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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

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It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

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Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. The possibilities are endless!

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

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Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions.

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The Importance of the Semantic Knowledge Graph

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While there are many other varying definitions that exist, our definition of the knowledge graph places emphasis on defining the semantic relations between entities, which is central to providing humans and machines with context and means for automated reasoning.