Chip Huyen

(She / her / hers)

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 Systems Design at Stanford. She’s also published four bestselling Vietnamese books.

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Session

Streaming-first Infrastructure for Real-time ML

Because of data drift, the accuracy of an ML model degrades over time. How well a model performs depends on how often it’s updated. While companies like Alibaba, ByteDance, Google, Facebook have been able to leverage real-time pipelines to continually update many of their models in production and boost their performance, many companies still update their models manually. In this talk, we’ll discuss the state of continual learning for ML, its motivations, challenges, and possible solutions.

Date

Tuesday Nov 9 / 01:10PM EST (40 minutes)

Track

ML Everywhere

Topics

Machine LearningData EngineeringArtificial Intelligence

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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.

Date

Tuesday Nov 9 / 02:10PM EST (40 minutes)

Track

ML Everywhere

Topics

Machine LearningArtificial IntelligenceData Engineering

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