Knowledge Graph Pilot Improves Data Quality While Providing a Customer 360 View скачать в хорошем качестве

Knowledge Graph Pilot Improves Data Quality While Providing a Customer 360 View

Presented by Pat Branum & Bethany Sehon of Capital One. http://sps.columbia.edu/executive-edu... Capital One is defining and creating data relationships across divisions and systems, helping the enterprise to better understand data while enhancing analytical capabilities through standardization, improved context, and increased efficiency. The Enterprise Data Management team recently executed a Customer 360 Knowledge Graph Pilot, enabling a unified view of customers by connecting data through standardized concepts and their logical relationships. In addition to meeting our Pilot objectives, we were able to gain immediate Data Management value in the form of improved data quality and discoverability, and we are moving forward with work to leverage the knowledge graph to monitor and enhance data quality. - - Offered on Columbia University’s Morningside campus in New York City, the Knowledge Graph Conference (KGC) is a world-class curated program that brings experienced practitioners, technology leaders, cutting-edge researchers, academics and vendors together for two days of presentations, discussions and networking on the topic of knowledge graphs. While the underlying technologies to store, retrieve, publish and model knowledge graphs have been around for a while, it is only in recent years that widespread adoption has started to take hold. As knowledge is an essential component of intelligence, knowledge graphs are an essential component of AI. They form an organized and curated set of facts that provide support for models to understand the world. Today, they power tasks like natural language understanding, search and recommendation, and logical reasoning. Tomorrow they will ubiquitously be used to store and retrieve facts learned by intelligent agents. In the enterprise, knowledge graphs are the ultimate dataset. Integrating and organizing together internal and external data sources. Knowledge graphs integrate with the larger information system: master data management, data governance, data quality. Their flexibility and powerful representation capabilities allow data scientists to tap them to build powerful models. The Knowledge Graph Conference is coordinated by Columbia University School of Professional Studies' Executive Education program. Visit: http://sps.columbia.edu/executive-edu... for more information.