Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

What Does Best in Class AI/ML Governance Look Like in Financial Services? // Charles Radclyffe // MLOps Meetup #2

What Does Best in Class AI/ML Governance Look Like in Financial Services? // Charles Radclyffe // MLOps Meetup #2

FromMLOps.community


What Does Best in Class AI/ML Governance Look Like in Financial Services? // Charles Radclyffe // MLOps Meetup #2

FromMLOps.community

ratings:
Length:
62 minutes
Released:
Mar 26, 2020
Format:
Podcast episode

Description

MLOps community meetup #2! Last Wednesday we talked to Charles Radclyffe, Technology Governance and ESG Specialist, AI Ethics.

What does best in class AI/ML governance look like in financial services?
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.

Join our open community where we discuss everything MLOps: https://mlops.community/ Join our MLOps slack channel: https://bit.ly/33wDUf1 MLOps.community forums: https://forum.mlops.community/ Sign up for the next weekly meetup: https://zoom.us/webinar/register/WN_a_nuYR1xT86TGIB2wp9B1g
Released:
Mar 26, 2020
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.