Remove AI Strategy Remove Automation Remove ML Engineer
article thumbnail

How Rocket Companies modernized their data science solution on AWS

AWS Machine Learning Blog

To promote the success of this migration, we collaborated with the AWS team to create automated and intelligent digital experiences that demonstrated Rockets understanding of its clients and kept them connected. With just one part-time ML engineer for support, our average issue backlog with the vendor is practically non-existent.

article thumbnail

Meta SAM 2.1 is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

This cutting-edge model supports long-context processing, complex segmentation scenarios, and fine-grained analysis, making it ideal for automating processes for various industries such as medical imaging in healthcare, satellite imagery for environment monitoring, and object segmentation for autonomous systems. Meta SAM 2.1 Meta SAM 2.1

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

Automation of building new projects based on the template is streamlined through AWS Service Catalog , where a portfolio is created, serving as an abstraction for multiple products. This functionality enables us to build generative AI applications in the future for increased understanding of how the model works.

article thumbnail

Establishing an AI/ML center of excellence

AWS Machine Learning Blog

Lifecycle management Within the AI/ML CoE, the emphasis on scalability, availability, reliability, performance, and resilience is fundamental to the success and adaptability of AI/ML initiatives. Incident management AI/ML solutions need ongoing control and observation to manage any anomalous activities.

ML 130