48943: Monitoring AI Models Deployed in Mainframe Applications for Trustworthy Decisions
Project and Program:
New and Innovative Technologies,
Machine Learning/AI
Tags:
Proceedings,
SHARE DC 2025,
2025
Monitoring AI models deployed in production environments is essential for
maintaining optimal results and building trust in the decisions they generate.
Join us as we uncover the strategies and techniques to continuously assess the
performance of deployed AI models. Learn how to detect performance drift for
immediate actions to ensure that your models deliver accurate and reliable
results over the time. We will also explore methods to enhance the
interpretability and understandability of AI-driven decisions from a business
context. Discover how to bridge the gap between complex model outputs and human
comprehension, enabling stakeholders to trust and leverage AI insights
effectively.
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