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DTSTAMP:20260514T072640Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12918\nThe COVID-19 pandemic ha
 s accelerated the pace of digital transformation across all industries. Org
 anizations are looking for ways to accelerate their analytics, AI, and mach
 ine learning projects to increase revenue, manage risks, and improve custom
 er experience. Join us to learn about the three core capabilities necessary
  to drive the business outcomes:\n\n
 Connect internal and external datasets and pipelines with a distributed Gra
 ph Database — UnitedHealth Group is connecting 200+ sources to d
 eliver a real-time customer 360 to improve quality of care for 50 million m
 embers;  Xandr(part of AT&T) is connecting multiple data pipelines
  to build an identity graph for entity resolution to power the next-generat
 ion AdTech platform.\n
 Analyze connected data for never-before insights with Advanced Analytics &m
 dash; Jaguar Land Rover has accelerated supply chain planning from thr
 ee weeks to 45 minutes, reduced supplier risk by 35%, and is driving 3 time
 s the business value from their data. NewDay, a leading specialist financia
 l services provider and one of the largest issuers of credit cards in the U
 K, uses advanced graph analytics to prevent and preempt financial fraud.\n
 Learn from the connected data with In-Database Machine Learning —&nbs
 p;Intuit has built an AI-based customer 360 with in-database machine learni
 ng for entity resolution, personalized recommendations, and fraud detection
 . It is driving their transformation into an AI-driven expert platform. 7 o
 ut of the top 10 banks are driving real-time fraud detection and credit ris
 k assessment with in-database machine learning.\n\nWe will share design con
 siderations and deployment best practices from these case studies to help y
 ou chart your own course with Graph & AI.
DTSTART:20210422T120000
SUMMARY:How Intuit, Jaguar Land Rover, Xandr, and UnitedHealth Group Are Dr
 iving Business Outcomes with Graph Database and AI
DTEND:20210422T122959
LOCATION: See Description
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