko Ivanov . September 26, 2019

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. 

Interested in learning more about knowledge graphs and how they can transform your organization and help you achieve your business goals? Contact us. We are here to help.

Yanko Ivanov Yanko Ivanov Highly-skilled management consultant focusing on business analysis, system design, and integration. Yanko is passionate about developing practical knowledge and information management strategies that help organizations achieve their vision. More from Yanko Ivanov »

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