Shijing Fang

(She / her / hers)

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 research, Machine Learning modeling, and experimentation. She obtained the Electrical Engineering bachelor’s degree, Applied Mathematics master’s, and MBA specialized in Technology Management. 

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 / 11:10AM PST (40 minutes)

Track

ML Everywhere

Topics

Machine LearningArtificial IntelligenceData Engineering

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