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Discover how AWS is changing data streaming with Amazon Kinesis Data Streams for infrastructure and operations. This session will explore recent innovations in how Kinesis Data Streams enables you to build robust, scalable data streaming applications that can handle millions of events per second. Join this session to see how you can leverage Amazon Kinesis Data Streams to build scalable, resilient data streaming applications for faster insights and improved decision-making.

Measuring the value of software development has challenged organizations for decades. This session shares insights to Amazon's approach of understanding the impact of developer experience and tooling. Learn how to apply these insights to your own team to go beyond lines of code and bring a more strategic level of thinking to your improvements to developer experience. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

What started as a documentation challenge across 60+ products has transformed into an AI-powered solution that streamlines customer support and security operations. Through Amazon Bedrock and Amazon Nova, Fortinet developed FortiAsk, making complex security documentation instantly accessible while maintaining strict data protection standards.

Shantanu Narayen shares how Adobe works with AWS to transform digital experiences with innovative AI capabilities for business professionals and consumers, creators and creative professionals, and marketing professionals and IT professionals. Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Discover how to build production-ready AI applications without deep AI expertise using AWS's Generative AI Application Builder. Learn how to leverage the new enhanced Chat UI with improved error handling and comprehensive feedback collection for LLM responses. See how to integrate Amazon Bedrock's on-demand models, implement RAG for better responses, and utilize Bedrock Converse APIs for improved model support.

Amazon Inspector offers continuous monitoring of your Amazon EC2 instances for software vulnerabilities without installing an agent or additional software. With this capability, you can expand your vulnerability assessment coverage across your EC2 infrastructure with Amazon Inspector agentless scanning for EC2 instances that do not have SSM Agents installed or configured.

Healthcare organizations lose 15-30% of potential revenue due to inefficiencies in Revenue Cycle Management (RCM)—a challenge that costs the industry billions annually. This session demonstrates how AI-powered multi-agent systems built on Amazon Bedrock can revolutionize RCM operations while maintaining HIPAA compliance and regulatory standards.

Curious about serverless computing but find it confusing? Join Eric and his mom, Mama J, to learn about serverless computing and AWS Lambda in a way that anyone can understand. Follow AWS Developers! 🆇 X: https://go.aws/3OY962D 💼 LinkedIn: https://go.aws/4lquGcb Learn more about Serverless: https://go.

Model Context Protocol (MCP) is an open protocol that standardizes how AI models can, in a secure and structured way, access external tools, data sources, and APIs. Join this session to learn best practices on how to securely implement MCP server-based tools to enhance development workflows with richer context in order to help developers complete coding tasks efficiently. We'll also cover relevant use cases and discuss the tradeoffs between using RAG verus MCP.

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

Neptune Graph Explorer: Enhancing Graph Database Exploration This video walks through the key capabilities of Neptune Graph Explorer, focusing on features designed to streamline graph database operations and improve productivity. Key Highlights: • Query Editor Support: Work efficiently with both Gremlin and openCypher query languages using an editor equipped with syntax highlighting and auto-completion • Customizable Visualization: Adapt graph visualizations to your needs with configurable...

Amazon Bedrock's Project Mantle represents a fundamental reimagining of how we serve generative AI inference at scale. Join AWS engineers as we unveil Mantle's architecture and take you behind the scenes, exploring how we've raised the bar on security, performance, and developer experience.