AWS News Blog
Category: News
Use HAQM Q Developer to build ML models in HAQM 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.
HAQM 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 HAQM Bedrock capabilities enhance data processing and retrieval
HAQM Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.
Reduce costs and latency with HAQM 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 HAQM 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 HAQM SageMaker HyperPod task governance
Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams.
HAQM SageMaker Lakehouse integrated access controls now available in HAQM Athena federated queries
Connect, discover, and govern data across silos with HAQM SageMaker Lakehouse’s new data catalog and permissions capabilities, enabling centralized access and fine-grained controls.
HAQM SageMaker Lakehouse and HAQM Redshift supports zero-ETL integrations from applications
Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to HAQM SageMaker Lakehouse and HAQM Redshift.