AWS Machine Learning Blog

FEBRUARY 21, 2025

Deployment times stretched for months and required a team of three system engineers and four ML engineers to keep everything running smoothly. With just one part-time ML engineer for support, our average issue backlog with the vendor is practically non-existent.

Data Science 72

Data Science Data Scientist Data Ingestion DevOps 72

AWS Machine Learning Blog

FEBRUARY 11, 2025

Conclusion In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and deploy a wide range of pre-trained FMs for inference, including Metas most advanced and capable models to date. On the endpoint details page, choose Delete. Choose Delete again to confirm. models today.

Computer Vision 80

Computer Vision ML Python Automation 80

AWS Machine Learning Blog

FEBRUARY 27, 2024

These improvements will help Axfood’s data science teams building ML workflows in a more standardized way and will greatly simplify analysis and monitoring of models in production—ensuring the quality of ML models built and maintained by our teams. About the Authors Dr. Björn Blomqvist is the Head of AI Strategy at Axfood AB.

Machine Learning 136

Machine Learning DevOps Data Scientist Data Quality 136

AWS Machine Learning Blog

MAY 9, 2024

Envision an AI strategy With the objective to drive business outcomes, establish a compelling multi-year vision and strategy on how the adoption of AI/ML and generative AI techniques can transform major facets of the business.

ML 130

ML Generative AI AI AI 130