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Deploying applications that utilize large language models (LLMs) at enterprise scale presents unique challenges beyond traditional MLOps. In this session, aimed at developers and data scientists, learn how Allianz built a comprehensive AIOps framework for bringing AI-powered solutions to production. Discover how they leveraged Amazon Bedrock, Amazon SageMaker, and open-source solutions to create an ecosystem serving a wide range of user groups.

Navigate the intersection of AI and security culture in this practical session. Learn how security teams can effectively embrace AI innovation through incremental steps and validation techniques. Using real-world examples, we'll demonstrate how security practitioners can adapt their skills to AI challenges regardless of their level of specialized expertise and share strategies for building security-aware AI practices.

Learn how to drive AI transformations that deliver results using existing operational data. Hear firsthand from customers unlocking more value from their data and accelerating business decision-making by offering BI self-service through Amazon Quick Suite. See how structured and unstructured data can come together in chat experiences that help business users make decisions with more complete information, explore scenarios, and get recommendations—all without specialized skills or training.

Meet the future of customer experience: AI agents that understand, reason, and take action. Amazon Connect Customer AI agents dynamically navigate your organization’s resources to find solutions and take action to resolve customer needs. They handle many issues on their own, but also work in collaboration with your workforce to deliver personal, effortless customer experiences. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.

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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/connect-outbound-allow-list The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Levu shows you how to make outbound calls to specific countries from your Amazon Connect instance. Subscribe to AWS: https://go.

Today we will be diving into The Frugal Architect- Simple laws for building cost-aware, sustainable, modern architectures. Created by Dr. Werner Vogels, CTO of Amazon.com. We discuss the laws and practical applications. https://thefrugalarchitect.com/?trk=ad714902-ef07-4ce3-bbb9-a6e6201b5aca&sc_channel=sm https://data.finops.org/library?trk=ad714902-ef07-4ce3-bbb9-a6e6201b5aca&sc_channel=sm

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/redshift-s3-cross-account The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Nikhil shows you how to copy or unload data from Amazon Redshift to an Amazon S3 bucket that's in another AWS account.

In this video, we build an AI-powered semantic search solution for MySQL/MariaDB workloads using Amazon Bedrock and MariaDB Vector support on Amazon RDS. Unlike traditional keyword-based search, semantic search understands the meaning and context behind a query — similar to how Amazon Music finds workout tracks without matching the word "workout," or how Airbnb returns "lakeside chalet" when you search "cozy cabin near a lake.

Multi-agent AI systems are becoming essential for multi-step production applications, but require specialized models that are small, fast, and cost-effective. This session explores fine-tuning, knowledge distillation, and preference alignment techniques to reduce latency and costs while maintaining performance. Cosine AI will dive into how they leverage multi-agent reasoning to power their AI coding agent and scales customized agents effectively.

As organizations modernize applications for scalability and agility, database architecture becomes crucial. This session explores Amazon Aurora DSQL, a serverless, distributed SQL database for next-generation workloads. Learn to build modern serverless applications using Amazon Aurora DSQL with Amazon API Gateway and AWS Lambda. Examine performance characteristics, scaling behavior, and cost considerations, along with current limitations.

In this session, learn about new Amazon Neptune capabilities for high-performance graph analytics and queries over data lakes to unlock the implicit and explicit relationships in your data, driving more accurate, trustworthy generative AI responses. We'll demonstrate building knowledge graphs from structured and unstructured data, combining graph algorithms (PageRank, Louvain clustering, path optimization) with semantic search, and executing Cypher queries on Parquet and Iceberg formats in...