ML Fairness Stage
Impact
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08:00
WELCOME & OPENING REMARKS
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ML DESIGN & DEVELOPMENT
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08:10
People-First Approach: Collaboration on ML
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08:35
Supporting ML Model Formats, Training & Testing
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ML DEPLOYMENT
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09:00
Integrating DevOps & CI/CD Principles in ML Deployment
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09:25
COFFEE & NETWORKING BREAK
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09:35
Evaluation & Risk Monitoring: Data Drift & Model Accuracy
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10:00
End-To-End Model Lifecycle Management
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10:25
BREAKOUT SESSIONS: ROUNDTABLE DISCUSSIONS WITH SPEAKERS
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10:45
COFFEE & NETWORKING BREAK
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MANAGING & SCALING MLOPS
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10:55
Pipeline Reproducibility & Changes in Data/Goals
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11:20
Measuring Business Value from ML & Effective MLOps
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11:45
MAKE CONNECTIONS: MEET WITH ATTENDEES VIRTUALLY FOR 1:1 CONVERSATIONS & GROUP DISCUSSIONS
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12:15
END OF SUMMIT