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In this episode we're digging into AWS Frontier Agents, AWS's autonomous agents for cloud work. We'll focus on the two that are generally available today: AWS DevOps Agent for cloud operations and incident response, and AWS Security Agent for finding exploitable vulnerabilities in code before it ships. We'll walk through what each agent does, how Security Agent works under the covers, and what to pilot first on your team.

With the support of the Absa Skills Guild, a comprehensive employee cloud training program, Thoko became the first and only female in sub-Saharan Africa to receive the AWS Golden Jacket by achieving all available AWS Certifications. Her mission is to inspire young women in Africa to contribute to the tech landscape and increase female representation.

Capturing event data for significant moments in the game (such as shots, passes, tackles, and fouls), along with positional tracking, advanced stats, and ball data is now standard across professional leagues. With this amount of data, editorial teams and commentators face an overwhelming task: identifying the most relevant stories, during live matches while managing pre- and post-match analysis.

In this session, learn how to build a serverless-first chatbot application by leveraging Amazon Aurora with pgvector as a vector store and Amazon ElastiCache Serverless for Valkey to manage chat history, semantic caching, and agent memory. Discover how to harness these services to create contextually aware, scalable chatbots with agentic capabilities that retain conversational memory across interactions. Explore architectural patterns, implementation strategies, and real-world use cases.

Learn how AWS can help you with data integration and preparing data for analytics, machine learning (ML) and generative AI workloads. Explore new capabilities that enable your users to have controlled access to all relevant data, easily build and maintain scalable and resilient data pipelines, and enhance decision-making quality,all with exceptional price performance. See how zero-ETL and query federation can complement ETL and ELT data pipelines. Learn more: More AWS events: https://go.

When U.S. Hunger, ThriveLink, and HelpLink joined the AWS Social Entrepreneur Accelerator, they discovered each were solving different pieces of the same problem — connecting families in need with food, housing, transportation, and social services. Now, they are combining their platforms into one integrated solution powered by AWS AI. U.S. Hunger connects healthcare with social care. ThriveLink builds AI agents that talk to families over the phone and help them navigate resources.

Apollo Tyres transformed their engineering workflows by migrating to AWS High Performance Computing (HPC). This move integrated simulation applications with design tools, improving performance by up to 59% and reducing costs by over 60%. The company built their infrastructure using AWS ParallelCluster, Amazon DCV for seamless remote workstation access, and FSx for ONTAP storage.

Serverless architectures offer the immense power of distributed systems wrapped in irresistible simplicity. But that simplicity is an illusion. Explore hidden pitfalls in distributed systems and practical strategies to build resilience, illustrated with real-world examples using AWS Lambda and Amazon Kinesis. Above all, embrace failures. In the words of Dr. Werner Vogels: everything fails, all the time. Learn more: More AWS events: https://go.

How do you run one of the world’s largest sovereign wealth funds (nearly $2 trillion) while innovating responsibly? In this episode of AWS Executive Insights, hear from Birgitte Bryne, CTO & COO of Norway’s Norges Bank Investment Management (NBIM), about how NBIM is leveraging data-driven decision making and AI innovation to achieve resilience in the financial world.

Learn how to use the open-source Swift AWS Lambda Runtime to write Lambda functions using the Swift programming language. Sebastien Stormacq joins Julian Wood to show how you can use Swift as a a safe and fast programming language in Lambda. Discover how Swift has evolved beyond its origins as a language for Apple platforms.

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/bedrock-add-cost-allocation-tags The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Sukhmeet shows you how to add cost allocation tags when I invoke Amazon Bedrock on-demand models.

Sustainability regulations require extensive documentation reviews, creating bottlenecks in compliance workflows. RAPID (Review & Assessment Powered by Intelligent Documentation) transforms this process using AI with a human-in-the-loop approach. This solution dramatically accelerates certification and regulatory compliance document reviews - processes traditionally requiring significant expert review hours.