Ensuring Customer Data Integrity with Graphs in Oracle Database
KGC 2026
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29m
AI, graph analytics, and enterprise database features simplify building intelligent, connected applications. Hear from Industrial Scientific, a world leader in gas detection for worker safety programs, who was facing data integrity challenges because of data inconsistencies across multiple systems that contain customer information, leading to lost revenue and frustrated customers. With an innovative use of graph technology to connect data instances across systems they have improved governance, workflows, data discovery, and data lineage in their management of customer data. Their TCO with Autonomous AI Database is a fraction of the cost (< 5%) of traditional enterprise data intelligence platforms.
Presentors : Melli Annamalai, Oracle, and Phani Chilakapati, Industrial Scientific
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