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Discover how The New York Times overhauled its gaming platform by migrating critical gaming workloads from Google Cloud Platform to Amazon Web Services. Learn why this media giant chose to make the switch and explore the best practices that ensured a seamless transition of some of the internet's most popular pages and games. We'll delve into the journey from Google's Datastore, App Engine, and GKE to Amazon Elastic Kubernetes Service(EKS) and Amazon DynamoDB.

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Precisely, a data integrity software provider, built its cloud-native SaaS platform on AWS to accelerate innovation, scale globally, and optimize costs. By leveraging services like Amazon Bedrock, Amazon EKS, Amazon S3 and S3 Vectors, Precisely delivers high-performance data management and AI-powered capabilities, including natural language search. Watch the video to learn how its partnership with AWS enables faster development, stronger security, and direct collaboration with engineering teams.

Legacy data warehouses often slow innovation with outdated code, silos, and costly migrations. In this session, we’ll share proven best practices to modernize with confidence. Learn how to profile and assess source systems, convert legacy SQL at scale with automation, and validate data integrity to avoid surprises. We’ll cover an end-to-end process—from discovery through reconciliation—that reduces risk, improves predictability, and accelerates migration timelines by up to 50%.

Sony Group, known for filling the world with emotion through creativity and technology, turned to AWS to build a powerful generative AI platform. With a global and diverse business, Sony needed flexibility to scale AI efficiently and rapidly across platforms. By leveraging AWS services like Amazon Bedrock and SageMaker Unified Studio, they created a multi-platform, multi-LLM, auto-scaling system that empowers operational efficiency and AI democratization.

Communications Data Group (CDG) builds software that helps telecommunications providers deliver unmatched customer experiences. Over the last three years, demand for its operational and business support solutions has risen dramatically, culminating in 100% year-over-year growth. By working with AWS, CDG is able to drive greater efficiencies internally and for its customers.

Want to optimize your data pipeline orchestration on AWS? John Jackson and Kamen Sharlandjiev join Julian Wood to break down Apache Airflow deployment options on AWS. Explore the key differences between Amazon Managed Workflows for Apache Airflow (MWAA) Provisioned and Serverless modes so you can chose which model fits your workload characteristics and operational requirements. Discover how to evaluate trade-offs around scaling behavior, cost implications, and infrastructure management.

In this session, you'll discover how to navigate complex access patterns and scale requirements using natural language conversations, generate production-ready data models with expert-engineered guidance built into AI assistants, and handle challenging scenarios like traffic spikes and multi-access pattern optimization.

Learn how to deploy AI agents with controls that restrict what they can say and do. This session covers Amazon Bedrock Guardrails that filter agent content (input/output) and Amazon Bedrock AgentCore Policy that enforces rules on agent actions. Attendees will learn how to: - Choose between guardrails (controlling input/output) and policy (controlling actions) - Define policies that enforce rules on agent actions - How AWS uses automated reasoning to validate controls.

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.

Organizations are aiming to deliver responsive generative AI experiences that can seamlessly scale across enterprise use cases. Learn how Sun Life transformed content creation and workflow orchestration by building Content Assist—a content, scoring, and rewriting solution that can be trained on any brand guidelines, tone, or examples.

In this session from the Clinical Trials breakout track at the AWS Life Sciences Symposium 2025, Novartis shares their focused and adaptive AI strategy towards unlocking the next phase of clinical trials using their IDS (intelligent decision system) platform. Learn more: AWS Life Sciences Symposium: https://go.aws/43KbEGl AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.