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
Consulting
Consulting
UX for Complexity
Assessments
Rapid Prototyping
Modernization
Custom Software
Software
Supply Chain
Radiant Path
Fraud detection
Fraud Detection & Investigation Toolkit
Finance
Finance 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!
Gallery
>
BY Type
>
Demos
Financial Services: Fighting AML and Trade Fraud
Share
Demo
Financial Services: Fighting AML and Trade Fraud
Tags:
Finance
Fraud Detection
Data Science & Machine Learning
Graph Technology
Summary:
Process improvement
Provide alerts
Case management
More Demos
VIEW ALL
Demo
Finance Toolkit
Market Overview tab walkthrough
Company Overview tab walkthrough
Demo
Radiant Path Demo
Supply chain planner user flow walkthrough
Flow health view
Mitigation Strategy
Manufacturing models
Demo
Entitlements & ID Management Demo
Super User View
Historical Data
Fraud Avoidance
Master ID Recognition
VIEW ALL RETAIL
Related Content
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
Radiant Path Demo
Supply chain planner user flow walkthrough
Flow health view
Mitigation Strategy
Manufacturing models
Online Seminar
Decreasing Risk and Enabling Real-Time Decision Making in Alternative Investing
Financial Alternative Assets
Portfolio Optimization
Asset Management
Compliance & Audit
Blog
The Three Paradigms of GraphML
The three types of graph machine learning (graphML) are smart data extraction, data structure analysis, and full graphML. This article explains all three.
CASE Study
Valent U.S.A. LLC
Use machine learning to forecast crop growth.
More About
Finance
>
More About
Fraud Detection
>
More About
Data Science & Machine Learning
>
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}
