Capital Markets participants can’t trust black-box machine learning that overfits to past data.

Why do 87% of AI projects fail to make it beyond the experimental phase?

Join causaLens CEO, Dr Darko Matovski, and Director of Applied Data Science, Dr Andre Franca, to discuss how Causal AI unlocks superior decision-making in capital markets.

Darko and Andre will discuss the limitations of current approaches and share success stories of causaLens clients. Andre will present a technical demo (Jupyter notebook-based) discussing best execution & pricing (order book modelling) and other relevant applications for Sales and Trading desks.

Limitations of current approaches:
- “Black-box” approaches are not explainable and can’t be trusted
- Spurious correlations and hence severe overfitting
- Failing to capture the necessary domain expertise in the modelling process
- Lacking the business context to turn predictions into decisions

Attendance is free, but limited in spaces, and there will be a Q&A session at the end of the webinar.

Conference website