AWS News Blog
Category: Launch
Solve complex problems with new scenario analysis capability in Amazon Q in QuickSight
Find solutions to your most critical business challenges with ease. Amazon Q in QuickSight enables business users to perform complex scenario analysis up to 10x faster than spreadsheets.
Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas
Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.
Amazon Bedrock Guardrails now supports multimodal toxicity detection with image support (preview)
Build responsible AI applications – Safeguard them against harmful text and image content with configurable filters and thresholds.
New Amazon Bedrock capabilities enhance data processing and retrieval
Amazon Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.
Reduce costs and latency with Amazon Bedrock Intelligent Prompt Routing and prompt caching (preview)
Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency.
Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans
Unlock efficient large model training with SageMaker HyperPod flexible training plans – find optimal compute resources and complete training within timelines and budgets.
Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance
Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams.
Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries
Connect, discover, and govern data across silos with Amazon SageMaker Lakehouse’s new data catalog and permissions capabilities, enabling centralized access and fine-grained controls.