Amazon SageMaker introduces a built-in AI agent that accelerates the development of data analytics and machine learning (ML) applications. SageMaker Data Agent is available in the new notebook experience in Amazon SageMaker Unified Studio and helps data engineers, analysts, and data scientists who spend significant time on manual setup tasks and boilerplate code when building analytics and ML applications. The agent generates code and execution plans from natural language prompts and integrates with data catalogs and business metadata to streamline the development process.
SageMaker Data Agent works within the new notebook experience to break down complex analytics and ML tasks into manageable steps. Customers can describe objectives in natural language and the agent creates a detailed execution plan and generates the required SQL and Python code. The agent maintains awareness of the notebook context, including available data sources and catalog information, accelerating common tasks including data transformation, statistical analysis, and model development.
To get started, log in to Amazon SageMaker and click on “Notebooks” on the left navigation. Amazon SageMaker Data Agent is available in US East (Ohio), US East (N. Virginia), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), and Asia Pacific (Sydney). To learn more, read the AWS News Blog or visit the Amazon SageMaker documentation.
Categories: general:products/amazon-sagemaker,marketing:marchitecture/analytics
Source: Amazon Web Services
Latest Posts
- AWS End User Messaging and Amazon SES now offer AI agent skills for the AWS MCP Server
- Amazon EC2 M8i and M8i-flex instances are now available in additional regions
- Amazon EC2 R8i and R8i-flex instances are now available in additional regions
- Amazon EC2 C8i and C8i-flex instances are now available in additional regions
