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Discover how Deutsche Telekom leveraged AWS Enterprise Support and AWS Countdown (AWS Countdown Premium provides critical support across all phases of cloud projects to accelerate business transformation). In this customer testimonial, learn how Enterprise Support helped Deutsche Telekom drive innovation and achieve their strategic business objectives. Learn more about AWS Enterprise Support: https://go.aws/3VssXId Learn more about AWS Countdown: https://go.

Manufacturing applications like Ignition, SCADA, MES, and robotic control require low-latency connectivity to on-premises manufacturing equipment. Join this session to discover how Rivian, a cloud-first automotive manufacturer, is modernizing mission-critical and latency-sensitive manufacturing applications with AWS Outposts.

Heidi Health started building generative AI for healthcare when most regulators were still grappling with what that meant. After pivoting from appointment prep to AI medical scribing with the explosion of Gen AI, the team confronted challenges unique to gen AI startups: validating non-deterministic outputs at scale, selling probabilistic technology to risk-averse hospitals, and navigating compliance frameworks designed for rule-based software.

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/athena-iceberg-table-error The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Priya shows you how to address situations that generate error messages when using Apache Iceberg tables with Amazon Athena.

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.

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/dynamodb-provided-key-element-error The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Aayush shows you how to troubleshoot the "provided key element does not match the schema" error in DynamoDB.

Discover how the AWS Managed Services Provider (MSP) Program helps partners become trusted cloud advisors. Through rigorous validation and expert training, AWS MSP Partners deliver end-to-end cloud solutions—from migration planning to optimization—while accessing signature benefits and resources to grow their business. Learn more about AWS Managed Service Provider Program: http://go.aws/4hjy8TG Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.

Can your GenAI workflows survive a failure, or do they start over every time? Michael Gasch and Eric Johnson join Julian Wood to explore the latest in AWS Lambda durable functions, from Java SDK GA, S3 File support, to what's coming next. Learn when durable functions are the right fit for your AI architecture and when they're not. Discover proven patterns for GenAI workloads including workflow callbacks, condition handling, and mixing agent runtimes with durable functions.

In this video, Manuel Haug, Field CTO at Celonis, demonstrates how the company is revolutionizing process intelligence through AWS's AI capabilities. Discover how Celonis leverages Amazon Bedrock to power their platform, which helps organizations optimize and automate their business processes. Learn how their solutions deliver significant efficiency gains, with one manufacturing customer saving over 240 hours monthly by automating root cause analysis across 30 production sites.

Oracle Database@AWS is a revolutionary offering that puts Oracle Exadata hardware inside AWS data centers for low-latency, high-speed access to applications in AWS. Listen to experts from Oracle and Amazon describe how these cloud providers work together to bring the unparalleled performance and reliability of OCI database services directly into your Amazon network and the AWS Management Console, enabling you to migrate and run your Oracle-based enterprise workloads in AWS.

Most organizations are stuck in a decision paradox—facing so many decisions that they freeze instead of moving forward. Meet Aily Labs, the first AI decision intelligence app that places a decision advisor into the hands of every employee. Founder Bianca Anghelina reveals how AI agents run hundreds of thousands of what-if scenarios in real-time to optimize everything from supply chain inventory to resource allocation—and why the future of enterprise operations isn't about making more...

Amazon S3 internally processes hundreds of petabytes daily across microservices, generating millions of logs. This session chronicles S3's journey from basic log analysis to a modern Apache Iceberg-based data lake. We’ll explore key architectural transitions: replacing legacy processing with SQL capabilities, migrating from unstructured text to Iceberg tables, and implementing enhanced ingestion engines.