Model Performance Monitoring and Why You Need it Yesterday // Amit Paka // MLOps Coffee Sessions #42

Coffee Sessions #42 with Amit Paka of Fiddler AI, Model Performance Monitoring.

//Abstract
Machine Learning accelerates business growth but is prone to performance degradation due to its high reliance on data. Moreover, MLOps is often fragmented in many organizations, causing frictions to debug models in production. With new rules from the EU that focus on trust and transparency, it’s becoming more important to keep track of model performance. But how? We propose a new framework, a centralized ML Model Performance Management powered by Explainable AI. Learn more about how you can stay compliant while maximizing your model performance at all times with explainability and continuous monitoring.

//Bio
Amit is the co-founder and CPO of Fiddler, a Machine Learning Monitoring company that empowers companies to efficiently monitor and troubleshoot ML models with Explainable AI. Prior to founding Fiddler, Paka led the shopping apps product team at Samsung. Paka founded Parable, the Creative Photo Network, now part of the Samsung family. He also led PayPal's consumer in-store mobile payments launching innovations like hardware beacon payments and has developed successful startup products particularly in online advertising - paid search, a contextual, ad exchange, and display advertising. Paka has passions for actualizing new concepts, building great teams, and pushing the envelope, and aims to leverage these skills to help define how AI can be fair, ethical, and responsible.

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Connect with Amit on LinkedIn: https://www.linkedin.com/in/amitpaka/

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