Episode 33

Lessons Learned from Applying Data Science in Finance and a Deep Dive into Drift with Mabu Manaileng and Adam Lieberman

In this episode, Anna sits down with two leaders in the finance industry, exploring the forefront of AI and ML innovations.

First, we have Mabu Manaileng, Lead Data Scientist at Standard Bank Group. Mabu shares his journey and current role, highlights the challenges of applied data science in the financial sector, and discusses the transformative impact of AI on banking in the coming years.

Next, we welcome Adam Lieberman, Head of AI and ML at Finastra. Adam defines the concept of drift, discusses statistical measures to quantify it, and provides strategies for maintaining model health, ensuring that models continue to serve users’ needs effectively.