MLOps.community #5 - High Stakes ML: Latent Conditions and Active Failures with Flavio Clesio

In our 5th meetup, we spoke with the Brasilian ML Engineer Flavio Clesio.

Machine Learning Systems play a huge role in several businesses from the Banking industry to recommender systems in entertainment applications until health domains. The era of "A Data Scientist with a Script in a single machine" is officially over in high stakes ML.

We're entering an era of Machine Learning Operations (MLOps) where those critical applications that impact society and businesses need to be aware of aspects like active failures and latent conditions. This talk will discuss risk assessment in ML Systems from the perspective of reliability, safety and especially causal aspects that can lead to the rise of silent risks in said systems.

Slides to the talk can be found here

Bio:

Flavio Clesio is Machine Learning Engineer (NLP, CV, Marketplace RecSys) and at the moment works at MyHammer AG, where he helps build Core Machine Learning applications to exploit revenue opportunities and automation in decision making.

Prior to MyHammer, Flavio was a Data Intelligence lead in the mobile industry, and business intelligence analyst in financial markets, specifically in Non-Performing Loans. He holds a master’s degree in computational intelligence applied in financial markets (exotic credit derivatives).

This was a virtual fireside chat between Flavio Clesio, Demetrios Brinkmann and the MLOps community. Relevant links can be found below. Join our MLOps slack community: https://bit.ly/3aOTwgR and register for the next meetup here.

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/

Connect with FLavio Clesio on Linkedin: https://www.linkedin.com/in/flavioclesio/

Episode source