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ML Drift - How to Identify Issues Before They Become Problems

Posted Dec 08, 2021 | Views 437
# Monitoring
# Presentation
# ML Drift
# ML
# Fiddler
# Fiddler.ai
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SPEAKERS
Amy Hodler
Amy Hodler
Amy Hodler
Evangelist, Responsible AI @ Fiddler

Amy helps organizations see how they can achieve more responsible AI by improving machine learning explainability, accuracy, and bias detection. As the AI evangelist for Fidder Labs, she educates data scientists on the use of continuous monitoring for modern MLOps.

Amy is the co-author of O’Reilly books on Graph Algorithms and Knowledge Graphs as well as a contributor to the upcoming book, AI on Trial. Amy has consistently helped teams apply novel approaches to generate new opportunities working at companies such as Microsoft, Hewlett-Packard (HP), Hitachi IoT, Neo4j, and Cray. Amy has a love for science history and a fascination for complexity studies.

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Amy helps organizations see how they can achieve more responsible AI by improving machine learning explainability, accuracy, and bias detection. As the AI evangelist for Fidder Labs, she educates data scientists on the use of continuous monitoring for modern MLOps.

Amy is the co-author of O’Reilly books on Graph Algorithms and Knowledge Graphs as well as a contributor to the upcoming book, AI on Trial. Amy has consistently helped teams apply novel approaches to generate new opportunities working at companies such as Microsoft, Hewlett-Packard (HP), Hitachi IoT, Neo4j, and Cray. Amy has a love for science history and a fascination for complexity studies.

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Demetrios Brinkmann
Demetrios Brinkmann
Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

Over time, our AI predictions degrade. Full Stop. Whether it's concept drift where the relationships of our data to what we're trying to predict as changed or data drift where our production data no longer resembles the historical training data, identifying meaningful ML drift versus spurious or acceptable drift is tedious. Not to mention the difficulty of uncovering which ML features are the source of poorer accuracy. Attend this meetup to understand the key types of machine learning drift and how to catch them before they become problems.

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