As generative AI continues to evolve, a solid data foundation is vital for leveraging machine learning and AI capabilities. With high-quality, well-structured data, AI models can learn, innovate, and generate business value. A robust data foundation empowers data-driven decision-making, accelerates AI-driven innovation, and reveals new paths for growth and transformation. To fully capitalize on generative AI, effective data management and governance are critical. By focusing on data quality and infrastructure, organizations can tap into the limitless potential of AI.

 What You’ll Gain:

In this session, we will explore the reasons why data foundation is crucial for harnessing the power of machine learning and artificial intelligence, enabling AI models to learn, innovate, and drive business value with high-quality, well-organized data. We'll then explore how Amazon SageMaker Unified Studio IDE serves as a comprehensive solution for building a robust data foundation layer. This includes discovering data from catalogs, ingesting and processing data into S3 tables to create a data lake with advanced features like ACID compliance, schema evolution, and time travel. Additionally, it implements data governance and quality controls to ensure high-quality, well-organized data is delivered to the right users. we will demonstrate these concepts in a live demo and discuss best practices for data foundation using Amazon Sagemaker Unified Studio.

 Agenda:

Data foundation on AWS

              · Benefits of data foundation on AWS

              · Data pipeline paradigm

 Scaling AWS data foundation for generative AI

              · Age of generative AI

              · Scaling for generative AI applications

              · Unstructured data processing

              · Comprehensive data governance

 Optimized data stores for generative AI

              · RAG with vector data

              · Advanced data integration

 Amazon Sagemaker Unified Studio

              · Amazon Sagemaker Lakehouse

              · Amazon S3 Tables

              · Amazon Redshift Managed Storage Use Cases

              · Zero ETL Integration

              · Amazon Sagemaker Data and AI Governance

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