AWS Atlas

Meet Will Horn, founder of global business needs agency (gdna), who is reshaping how companies think about early career talent in the AI era. After discovering Brian Rowe's AWS cloud learning journey https://www.youtube.com/watch?v=6TeYwoDgaBA, Will saw an opportunity to create meaningful pathways for emerging tech professionals.

.Lumen has developed AI-powered glasses for the visually impaired— an innovation that, for the first time in 5,000 years, offers a scalable mobility alternative to the guide dog and white cane. Founder and CEO Cornel Amariei explains how .lumen uses AWS infrastructure and data processing to build (and maintain) a groundbreaking technology capable of bringing better education, employment opportunities, and social integration to 300 million visually impaired individuals globally.

While existing AI assistants focus on code generation with close human guidance, Kiro CLI transforms how developers build software. By using natural language understanding, Kiro can intelligently perform multi-step tasks that go beyond code generation with minimal human intervention by automatically reading project files to build context, generating code diffs, and running shell commands.

Learn how to go from vibe coding to viable code. Developer Advocate Erik Hanchett joins Julian Wood to show how to bring structure to AI coding with spec-driven development. Discover how best to express your intent through natural language specifications and how Kiro turns your prompt into clear requirements, system design, and discrete tasks. See how to delegate tasks to AI agents that trigger on events.

AWS Verified Access just got more powerful! In this video, Rajat Tyagi, AWS Product Manager, introduces a new feature that enables secure access to corporate applications and resources over non-HTTP(S) protocols. Ankush Goyal, Sr. Technical Account Manager at AWS, showcases a live demo highlighting benefits of this game-changing capability in your environment. Key Highlights: - Overview of the New AWS Verified Access Feature: Expand secure access beyond HTTP(S).

In the cloud, make failure your friend. When network issues arise on and off the cloud, having the right diagnostic tools is crucial for quick resolution. In this interactive session, discover how to proactively monitor and swiftly troubleshoot cloud and hybrid networks on AWS.

Cohere's CTO, Saurabh Baji, explores how customers are accelerating AI innovation by using Cohere's models in Amazon Bedrock. Discover how this strategic integration combines Cohere's sophisticated generative AI and advanced semantic search capabilities with Amazon Bedrock's enterprise-scale infrastructure.

Clearwater Analytics, a software-as-a-service FinTech company, needed to reduce ticket resolution times and improve client servicing efficiency. The company built 700+ AI agents using Amazon Bedrock, including an agent called Nikki that helps clients classify principal bonds by leveraging knowledge bases curated from NAIC, client data, and subject matter experts. Hear how from Bharat Mabbu, general manager at Clearwater Analytics.

In this session, explore Amazon Aurora and Amazon RDS cost components and learn important best practices that can help you improve the performance of your relational database workloads while reducing spend on cost components such as compute, storage, backup, and I/O.

How will agentic AI reshape tomorrow’s workforce? Join AWS Executives in Residence Stephen Brozovich, Jake Burns, and Miriam McLemore for a look at how agentic AI is changing entire enterprises—not just IT departments. Unlike previous technology shifts, agentic AI demands integrated cross-functional teams and a fundamental rethinking of competitive advantage.

Toyota Motor North America is redefining efficiency in its software development processes. It has implemented Amazon Q Developer and is harnessing AI to streamline its coding processes. For instance, it has been able to save 1500 hours of manual documentation by leveraging Q Developer's unique AI agents. Furthermore, the company has also tapped into Amazon Q Developer's transformation capabilities to upgrade its Mainframe codebases cost-effectively.

Join Sebastian Leks, AI21 Solutions Architect, as he demonstrates how to overcome size limitations when working with large language models. Learn how to leverage Jamba's impressive 256K token context window through Amazon Bedrock, and see a practical demonstration using a real-world financial document analysis example. Perfect for developers looking to handle large documents efficiently in their AI applications! 🛠️ GitHub: https://github.