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PANEL DISCUSSION

ML Panel: "ML in Production - What's Next?"

The panel will discuss the current lessons learned with putting ML systems into production.

What is working and what is not working, from building ML teams, dealing with large datasets, governance and ethics/privacy issues, and what's around the corner for production ML, and ML in computing systems in general.


Speaker

Chip Huyen

Founder at stealth startup & Teaching ML Sys @Stanford

Chip Huyen is an engineer and founder working to develop tools for ML models to continually learn in production. Through her work with Snorkel AI, NVIDIA, and Netflix, she has helped some of the world’s largest organizations deploy machine learning systems. She teaches Machine Learning...

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Speaker

Shijing Fang

Principal Data Scientist @Microsoft

Shijing Fang is the Principal Data Scientist at Microsoft. With fifteen years of industrial experience as data scientist, Shijing has been influencing business decisions to improve customer product experience, lifetime value, and investment ROI through data analysis, market competitive...

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Speaker

Vernon Germano

Senior Manager of Machine Learning Engineering @zillow

Vernon Germano is a Sr Manager of Machine Learning Engineering for Zillow. Vernon leads machine learning, software engineering and data engineering teams who create automated offers and automated pricing services for underwriting and resale of residential real estate nationally for Zillow...

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Date

Tuesday Nov 9 / 11:10AM PST (40 minutes)

Track

ML Everywhere

Topics

Machine LearningArtificial IntelligenceData Engineering

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