Amazon SageMaker
Managed machine learning service for building, training, and deploying ML models in the cloud.
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Use Cases
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Companies
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Industries
Companies Using Amazon SageMaker
Industries
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Use Cases (4)
Pinterest built an AI-powered discovery engine on AWS processing 18TB daily, delivering 10 million AI recommendations per second across 10,000+ GPU instances, driving 17% revenue growth and 70% AI-driven discovery.
Omnicom is one of the world’s largest marketing communications networks, with 75,000 employees serving over 5,000 clients across 70+ countries. The company migrated nine global data centers to AWS and built an AI-powered platform on Amazon Bedrock and Amazon SageMaker to deliver hyper-personalized campaigns at scale. The migration cut compute infrastructure costs by 90% while enabling real-time processing of 400 billion daily marketing events.
French biotech Phagos uses Amazon SageMaker AI to match phages to bacteria 99.5% faster, cutting treatment development from 10+ years to 2 months and reducing wet lab testing by 50%.
Petrobras applied generative AI and intelligent automation to its tax department, feeding 150 pages of Brazilian tax regulations and three months of financial data into a model built on Automation Anywhere, Amazon Bedrock, and Amazon SageMaker. In three weeks, the system identified $120 million in tax savings and filed taxes within three days—the first time in 15 years the team avoided weekend work during tax season. The company projects over $1 billion in total savings by year-end.