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Join Khendr'a Reid, Global Data and AI Specialist Leader, and Linda O'Connor, Principal GTM Specialist for Amazon SageMaker Lakehouse, as they explore the next generation of Amazon SageMaker and its revolutionary lakehouse architecture built on Apache Iceberg. Discover how AWS is breaking down data silos and unifying data, analytics, and AI at scale to help organizations become truly data-driven.

Discover how Adobe revolutionized document experiences with AI-powered Acrobat using AWS Bedrock! 🚀 In this episode of "How to Build with AWS," we dive deep into Adobe's journey of transforming static PDFs into interactive, intelligent documents that you can have conversations with. Join us as Adobe's engineering team reveals how they built a Bedrock-first architecture to enable AI Assistant capabilities across single documents and document collections (PDF Spaces).

Want to know how serverless experts built an entire learning platform using AI in evenings and weekends? Mark Sailes joins Julian Wood to share how serverless experts built Study from Experts, a focused video learning platform for AWS professionals. Learn the lessons from spec-driven development with AI, from using MCP hooks to keep things in sync, to choosing the right architecture patterns when AI writes your code.

Explore Jefferies Equities' enterprise deployment of a generative AI trading assistant using Amazon Bedrock's Strands Agents framework. This lightning talk will showcase Jefferies’ technical architecture leveraging the Claude foundation model, Model Context Protocol (MCP) tools, and Amazon Bedrock Knowledge Bases for processing real-time trade and transactions data. We’ll demonstrate our serverless event-driven architecture for achieving lower latency response at scale.

Explore how enterprises are adopting and scaling multi-agent systems with Amazon Bedrock and AgentCore for advanced data analysis and research applications. In this session, Dipen Rughwani from Yahoo Finance will share his journey on designing and implementing multi-agent systems for financial question answering. This work investigates methods for orchestrating agents, integrating with Yahoo Finance web services that deliver structured and unstructured data to web and mobile applications.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/advanced-audit-rds-mysql-cloudwatch The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

What if AI's greatest potential isn't replacing humans—but empowering them? In this AWS Executive Insights fireside chat, Ian Wilson, VP of Senior Talent & Transformation at Amazon sits down with Edith Cooper, Co-Founder of Medley, Board Director at Amazon and PepsiCo, and former Goldman Sachs CHRO, to explore how leaders can navigate AI transformation while strengthening human connections.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/import-acm-tls-ssl-certificate The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services, including EC2, S3, IAM, Lambda, Bedrock, and more. Abraar shows you how to import a third-party issued TLS/SSL certificate into AWS Certificate Manager (ACM).

Quantum technologies are moving from the lab to the cloud, and AWS is where that transformation is happening. This lightning talk introduces how AWS is empowering builders at every stage of the quantum journey: from accelerating scientific discovery with Amazon Braket to migrating security services to post-quantum cryptography.

When bringing generative AI applications to production, accuracy is key. LaunchDarkly's AI Configs give you the flexibility to change your generative AI applications at runtime, so you can measure model performance more effectively in a real-world setting. In this session, we'll walk through a simplified RAG implementation of an insurance chatbot using an Amazon Bedrock knowledge base. You'll see a demo of how this chatbot uses LaunchDarkly AI Evals to detect hallucinations in production.

Migration success depends on alignment across business, technical, and operational teams. In this episode, we break down the core steps of a successful migration journey, why each phase matters, and why modernization is no longer optional. You’ll explore the full lifecycle—from discovery and assessment to building a strong business case and aligning roadmaps—while uncovering common pitfalls that slow organizations down.

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