AWS Atlas

Insurance companies face critical challenges in underwriting profitability, pricing optimization, and risk assessment due to siloed data systems and fragmented analytics tools. Cross-functional teams face challenges with manual processes and poor collaboration, hampering quick decision-making in competitive markets. AWS SageMaker Unified Studio addresses these challenges by providing an integrated platform combining data analytics, ML, and GenAI capabilities.

The solution combines Amazon Connect's contact center features with telecom-specific capabilities, including usage-based billing and self-service portals. It helps telcos serve the SMB market with minimal investment, cutting time-to-market by 75% while keeping operations profitable through automated, cloud-native service delivery. Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.

In this fireside chat, AWS’s Tom Godden sits down with Matt Fitzpatrick, former Senior Partner of QuantumBlack, AI by McKinsey and current CEO of Invisible Technologies. Drawing from his experience leading major enterprise AI initiatives, Fitzpatrick reveals why only 8% of AI models succeed and outlines practical strategies for scaling AI in your organization.

Learn how Cox Automotive scaled Agentic AI from experimentation to production in just one month using Amazon Bedrock AgentCore and Strands. We'll share Cox's methodology for scaling Agentic AI, including reference architectures and governance frameworks that enable startup speed with enterprise controls. Discover how AgentCore primitives—runtime, identity, gateway, and memory—accelerated their journey.

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.

The convergence of FinOps principles and generative AI is providing organizations new ways they better manage cloud spending and investment strategises. This session will discuss how organizations are successfully deploying generative AI to automate anomaly detection, enhance resource allocation, and convert complex cloud financial data into actionable insights.

When paths diverge in open source, innovation often follows. Join Corey Quinn and Madelyn Olson as they dive into how Amazon ElastiCache for Valkey cut prices by up to 33% while simultaneously improving both performance and reliability through community-driven development.

Learn how to manage logging costs at scale and more easily log to additional destinations. Product Manager Shridhar Pandey joins Julian Wood, to dive into the new volume-based tiered pricing for CloudWatch Logs. See how you can reduce your Lambda logging costs with no code or configuration changes from you. Discover how you can now more easily log directly to Amazon S3 and Amazon Data Firehose for flexibility in log management. We are also available to answer any of your serverless questions.

Learn how to optimize your serverless costs and performance with Lambda Managed Instances. Sisira Narayana, Debasis Rath, and Rohan Mehta join Julian Wood to show how Lambda Managed Instances automatically manages long-running execution environments for you, allowing multiple concurrent invocations on the same instance. Discover how to use multi-concurrency to handle more requests per instance while reducing cold starts and costs.

FirstCry, the leading e-commerce platform for children's products in India, has seen remarkable expansion since its launch in 2010. Previously, data transfers from source to target faced challenges like missing data and corruption, requiring a large team to manage pipelines. With Amazon Redshift and zero-ETL, Firstcry now moves terabytes of data seamlessly in minutes—reducing manpower needs from 10-12 people to just one.

Join this session to learn about the latest capabilities in Amazon SageMaker Catalog that help organizations govern data and AI more effectively. We will walk through new features that make it easier to discover, govern, and securely share structured and unstructured data, models, business intelligence dashboards, and applications. You’ll hear how customers are using these capabilities to improve data discovery and access, streamline compliance, and support AI initiatives.

In this video, you'll see how to integrate software from AWS Marketplace into EC2 Image Builder. With this capability, you can discover and deploy third-party software components directly within the EC2 Image Builder, reduce time-to-market for infrastructure deployments with automated software updates, and enhance security and compliance by leveraging trusted partner solutions in EC2 Image Builder. For more information on this topic, please visit the resource(s) below: https://go.