Autonomous Database Learning Lounge series presents:  Add Context to Your Data using Graph Technologies for Improved Business Insights

Main Topic

• Melliyal Annamalai, Distinguished Product Manager and Jason Duncan-Wilson, Senior Director, Product Incubator will show how the meaning of data depends on its context.   Knowledge graphs, built on the RDF standards from the W3C, provide the formal semantics to represent context and link it with data. 
• Such knowledge graphs, known as ontologies, help applications query data along with the associated context, so that business decisions can be made using the meaning of data based on the context.
• In Autonomous Database you can store, manage, and query ontologies based on the W3C standard. 
• Oracle Energy and Water uses knowledge graphs in Autonomous Database to better connect data between utility companies.  Using the rich API for knowledge graphs in Autonomous Database they harmonize and link data across third party systems for an integrated and comprehensive view of all data. 
• Join this session to learn how you can leverage knowledge graphs in your application.

Open Q&A

• Autonomous Database product managers will answer any technical questions about the Autonomous Database service, its features, integration capabilities and use cases.

• Familiarity with Autonomous Database is desirable, but not required
• Some understanding of cloud and database terms is helpful
• Familiarity with Oracle Cloud Infrastructure (OCI) is helpful

Educate yourself about Oracle Autonomous Database, its use cases and immersive self-service platform.