The MLOps Blog

JUNE 27, 2023

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Flexibility, speed, and accessibility : can you customize the metadata structure? Can you see the complete model lineage with data/models/experiments used downstream?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MARCH 1, 2023

Challenges In this section, we discuss challenges around various data sources, data drift caused by internal or external events, and solution reusability. For example, Amazon Forecast supports related time series data like weather, prices, economic indicators, or promotions to reflect internal and external related events.

Automation 101

Automation ETL Data Drift ML 101

The MLOps Blog

MARCH 12, 2024

Model management Teams typically manage their models, including versioning and metadata. Monitoring Monitor model performance for data drift and model degradation, often using automated monitoring tools. Models are often externally hosted and accessed via APIs.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models LLM 52

AWS Machine Learning Blog

SEPTEMBER 21, 2023

This workflow will be foundational to our unstructured data-based machine learning applications as it will enable us to minimize human labeling effort, deliver strong model performance quickly, and adapt to data drift.” – Jon Nelson, Senior Manager of Data Science and Machine Learning at United Airlines.

Auto-complete 124

Auto-complete Machine Learning Computer Vision ML 124