Explainable AI: Finance’s Role in Creating an Effective Data Strategy
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Explainable AI: Finance’s Role in Creating an Effective Data Strategy
This lesson defines explainable and interpretable artificial intelligence, discusses considerations for developing flexible data strategies for AI and machine learning, and offers insights on establishing new performance and value-creation metrics.
Presented by:
Michael Schrage
Michael Schrage is a research fellow at the MIT Initiative on the Digital Economy. His current research focuses on the future of key performance measurement and AI. He is the author, most recently, of Recommendation Engines (MIT Press, 2020).
In this lesson, we will cover...
1
Explainable and Interpretable AI
2
Flexible Data Strategy and Governance
3
New Performance and Value Metrics
Master ‘Data and Disruption’
Unlock the full potential of AI and machine learning for finance
