Category: Amazon SageMaker

Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.

Manage data and AI assets through a unified catalog, granular access controls, and a consistent policy enforcement. Establish trust via automation – boost productivity and innovation for data teams.

Unify data engineering, analytics, and generative AI in a streamlined studio with enhanced capabilities of Amazon SageMaker.

This week, we wrapped up the final 2024 Latin America Amazon Web Services (AWS) Community Days of the year in Brazil, with multiple parallel events taking place. In Goiânia, we had Marcelo Palladino, senior developer advocate, and Marcelo Paiva, AWS Community Builder, as keynote speakers. Florianópolis feature Ana Cunha, senior developer advocate, and in Santiago […]

Every week, there’s a new Amazon Web Services (AWS) community event where you can network, learn something new, and immerse yourself in the community. When you’re in a community, everyone grows together, and no one is left behind. Last week was no exception. I can highlight the Dach AWS Community Day where Viktoria Semaan closed […]

Pushing the boundaries of generative AI, Meta unveils Llama 3.2, a groundbreaking language model family featuring enhanced capabilities, broader applicability, and multimodal image support, now available in Amazon Bedrock.

Amazon SageMaker HyperPod’s integration with Amazon EKS brings resilience, observability, and flexibility to large model training, reducing downtime by up to 40%.

Dive into the numbers from Amazon’s record-breaking Prime Day 2024, from AI chip deployment to the staggering transaction volumes across AWS services like Amazon DynamoDB, Aurora, CloudFront, and more.