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In this show we will dive deep how to augment existing real-time architectures using a practical blueprint that blends event streaming, lakehouse storage, traditional ML, and AI agents. Key takeaways include building a centralized decision engine, designing scalable agent orchestration, and integrating human oversight where required.

In this episode of "AWS Show and Tell — What's New in Amazon Bedrock AgentCore Memory", we'll dive into the latest memory capabilities that make your AI agents smarter, more personalized, and truly context-aware across every interaction. Through hands-on demonstrations, you'll learn how to implement Episodic Memory to enable agents that reflect and learn across past conversations, leverage Streaming to read any new events from Long term memory, and apply proven memory patterns that combine...

As organizations build and customize multiple AI models and agents, managing experiments, versions, and evaluations becomes increasingly complex. In this session, see how Intuit, a leader in financial technology, is using Amazon SageMaker with MLflow to accelerate their AI initiatives and empower their teams to build and deploy AI solutions with confidence.

Discover how to architect scalable, production-ready agentic AI applications on AWS that deliver autonomous, multi-agent solutions for complex business challenges. Many organizations struggle with designing AI agents for real-world complexity, from managing context effectively to ensuring secure, scalable deployments.

Discover how to build AI agents through voice using Amazon Nova 2 Sonic. We'll show you how to set up Kiro and configure Nova 2 Sonic to listen to your development ideas, understand your requirements, and generate functional code in real-time. Watch us go from a casual conversation to a fully deployed production agent in one session. Github Repo: https://go.aws/3OAG2Oe Download Kiro: https://go.aws/4aqiX9D Follow AWS Developers! 📺 Instagram: https://go.aws/4tM9IrI 🆇 X: https://go.

Clearwater Analytics is transforming investment management with its cloud-native SaaS platform, driven by AI-powered insights. Their mission is to deliver the most trusted, comprehensive technology that simplifies the investment lifecycle and revolutionizes the world of investing. With AWS, Clearwater built the Clearwater Intelligent Console (CWIC) suite, featuring CWIC Studio and CWIC Lounge, powered by Amazon Bedrock, SageMaker, and other AWS services.

How AWS powers new Next Gen Stats through the annual NFL Big Data Bowl. Learn more about AWS events: https://go.aws/events 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.

Celebrate ten years of Aurora! Explore the evolution of Aurora, see live demos, chat with AWS experts, & learn what’s next!

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.

In this guide to Amazon EC2, Du'An Lightfoot, Sr. AI Engineer at AWS, breaks down everything you need to know to get started with Elastic Compute Cloud. Learn how to launch your first instance, set up a web server, and make informed decisions about instance types. Perfect if you're new to AWS or looking to optimize your cloud infrastructure. Read more on Server as a Service: https://go.aws/47Qh58b Get started with Amazon EC2: https://go.aws/40Kce4J Follow AWS Developers! 🆇 X: https://go.

In part 5 of this 5 part video series on Small Language Models with Arcee AI, Andrew Walko and Nolan Chen define what an Agent is and discuss how SLMs, LLMs, and Intelligent Model Routing can fit in Agentic solutions. Learn more - https://go.aws/4laWv7r Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.

"🛑 Your AI agent has production access. Do you know exactly what it's allowed to do? Most teams find out where the autonomy line is after something goes wrong. This stream is about how to draw that line first. The problem isn't the model — it's that nobody defined the rules of engagement before deployment. Autonomous agents are not an AI problem. They're an architecture problem.