Day 1: Jun 4, 2025
Day 2: Jun 5, 2025
4:30 pm
CASE STUDY: MLOPS
MLOps: How Interac builds trust in the Canadian financial ecosystem through Machine Learning at scale
As organizations look to productionize AI/ML at scale, effective development, deployment, and operationalization of models in production has become essential.
In this session, Interac will share its journey towards delivering ML capabilities at scale using MLOps, along with some of the challenges faced along the way. Key insights include:
- Aligning approach for ML development & operations with organizational strategy & constraints
- Ensuring data and feature readiness in a dynamic environment
- Enabling downstream operations teams with model observability and explainability
- Incorporating comprehensive model governance and validation into model lifecycle
