Servicio gestionado de aprendizaje automático para construir, entrenar e implementar modelos de ML en la nube.

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Casos de uso5
Empresas4
Industrias4

Casos de IA con Amazon SageMaker

1P
How Pinterest Delivers 10M AI Recommendations per Second on AWS
Pinterest · Sales
17% YoYRevenue Growth
2O
How Omnicom Built an AI Marketing Platform on AWS Cutting Costs 90%
Omnicom · Marketing
90%Compute infrastructure cost reduction
3P
How Petrobras Uses Generative AI to Uncover $120M in Tax Savings
Petrobras · Finance
$120MTax savings identified
4P
How Phagos Uses Generative AI to Develop Antibiotic Alternatives in 2 Months Instead of 10 Years
Phagos · Research & Development
10+ years to 2 monthsTreatment Development Time
5O
How Omnicom Uses AWS to Cut Infrastructure Costs 90% and Build an AI-Powered Marketing Platform
Omnicom · Operations
90%Reduction in compute infrastructure costs
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Madurez de IA

Etapa de implementación promedio en los casos documentados.

0Piloto2Escalando3Maduro
Industrias

Industrias más frecuentemente impactadas en los casos con esta herramienta.

Media & Entertainment
2
Technology
1
Biotechnology
1
Energy
1

Usado frecuentemente con

1AB
Amazon Bedrock
Fully managed service for accessing foundation models from leading AI companies via AWS.
2AR
Amazon Redshift
Cloud data warehouse optimized for running fast SQL analytics on large datasets at scale.
3AE
Amazon EKS
Managed Kubernetes service for running containerized applications
4AA
Automation Anywhere
RPA platform by Automation Anywhere that automates repetitive business processes using AI-powered bots.
5AB
Amazon Bedrock AgentCore
Managed infrastructure for deploying and orchestrating AI agents at enterprise scale
Funciones de negocio clave

Áreas más frecuentemente impactadas en los casos con esta herramienta.

Sales
1
Marketing
1
Research & Development
1
Finance
1
Operations
1
Empresas

Empresas que usan esta herramienta en casos documentados.