🌟 Session Overview 🌟

Session Name: Building Knowledge Graphs Speaker: Sumit Pal Session Description: Knowledge graphs are all around us, and we use them every day. Many emerging data management products, such as Data Catalogs/Fabric and MDM products, leverage knowledge graphs as their engines. Building a knowledge graph is not a one-off engineering project. It requires collaboration between functional domain experts, data engineers, data modelers, and key sponsors. It also encompasses technology, strategy, and organizational aspects; focusing solely on technology increases the risk of a knowledge graph's failure.

Knowledge graphs are effective tools for capturing and structuring large amounts of structured, unstructured, and semi-structured data. As such, they are becoming the backbone of various systems, including semantic search engines, recommendation systems, conversational bots, and data fabric.

This session guides data and analytics professionals to demonstrate the value of knowledge graphs and how to build semantic applications.

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