Best practices for analytics and generative AI on AWS
There’s never been a better time to work with data in the cloud. Rapid adoption of new data architecture patterns and creative breakthrough technologies such as generative AI are rapidly moving data and analytics to the cloud. Organizations want to be cost-efficient while maximizing performance and are looking for guidance on data strategy and data pipeline optimization to build a strong data foundation for their analytics and generative AI applications. In this session, hear best practices across core AWS analytics services to swiftly and economically get answers from all your data.
ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.
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