For this episode, we are joined by Charles Radclyffe, who until very recently was the Head of AI at Fidelity. Some of his other feats include starting 3 companies, TEDx talks, and advising the likes of HSBC, Barclays, Morgan & Stanley, and Deutsche Bank. He has focused his career on solving tough technology challenges for some of the world's largest organizations, for more on him, follow on twitter or connect on LinkedIn

Governance is coming for us all, but it’s especially pertinent in regulated industries such as the finance sector. Financial institutions must be mindful of how their machine learning models are being used and experimented with as regulators are keen to understand the quality of controls across the industry.

Our conversation is centered around Charles’ past experiences heading up the AI capability for a large organization in the financial industry, and his learnings during that time. We will also touch on what ideal AI/ML governance looks like in his eyes and where he sees we need to focus our attention for future success within this area. What do data scientists and ML engineers need to learn about governance to ensure business success as laws are continually changing?

This episode is a virtual fireside chat for the first 40 minutes and in the last 20 minutes we open up the floor to any questions. Please feel free to join our slack channel or forum to chat more about MLOps.

Link to MIT Techlash blog Charles wrote.