Fuel innovation with data and AI

Build on a proven data foundation ready for analytics, generative and agentic AI. Access diverse data sources through our lake house architecture with comprehensive Apache Iceberg support and zero-ETL integrations that easily make data available from operational databases and eliminate complex pipelines. Let AI agents access data where it resides through native Model Context Protocol (MCP) server support without requiring unnecessary data movement.

Accelerate time to value through managed services that automatically handle scaling, provisioning, and maintenance across your entire data foundation, so your team can focus on innovations instead of infrastructure management. Maximize ROI with industry-leading price-performance across our data services while AWS manages the underlying infrastructure.
 

Transform raw enterprise data into trusted knowledge through intelligent data processing, quality monitoring, rich metadata, and lineage tracking that improve accuracy at every step. Secure your applications and AI agents through built-in governance, encryption, and fine-grained access controls across your data foundation. Maintain visibility into system-wide performance including data pipelines and model drift, all backed by enterprise-grade reliability.
 

This workshop will simulate a real-world scenario through the lens of different data professionals addressing actual business challenges. You'll experience the end-to-end process, from initial data analysis to deploying a generative AI powered targeted marketing campaign.