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The center for all your data, analytics, and AI – Amazon SageMaker – AWS
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939 reactions · 19 shares | Tear down inefficient data pipelines & build anew. ️☁️ Amazon SageMaker leverages powerful SQL capabilities from Amazon Redshift to analyze your unified data enabling near real time analytics to accelerate decision-making without building complex data pipelines. Unclog your data flow & let insights pour in. ️ https://go.aws/3Bitq8d | Amazon Web Services | Facebook
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Unlock the power of your data with a unified data & AI platform. 🔓🔑☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. 🖇️ https://go.aws/49iZwxc | Amazon Web Services
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17K views · 90 reactions | Sip from a centralized data lake & quench your thirst from operational overload. 遼☁️ Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse removes the need to build & manage data pipelines - so you can focus on gaining insights from data. Refreshing. ️ https://go.aws/3Dz6sKF | Amazon Web Services | Facebook
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1.4K reactions · 43 shares | AI project acceleration awaits—floor it with AWS. ️⚡️☁️ With Amazon SageMaker AI, now available through the unified studio, you can build, train, & deploy models with familiar ML & FM building capabilities. Pave the way to accelerated development with fully managed infrastructure, tools, & workflows. ️ https://go.aws/4gs14XW | Amazon Web Services | Facebook
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A strong foundation supports endless possibilities. ☁️💻🔨 Amazon SageMaker HyperPod is purpose-built for foundation model development—reducing training time by improving training performance, optimizing resource utilization, and enabling an efficient training environment. 🖇 https://go.aws/46BbTBK | Amazon Web Services
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