ODSC - Open Data Science

JULY 19, 2023

Model Observability: To be effective at monitoring and identifying model and data drift there needs to be a way to capture and analyze the data, especially from the production system. We have implemented Azure Data Explorer (ADX) as a platform to ingest and analyze data. is modified to push the data into ADX.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

AWS Machine Learning Blog

AUGUST 29, 2023

The proposed architecture for the batch inference pipeline uses Amazon SageMaker Model Monitor for data quality checks, while using custom Amazon SageMaker Processing steps for model quality check. Model approval After a newly trained model is registered in the model registry, the responsible data scientist receives a notification.

Data Scientist 91

Data Scientist Data Quality Python ML 91

Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. That’s where you start to see data drift.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. That’s where you start to see data drift.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. That’s where you start to see data drift.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

MAY 12, 2023

Compute, big data, large commoditized models—all important stages. But now we’re entering a period where data investments have massive returns from all performance as well as business impact. How are you looking at model evaluation for cases where data adapts rapidly? KM: Final question before we end the session.

Machine Learning 52

Machine Learning Data Scientist Data Science ML 52

Snorkel AI

MAY 12, 2023

Compute, big data, large commoditized models—all important stages. But now we’re entering a period where data investments have massive returns from all performance as well as business impact. How are you looking at model evaluation for cases where data adapts rapidly? KM: Final question before we end the session.

Machine Learning 52

Machine Learning Data Scientist Data Science ML 52