Venue
Online

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Event Date Thu Jul 28 UTC (over 2 years ago)
In your timezone (EST): Wed Jul 27 8:00pm - Wed Jul 27 8:00pm
Location Online
Region EMEA
Details

During this session, we will discuss:

1. How to Build & Understand Scorecards
• Build, assess, and monitor machine learning models in an intuitive drag-and-drop interface or the SAS language, R, and Python code
• Enable your team to easily generate credit applicant predictions by developing scorecards, collection models, and Basel reports
• Manage third-party data – delinquency scores, failure scores, payment ratings, demographics, historical account activity, etc. – to know the probability of loan default and minimize your organization’s risk.

2. How to Deploy Predictive Models with Confidence
• Deploy models (via Cloud, server, or local) as APIs for real-time and on-demand applications
• Track performance to ensure model currency
• Integrate directly with common third party applications like Fiserv, Jack Henry, Black Knight, Sagent, Loan Sphere, Equifax, Experian, and more
• Import and export models built in Python, R, or the SAS language

Speakers

2022 Speaker

Presenter:

Chris Long
VP of Worldwide Data Analytics Solutions, Altair