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Company

AWS

Speakers

47

Activities

108

Speakers from AWS

Talks & appearances

108 activities from AWS speakers

In this hands-on workshop, you will build an enterprise AI assistant using Amazon Bedrock and Informatica's no-code/low-code AI Agent Framework. You will also learn how to use pre-built jumpstart recipes to speed up AI solution development. Additionally, you will explore Informatica's Generative AI blueprint, enabling businesses to bring semantic intelligence from Informatica Intelligent Data Management Cloud (IDMC) and integrate trusted, high-quality data from different sources (including Informatica's Business 360 applications) to create business-aware enterprise solutions.

In this hands-on workshop, you will build an enterprise AI assistant using Amazon Bedrock and Informatica’s no-code/low-code AI Agent Framework. You will also learn how to use pre-built jumpstart recipes to speed up AI solution development. Additionally, you will explore Informatica’s overall Generative AI blueprint, enables businesses to bring semantic intelligence from Informatica Intelligent Data Management Cloud (IDMC) and integrate trusted, high-quality data from different sources (incl. Informatica’s Business 360 applications) to create business-aware enterprise solutions.

As organizations increasingly rely on data-driven applications, managing the diverse tools, data, and teams involved can create challenges. Amazon SageMaker Unified Studio addresses this by providing an integrated, governed platform to orchestrate end-to-end data and AI/ML workflows. In this workshop, we’ll explore how to leverage Amazon SageMaker Unified Studio to build and deploy scalable Apache Airflow workflows that span the data and AI/ML lifecycle. We’ll walk through real-world examples showcasing how this AWS service brings together familiar Airflow capabilities with SageMaker’s data processing, model training, and inference features - all within a unified, collaborative workspace. Key topics covered: Authoring and scheduling Airflow DAGs in SageMaker Unified Studio Understanding how Apache Airflow powers workflow orchestration under the hood Leveraging SageMaker capabilities like Notebooks, Data Wrangler, and Models Implementing centralized governance and workflow monitoring Enhancing productivity through unified development environments Join us to transform your ML workflow experience from complex and fragmented to streamlined and efficient.

Join us to explore how AWS is shaping the future of data and AI, unlocking new opportunities for business innovation and data driven decision-making with the next generation of Amazon SageMaker, your center for data, analytics, and AI. Collaborate faster with proven services coming together in a unified experience, with open access to all your data and with built-in governance.

Learn how to build and scale your startup with AWS serverless technologies. We’ll cover a typical web app stack, deployment best practices, and creating a fast-paced innovation environment in the cloud. Plus, discover how to secure funding through AWS Activate and TheArk, now an official AWS Activate Provider for Valais.

This talk discusses the recent improvements that Amazon S3 team has been doing in Iceberg FileIO and LocationProvider to improve Iceberg user experience on S3. This includes better retry and fault tolerant executions (#10433 & #11052), better hashing scheme to reduce throttling (#11112), and integration with S3 Data Acceleration Toolkit and AWS CRT client to improve read performance.

Next generation developer tools that incorporate generative AI are everywhere, but how good are they, and. more importantly, how useful. In this talk I am going to share what I have learned from using these tools over the last 12 months. I will cover the kinds of day-to-day scenarios and use cases I am finding them useful for, how they are helping me address some of my developer problems, and tips I have learned to more effectively use these tools. This session contains live coding/demos that will help you see this in action.

Next generation developer tools that incorporate generative AI are everywhere, but how good are they, and. more importantly, how useful. In this talk I am going to share what I have learned from using these tools over the last 12 months. I will cover the kinds of day-to-day scenarios and use cases I am finding them useful for, how they are helping me address some of my developer problems, and tips I have learned to more effectively use these tools. This session contains live coding/demos that will help you see this in action.