Despite the pace of advancement, organizations still struggle to achieve ROI with AI projects. With the explosion of generative AI applications, and mounting examples of model ‘hallucination’, it’s never been more important to build confidence in AI-enabled decisions. This is particularly true in high-risk settings, where more robust and transparent models are needed. In most cases, it’s the last mile of deploying AI into workflows where projects fail.

In his session, AI strategist and Pandata CEO, Cal Al-Dhubaib, will share lessons learned from real-world examples where we had to:

- Design secondary explainer models into workflows that empower decision-makers
- Deploy model monitoring systems to manage risk, bias, and drift
- Test the robustness of models, especially in applications that touch unstructured data
- Optimize for both model performance and the resulting human action and impact / ROI

This Course is a recording of one of the main stage talks at the Marketing Artificial Intelligence Conference (MAICON), which was held in July 2023.