Jason Berkowitz

AI/ML teams want to move fast, experimenting with models, fine-tuning them on their data, and serving them in production. This session is for customers that want to learn how Amazon SageMaker AI lets you build, customize, and deploy models and introduces recently launched features.

As autonomous agents outpace static governance, how are you maintaining trust? Join AWS leaders, for a peer-to-peer discussion on governing agentic AI. Share your perspectives on ensuring data quality, managing identity when AI acts for users, and building practical strategies and a governance operating model that enable orchestration for autonomous workflows.

AI agents are only as effective as the data they rely on. This chalk talk focuses on how to build and manage high-quality data products and contextual information for use by AI agents.

In this chalk talk, dive deep into data governance with AWS analytics, exploring the capabilities of Amazon DataZone. Discover how to establish robust data governance practices through comprehensive data discovery, cataloging, and lineage tracking.

Businesses are looking for a decentralized, domain-oriented modern data architecture that enables zero-ETL, zero-copy, and governed sharing of data products to internal and external customers that is easy for users to access. Join this session to learn the latest low-code AWS analytics and ML capabilities.

Data governance is the process of managing data throughout an end-to-end process, ensuring its accuracy and completeness and making sure it is accessible to those who need it. Join this session to learn how AWS is delivering comprehensive data governance— from data preparation and integration to data access, data quality, and metadata management—across analytics services.

AWS provides data analytics and ML services to allow companies of every size to transform their business by unlocking value from their data. In this session, Brad Burke, the chief data officer of American Family Insurance, joins us to share American Family’s journey from being data-rich to becoming data-driven with a focus on platform, people, and mission.