MLOps Done Right with Centralized Model Performance Management Powered by XAI | Tecton

Tecton

MLOps Done Right with Centralized Model Performance Management Powered by XAI

apply(conf) - Apr '21 - 10 minutes

Machine Learning brings success to any business through additional revenue and competitive advantages. But due to its high reliance on data, it is natural for ML models to degrade in performance over time. Whether it be from data drift or integrity, there’s a new way to ensure high-quality model performance with a centralized ML Model Performance Management framework powered by Explainable AI. Join us to learn how to maximize your model performance at all times using explainability and continuous model monitoring.
Krishna Gade

Co-Founder and CEO

Fiddler

Krishna is the co-founder and CEO of Fiddler, an Explainable AI Monitoring company that helps address problems regarding bias, fairness and transparency in AI. Prior to founding Fiddler, Gade led the team that built Facebook’s explainability feature ‘Why am I seeing this?’. He’s an entrepreneur with a technical background with experience creating scalable platforms and expertise in converting data into intelligence. Having held senior engineering leadership roles at Facebook, Pinterest, Twitter and Microsoft, he’s seen the effects that bias has on AI and machine learning decision-making processes, and with Fiddler, his goal is to enable enterprises across the globe solve this problem.

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