How to Reduce Financial Risk with The Right Data

Presented by

Alvin Huang, Business development lead for capital markets at AWS, and Rishi Singh, Explorium VP customer success

About this talk

Risk officers and analysts across financial services companies and banks realize that risk modeling in 2020 requires better data. Even the most sophisticated machine learning models are insufficient without the most relevant risk signals pulled from external data sources. On Tuesday, November 10 at 12 pm EST, join Alvin Huang, business development lead for capital markets at Amazon Web Services (AWS), and Rishi Singh, Explorium VP customer success, as they discuss: - The new challenges of risk modeling and how to increase model accuracy - An innovative strategy for controlling risk by gaining the broadest insight possible on potential lendees - The benefits of connecting to external data to accelerate results and time to market
Related topics:
Data Science
Financial Risk Management
Machine Learning
AI
Alternative Data
Predictive Analytics
Risk Signals
Data Discovery
Risk Modeling
AWS

More from this channel

Explorium
Upcoming talks (0)
On-demand talks (2)
Subscribers (824)
Explorium transforms the way organizations find and acquire data for their machine learning (ML) models. The platform removes the need to spend significant resources and time finding data that works by offering instant access to thousands of relevant external data sources and distilling the most impactful features for each business use case. A unique combination of capabilities and an innovative approach to data acquisition make Explorium’s platform the first of its kind in finding external data. Visit www.explorium.ai to learn more.…