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For more details on this topic, see the Knowledge Center article associated with this video: https://repost.aws/knowledge-center/ttl-dynamodb Nitesh shows you how to set up TTL for DynamoDB? 0:00 Introduction 0:31 DynamoDB Console 1:07 Turn on Time to Live (TTL) 3:10 Closing Subscribe: More AWS videos: https://go.aws/3m5yEMW More AWS events videos: https://go.aws/3ZHq4BK Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.

What once took months now fits into a single two-week sprint. With over 1.5 million lines of code modernized monthly and a shift from Windows to Linux yielding a 30% cost reduction, AWS Transform is helping Thomson Reuters reduce technical debt by up to 50%—freeing teams to focus on innovation. Its web experience enables the parallel modernization of hundreds of applications, allowing Thomson Reuters to scale transformation in a fraction of the time.

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.

As a security leader you’re being asked to find ways to securely enable your business to use data to drive innovation. Yet, data security is historically the least mature domain for enterprise organizations. In this session, learn how forward-thinking CISOs are leveraging AI to transform their data security strategy so that it evolves into the most mature security program and the driving force for innovation and business growth. This presentation is brought to you by Cyera, an AWS Partner.

Join AWS distinguished engineers and senior leaders as they explore why AI agents represent the next frontier in software development. Learn why the time is now, and why AWS is the best place to build them. Discover how AWS is transforming AI agent development, and the opportunities available through the AWS AI Agent Hackathon.

Building on what Amazon RDS Performance Insights offers, Amazon CloudWatch Database Insights launched in December of 2024. CloudWatch Database Insights provides a superset of functionality Performance Insights offered, adding powerful new features like fleet-level monitoring, lock analysis, execution plan capture, performance analysis on demand, and integration with Amazon CloudWatch Application Signals to correlate database performance events with segments of application code.

Amazon CloudFront SaaS Manager reimagines how platform providers manage multi-domain content delivery networks on CloudFront by enabling organizations to scale web applications across millions of subdomains and vanity domains without compromising security or hitting infrastructure limits.

Discover how Audi AG worked with AWS to build a Digital Production Platform that connects over 50 manufacturing plants worldwide. Mathias Mayer, Production Expert at Audi, shares how the company transformed from having limited data access to processing 15 gigabytes of manufacturing data daily from a single plant. In this video, learn how Audi: - Produces 1.

Learn how to balance AI innovation with risk management in this episode of AWS Executive Insights, featuring Adam Marré, CISO at Arctic Wolf. Drawing from his unique background spanning everything from the US Army, to video game design at Disney Interactive, to FBI cybercrime investigations, Marré shares his perspective on building next-generation security operations and navigating AI security controls in today's threat landscape.

Join us for an engaging discussion on generative AI, data democratization, and business transformation with Simon Treacy, Head of UK Data & AI Solution Architecture at AWS, Alex Galbraith, CTO of SoftwareOne, and Dimitrij Zub, Director Global Application Services, Data & AI at SoftwareOne. Together, they explore how organizations can leverage AI and data to solve real-world challenges, build trust in technology, and unlock innovation.

Transform your edge computing strategy with machine learning! In this video, I demonstrate how AWS IoT Greengrass enables you to run powerful ML inference directly on edge devices—reducing latency, ensuring operational continuity, and dramatically cutting bandwidth costs.

What if your databases could help identify and diagnose problems before they impact production? This session demonstrates how to implement AI agents that monitor and analyze AWS database services, including Amazon RDS, Amazon Aurora, and Amazon Redshift. The presentation covers building intelligent agents that detect performance bottlenecks, surface query pattern issues, and suggest optimization strategies.