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Demos
Linking Unstructured Data Using Machine Learning
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Demo
Linking Unstructured Data Using Machine Learning
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Graph Technology
Data Science & Machine Learning
Summary:
Using unsupervised machine learning, we relate documents together based on their content.
Tensorflow
Document Management
Relationships
Graph
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C360 for Retail
Graph Analytics
Churn Avoidance, Upsell, Cross Sell
Loyalty, Clickstream Demographics
Focused Campaign Management
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Market Overview tab walkthrough
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Financial Services: Fighting AML and Trade Fraud
Process improvement
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Lightning Talk
UX Design for Data Products
Improving data products through UX design
Understanding, trusting, & taking action on data
Workflows, information hierarchy, & design systems
Testing designs to gain insights and iterate
Demo
Fraud Prevention: Healthcare
Claims Fraud
Risk Scoring
Opioid Segmentation
Fraud Intervention
Online Seminar
Data Products Strategy and Implementation Round Table
Data Products Organizational Strategy
Data Products Implementation Roadmapping
Delivery Optimization
Portfolio Optimization
Blog
Building Your Graph with Confluent Streams
Fault tolerant and durable data transmission plus system integration sourcing data for graph analysis.
CASE Study
GroundMetrics
How has the storage reservoir of CO2 changed over time?
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