Abstract: Gartner recently identified Knowledge Graphs as a key new technology in both their Hype Cycle for Artificial Intelligence and Hype Cycle for Emerging Technologies. Gartner’s Hype Cycle for Artificial Intelligence, states, “The rising role of content and context for delivering insights with AI technologies, as well as recent knowledge graph offerings for AI applications have pulled knowledge graphs to the surface.”

The ability to rapidly integrate new shared knowledge is the crux of a Knowledge Graph and depends entirely on graph based technologies. During this presentation we will provide proof points that Knowledge Graphs represent the future of knowledge sharing in the Enterprise.

Based on a medical use case, an intelligence use case, and a use case for sales organizations. We will show how organizations, people and machines can benefit from Knowledge Graphs by sharing network of facts about things and can use it for data integration, knowledge discovery, and in-depth analyses.

From a technical point of view we will show how ETL, schema changes, data integration, data enrichment, querying and feature extraction and learning become much easier with a graph based Knowledge Graph.

//dama-rockymountainchapter.org/rmc/projects/september-25-2019-using-enterprise-knowledge-graphs/