Announcing Amazon Q Developer transformation capabilities for .NET (preview)

Unlock Linux’s power with Amazon Q Developer’s transformation capabilities for .NET porting – effortlessly modernize .NET applications from Windows to cross-platform .NET in your familiar IDE.

New Amazon Q Developer agent capabilities include generating documentation, code reviews, and unit tests

Enhancing coding productivity, Amazon Q Developer agents now offer capabilities for auto-generating documentation, conducting code reviews, and creating unit tests within IDEs and GitLab.

New capabilities from Amazon Q Business enable ISVs to enhance generative AI experiences

New Amazon Q Business capabilities help ISVs integrate with the Amazon Q index to retrieve data from multiple sources through a single API and customize the design of their Amazon Q embedded assistant.

Amazon Q Business is adding new workflow automation capability and 50+ action integrations

Amazon Q Business extends productivity with generative AI-powered workflow automation capability and 50+ actions for enterprise efficiency, enabling seamless task execution across tools like ServiceNow, PagerDuty, and Asana.

Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone

Realize visual traceability of data origins, transformations, and usage – bolstering trust, governance, and discoverability for strategic data-driven decisions.

Discover, govern, and collaborate on data and AI securely with Amazon SageMaker Data and AI Governance

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.

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse

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

Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse

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.

Amazon SageMaker Lakehouse and Amazon Redshift supports zero-ETL integrations from applications

Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to Amazon SageMaker Lakehouse and Amazon Redshift.