Kosti Vasilakakis

As organizations scale AI agent development, robust enterprise architecture patterns become essential. In this advanced session, we'll explore how Amazon Bedrock AgentCore enables teams to build modular systems using their preferred frameworks while sharing tools through MCP gateways.

While organizations are striving to solve increasingly complex business problems with ML, doing so can require deep technical skills. Amazon SageMaker Canvas is a no-code visual interface that empowers analysts to prepare data, build, and deploy highly accurate ML models.

Join this chalk talk to uncover how Amazon Bedrock IDE within Amazon SageMaker Unified Studio empowers users to rapidly build, customize, and verify generative AI applications through governed collaboration.

Amazon SageMaker Canvas is a visual, point-and-click service that makes it easy for business analysts to build ML models and generate accurate predictions without writing code or requiring ML expertise. In this session, learn how SageMaker Canvas makes it easy to seamlessly access and combine data from a variety of sources, automatically clean data and apply a variety of data adjustments, and...