AI initiatives are on the rise as enterprises continue with their digital transformation. But AI is still a relatively immature area so operationalizing AI/ML models can be challenging – especially when it comes to risk management. Join us to learn how you can responsibly implement and operationalize AI/ML models with controls throughout the model’s life cycle and the right organization, tools and processes. In this session we wil discuss:
- Big challenges around risk for AI models
- Speed of delivery and keeping pace with market demands
- Monitoring, controls and remediation for AI models
- Pitfalls to avoid
This session is brought to you by: ModelOp
