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

Retail Fraud Round Table with TigerGraph

• Key Challenges in Retail Fraud
• Methods to reduce false positives by 10%
• Fraud based ‘data products’ for Preventive & Predictive analytics
• Use of Visualization for ‘Explainable’ ML

Fraud Toolkit in Medical Healthcare Claims

• Medical Healthcare Claims
• Machine Learning, Graph Technology, and Time Series Structure
• View Connections to Risky Communities
• Tweak Graph and Machine Learning Algorithms to Flag Identified Patterns

Predictive Analytics for Kinsa Health

Web Design, Courtesy of AI