Category: Amazon Machine Learning

The week after AWS re:Invent builds on the excitement and energy of the event and is a good time to learn more and understand how the recent announcements can help you solve your challenges. As usual, we have you covered with our top announcements of AWS re:Invent 2024 post. You can now watch keynotes and […]

Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.

Build responsible AI applications – Safeguard them against harmful text and image content with configurable filters and thresholds.

Amazon Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.

Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency.

Discover, test, and use over 100 emerging, and specialized foundation models with the tooling, security, and governance provided by Amazon Bedrock.

Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.

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