AI/ML at the edge with real-world customer deployments

Enterprises and public sector customers increasingly leverage artificial intelligence (AI) and machine learning (ML) technologies at the edge to deliver best-in-class operations and citizen service, like automating quality inspection with Computer Vision, performing AI-assisted procedures for preventative care, and improving ad targeting with Natural Language Processing (NLP).

This session dissects cutting-edge AI/ML scenarios, whether driven by real-time predictions and responses, legal restrictions on third-party sensitive data sharing, or local processing of large volumes of data. We also highlight how AWS customers like Mercado Libre, Corning, Apollo Hospitals, and Gum Gum delivered innovative solutions with AWS AI/ML and edge services.

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Deploying a high-performance ML storage infrastructure
Deploying a high-performance ML storage infrastructure

See how customers are using Amazon FSx for Lustre to accelerate workloads and augment their compute during ...

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How to cost-effectively train and deploy generative AI models with AWS Trainium and AWS Inferentia
How to cost-effectively train and deploy generative AI models with AWS Trainium and AWS Inferentia

Learn how AWS Trainium and AWS Inferentia can help you with faster, lower cost, and energy efficient traini...