Governing AI models: Why should I? And how can I? Sara Elo Dean, IBM
Generative AI has opened up new use cases for AI Engineers. In a business context, a critical element in any application using generative AI is to infuse transparency and accountability.
Users need to understand the degree of confidence they can have in a model's output. In this session, you will learn the key concepts of Model Governance and see it in action. watsonx.governance - part of IBM’s AI platform watsonx - provides metrics and indicators on the trustworthiness of generated output and the models themselves.
This session will show how AI engineers and other stakeholders can leverage these indicators and monitor the end to end lifecycle of models.
The demonstration shows governance in the insurance domain but the concepts easily translate to other domains.
Keynote speaker: Sara Elo Dean | Watson Delivery Solution Architect | IBM.
Sara Elo Dean is a Solution Architect in IBM Technology Expert labs. With over 17 years of experience at IBM in varying positions, she has been focusing on AI for Business and IBM Watson for the past 10 years. Now, she designs and builds solutions on top of IBM’s generative AI platform watsonx with and for customers in Europe.
The recording was shot at the Mimmit koodaa virtual event in Spring 2024. #MimmitKoodaa