Venue
Virtual Event
Virtual Event

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Event Date Fri Mar 26 EDT (7 months ago)
Region All
Details

This 3-hour course will discuss the growing impact machine learning and artificial intelligence is having on the banking industry, how it will likely shape the industry in the years to come and the concepts, issues and concerns a senior risk manager must be aware of to effectively manage the risk these innovations give rise to.

We will cover the following:

• Definitions of and distinctions between AI and ML
• Why the distinctions matter from a practical perspective
• The most pervasive uses of both in the financial industry, highlighting the hidden applications
• What are the risks and rewards associated with the applications
• What opportunities are on the horizon
• What is bias in modeling and how it impacts AI/ML models
• What should risk managers do to address bias in AI/ML models
• What governance frameworks should be considered for AI/ML models and how do they differ from traditional models/tools/software frameworks