Deploying an AI model is not just a technical decision — it’s a business and risk decision.
In this module, we introduce a structured framework for understanding and evaluating AI models before they are deployed into production environments.
You’ll learn how to assess whether a model is truly “fit for purpose” by answering two critical questions:
What is the purpose of the model?
Is the model a good fit for that purpose?
We explore:
• How to define the business challenge the model is addressing
• How models integrate into operational processes
• How to evaluate model accuracy and performance
• Where model inaccuracy comes from
• What model explainability really means
• How to communicate model decisions internally and externally
• How to identify and mitigate deployment risks
This module shifts the focus from how models are built to how they should be evaluated, governed, and responsibly deployed .
Designed for professionals in finance and regulated industries who are responsible for:
– Model oversight
– Risk management
– Compliance and governance
– Product and strategy decisions
– AI implementation
Understanding models at a practical level is essential before approving them for real-world use.
This is Module 2 of our executive course on AI in Finance and Regulated Industries.
#AIModelEvaluation #AIGovernance #ModelRisk #AIinFinance #ResponsibleAI #RegulatedIndustries
