Build an End to End Data Strategy for Analytics and Generative AI by John Mousa

An end-to-end data strategy is a unified and integrated blueprint for analytics and generative AI applications to manage, access, and analyze all your data. AWS provides a comprehensive set of services to store, share, query, and analyze data to easily integrate across data lakes and data warehouses with high-performance SQL and Apache Spark analytics. AWS gives you the tools to catalog and govern that data through business intelligence, machine learning, and generative AI.

This session covers how a unified and integrated data strategy can help you navigate your data challenges, optimize analytics, and deliver faster insights.