contact us
Solutions
By Topic
Supply Chain
Customer 360
Fraud Detection
Graph Technology
Data Products & ML
Identity Management & Entitlements
By Industry
Financial Services
Retail
Energy
Life Sciences & Health Care
Services
UX for Complexity
Assessments
Rapid Prototyping
Modernization
Custom Software
Expert Training Courses
Products
Supply Chain
Radiant Path
Fraud detection
Fraud Detection & Investigation Toolkit
Contact Tracing
Overview
Combat the Curve Game
Future Trace
BackTrack
Resources
Gallery
Case Studies
Demos
Blog
Podcast
Events
About Us
Contact Us
Merch
Leadership
Careers
contact us
CONTACT US
Thank you!
We got your message and we'll reach out to you shortly.
In the meantime, check out our Gallery!
view our gallery
Something went wrong while submitting the form, please try again!
Share
Lightning Talk
Transportation, Auto & Infrastructure
Tags:
Supply Chain
Data Science & Machine Learning
Retail
Graph Technology
Summary:
Risk Based Characteristics
Varied Infrastucture
Risk Scoring
Time-Series Forecasting
Related Content
Lightning Talk
Deploying Machine Learning Systems
Scatter Plots
ML Behind the Scenes
Satisfaction Scoring
Linear Regression
Online Seminar
Fraud Detection and Optimization using Graph & ML
Finserv Fraud with Graph and ML 101
Determanistic Algorithms
Demo: Insurance Fraud
Datastax Enterprise
Demo
Customer 360: Retail
Cross Sell / Up Sell
Recommendation
Customer Relationship
Marketing Campaign
CASE Study
Optimizing A Multi-National Supply Chain
Blog
Synchronizing RBAC to TigerGraph using Confluent/Kafka
Learn how Confluent and TigerGraph can help your organization model and use RBAC within a graph to speed up query times over typical relational database models.
More About
Supply Chain
>
More About
Data Science & Machine Learning
>
More About
Retail
>
More About
Graph Technology
>
Subscribe to our quarterly newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
.svg){kind=icon}
