Getting started with your data shouldn't require hours of setup or juggling multiple tools. Discover how the latest launches for Amazon SageMaker, including one-click onboarding of existing datasets and a new serverless notebook with a built-in AI agent help you move from raw data to production-grade pipelines and applications. We'll show you how our newest announcements translates into faster time-to-value, reduced operational overhead, and the ability to scale from exploration to production.

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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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Learn how organizations are modernizing their data architectures using the next generation of Amazon SageMaker to create AI-ready data platforms. This session covers how to design and build modern data architectures that enable both innovation and control, examining real-world patterns for data lake consolidation, cross-account governance, and AI integration. This session is ideal for enterprise architects and technical leaders planning large-scale architectural transformations to support their AI/ML initiatives.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

Join this session to learn about the latest capabilities in Amazon SageMaker Catalog that help organizations govern data and AI more effectively. We will walk through new features that make it easier to discover, govern, and securely share structured and unstructured data, models, business intelligence dashboards, and applications. You’ll hear how customers are using these capabilities to improve data discovery and access, streamline compliance, and support AI initiatives.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

Learn the latest in data and AI development with the next generation of Amazon SageMaker. In this session, we'll cover new innovations that are transforming how enterprises build, deploy, and scale analytics and AI. Dive deep into the features of SageMaker Unified Studio, discover the latest catalog capabilities, and see how our lakehouse architecture is breaking down silos between data, analytics, and AI. From streamlined development experiences to enterprise-grade governance, you'll discover why Amazon SageMaker is the best place to to work with your data at AWS.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

Learn how to build efficient generative AI solutions using AWS services like SageMaker and Bedrock. We'll explore practical optimization techniques including quantization and pruning, along with cost-saving infrastructure features such as spot instances and intelligent storage tiering. Discover how to leverage AWS's native capabilities to create high-performance AI solutions that are both environmentally conscious and budget-friendly.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

Many enterprises want to build a culture of AI innovation and manage it at scale. Learn how a leading financial institution implemented a unified data and AI platform with built-in governance to solve this challenge. Using the next generation of Amazon SageMaker, their petabyte-scale solution enables users to discover and access data in a cloud-native marketplace then build in a unified data and AI development environment. This session is ideal for data and platform leaders looking to balance self-service capabilities with robust governance to enable AI initiatives.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

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.

AWSreInvent #AWSreInvent2025 #AWS

Learn how to optimize and deploy popular open-source models like Qwen3, GPT-OSS, and Llama4 using advanced inference engines such as vLLM on SageMaker. We'll explore key features including bidirectional streaming for audio and text applications, and share proven optimization techniques for inferencing. Through live demos, learn to boost performance with KV caching, intelligent routing, and autoscaling to maintain stability under varying loads. We'll demonstrate solutions for building Agentic workflows with SageMaker AI, LangChain, and Amazon Bedrock AgentCore integration and share best practices helping you confidently move from prototype to trusted AI experiences that delight users.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

Building sustainable, cost-effective generative AI on AWS requires integrating agentic AI, efficient architecture, and cloud-native optimization. Agentic systems using Amazon Bedrock AgentCore employ contextual memory, asynchronous execution, and on-demand tool invocation to minimize compute waste. MCP enables secure connections between AI agents, AWS services, and custom tools. Efficiency increases through AWS's Trainium and Inferentia2 silicon (50% better performance per watt), Amazon SageMaker for scalable development, and optimization techniques like quantization and speculative decoding. Auto-scaling, batch processing, and spot instances prevent over-provisioning. Combined with CloudWatch and Cost Explorer monitoring, this approach delivers high-performance, low-carbon generative AI solutions.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

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.

AWSreInvent #AWSreInvent2025 #AWS

Training large AI models requires significant compute resources and can be time and cost intensive. In this session, learn to optimize and accelerate your model training workloads using AWS's purpose-built infrastructure and tools. We'll dive deep into leveraging services like Amazon SageMaker HyperPod for distributed training at scale and SageMaker fully managed training jobs for cost-effective ML acceleration. You'll learn to scale training across clusters using techniques like data and model parallelism, automated model tuning, and efficient checkpoint management. Through real customer examples, see how to reduce training time by up to 40%, optimize costs, and build high-performance training pipelines.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

Learn how Amazon SageMaker AI transforms model development with a unified environment for all your AI workloads - from interactive model development on IDEs to maximizing task and compute resource utilization across training and inference workloads. We'll demonstrate how to use SageMaker Studio as the familiar IDE to develop, submit, and monitor ML jobs, while leveraging the scalability and resiliency of HyperPod environment for computationally intensive tasks like training and deploying large foundation models. You will also learn how HyperPod task governance capability can help you automatically allocate compute resources based on task prioritization end-to-end through the model development lifecycle.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

Build robust security frameworks for AI implementations through hands-on coding. We'll implement data protection patterns, secure prompt handling, and PII detection. Code along as we create privacy-preserving pipelines in SageMaker, configure IAM policies for model access control, and automate compliance checks with AWS Config. Develop defenses against prompt injection attacks, implement differential privacy techniques, and build CloudTrail audit trails. Leave with production-ready code templates for governance guardrails and technical safeguards that protect sensitive data throughout the AI lifecycle while enabling innovation and maintaining trust in your AI applications.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

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.

AWSreInvent #AWSreInvent2025 #AWS

Unstructured data often holds untapped value, and Amazon SageMaker makes it possible to turn that data into insights and AI-ready assets. In this session, you'll learn how to bring unstructured data from Amazon S3 into SageMaker, create searchable assets, and build knowledge bases for Amazon Bedrock to improve retrieval-augmented generation (RAG) accuracy. Discover how teams can collaborate across roles, data users can self-serve to find and understand the right data, and governance ensures that the right people get the right access. Bayer will share how they use these capabilities to unlock unstructured data and accelerate research and innovation.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

Amazon SageMaker HyperPod helps build, train and deploy AI models at scale. You can spin-up preferred IDE on HyperPod to develop their models and run experiments, then scale to thousands of accelerators to run distributed training and finally deploy models for real-time or batch inference. With HyperPod task governance capabilities, you can optimize the utilization of the cluster resources. In this talk, we will show how interaction with HyperPod clusters is simplified via the SageMaker HyperPod CLI and SDK, which streamlined end-to-end model development, from training, fine-tuning to deployment. We'll show HyperPod CLI/SDK capabilities with live coding and troubleshooting.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

Apache Spark on AWS Glue, Amazon EMR, and Amazon SageMaker enhances the optimization of large-scale data processing workloads. These include faster read and write throughput, accelerated processing of common file formats, and expanded Amazon S3 support through the S3A protocol for greater flexibility in write operations. In this session, we'll explore recent enhancements in Spark for distributed computation and in-memory storage to enable efficient data aggregation and job optimization. We'll also demonstrate how these innovations, combined with Spark's native capabilities, strengthen governance and encryption to help you optimize performance while maintaining control and compliance. Join us to learn how to build unified, secure, and high-performance ETL pipelines on AWS using Spark.

Learn more: More AWS events: https://go.aws/3kss9CP

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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.

AWSreInvent #AWSreInvent2025 #AWS

This demonstration showcases how conversational AI can create tangible objects through an innovative AWS-powered workflow. Using Amazon Bedrock, Nova Pro, and SageMaker, the system transforms user conversations into personalized 3D-printed keychains. The live demonstration illustrates how businesses can combine generative AI and manufacturing to create unique, personalized customer experiences.

This demonstration showcases how conversational AI can create tangible objects through an innovative AWS-powered workflow. Using Amazon Bedrock, Nova Pro, and SageMaker, the system transforms user conversations into personalized 3D-printed keychains. The live demonstration illustrates how businesses can combine generative AI and manufacturing to create unique, personalized customer experiences.

A look at AWS Bedrock and SageMaker features for prompt-driven AI apps, including capabilities relevant to prompt engineering.