March 25, 2020 9:00 AM
This event is designed as a 'Speed Dating' format with focus on key topics for under 15 minutes in order to maximize the insights. During this online meet up, you'll learn from our experts on how Expero and TigerGraph technology can unlock the potential in your organization. We will feature unique TigerGraph and Expero technology lightning talks, followed by a short Q&A session. Four bite sized informative sessions to learn how to use TigerGraph and Expero to maximize the effectiveness of your business.
What You'll Learn:
- Why Graph is uniquely qualified for all Fraud types: AML, Synthetic Id's, Transaction Fraud, Credit Card, etc.
- How utilizing Graph & ML can cut costs by 10%
- Using Graph & ML to increase accuracy of Fraud determinations by 20%
- Drive real-time decisions and increase velocity to identify and intervene
- Detailed review of ML methods and approaches combined with Graph to realize the accuracy increase
Session 1 (12 min): Why & How Graph, ML and Visualizations are Game Changers
Session 2 (12 min): 4 'The Art of the Possible' Fraud Demonstrations - AML, Claims, Criminal & Credit Card Fraud
Session 3 (12 min): Details of How Graph & ML Increase Accuracy & Answers in Real-Time
Session 4 (12 min): Show How TigerGraph Combined with ML Approaches Fraud Detection Differently
Session 5 (5 min): Open Q&A
Scott Heath is responsible for Expero's sales, marketing, and strategic business development efforts. On an average day, you'll find him on the phone, at the whiteboard, or just gesticulating wildly in someone's office. Scott is skilled at distilling the Expero team's vast knowledge and experience into manageable, accessible, and cohesive buckets.
Dr. G loves data. His favorite part of work is daydreaming up innovative solutions to quantifiable problems and planning an implementation strategy. Building intelligent systems is his passion whether it's automated derivatives trading bots, adaptive image processing algorithms, or autonomous musical composers. Whether deep learning is the optimal solution or not, helping customers succeed through solving their analytics problems is where Graham finds the most satisfaction.